Module Manual

Master

Theoretical Mechanical Engineering

Cohort: Winter Term 2015

Updated: 12th December 2016

Program description

Content

The 4-semester research-oriented master's degree (MSc) "Theoretical Mechanical Engineering" builds on research-oriented Mechanical Engineering-oriented undergraduate degree programs (BSc). Required are in-depth knowledge in mathematics and science and engineering fundamentals. The graduates acquire basic research and methodological oriented content, including interdisciplinary orientation, mechanical engineering knowledge and associated mechanical engineering expertise to develop mathematical descriptions, analysis and synthesis of complex technical systems methods, products or processes. In this course, the program combines the two most important theoretical and methodological areas, namely the simulation technology and systems theory. For this purpose, mathematical foundations and in-depth knowledge in areas such as the Technical dynamics, control engineering, numerical and structural mechanics are learned.


Career prospects

The master's degree program in Theoretical Mechanical Engineering prepares its graduates for professional and managerial positions in research and development. Through the course’s focus on theory-method-oriented content and principles as well as intensive scientific thinking training, graduates are qualified for a wide field of work, especially in the area of mechanical and automotive engineering, biotechnology and medical technology, power engineering, aerospace engineering, shipbuilding, automation , materials science and related fields.


Learning target

The graduates can:

• analyze and solve scientific problems, even if they are defined uncommon or incomplete and competing specifications

• formulate abstract and complex problems from a new or evolving the field of their discipline

• apply innovative methods in basic research oriented problem solving and develop new scientific methods

• identify information needs and find information

  • plan and perform theoretical and experimental investigations

• Evaluate data critically and draw conclusions

• analyze and evaluate the use of new and emerging technologies.

Graduates are able to:

• develop concepts and solutions to basic research, partly unusual problems, possibly involving other disciplines,

  • create and develop new products, processes and methods

• apply their scientific engineering judgment to work with complex, possibly incomplete information, to identify contradictions and deal with them

• classify knowledge from different fields methodically and systematically, to combine and handle complexity;

• familiarize themselves systematically, and in a short time frame, with new tasks

  • To reflect systematically the non-technical implications of engineering activity and to act responsibly

• to develop solutions and further methodological skills.


Program structure

The course is divided into basic research core courses and an application-specific specialization. In addition to the core subjects and mathematics, students develop in-depth knowledge in areas such as technical dynamics, control engineering, numerical and structural mechanics. To deepen the foundations of application specific specializations, modules are selected. Other technical and non-technical elective courses may be selected from the range of subjects TUHH and the University of Hamburg. During the last semester the Master thesis is carried out.

The curricular content is thus divided into six groups:

• Key skills, required courses (24 ECTS)

• Key skills, electives (24 ECTS)

• Project Work (12 ECTS)

• A specialization (18 ECTS)

• General non-technical content (12 ECTS)

• Master's thesis (30 ECTS).

The areas of specialization are:

• Biological and Medical Engineering

• Energy Technology

• Aircraft Systems

• Maritime Technology

• Numerical and computer science

• Product development and production

• Materials Engineering

The choice of specialization is required, its contents are closely related to the research topics of the Institute. The key skills already acquired in undergraduate study for mechanical engineering are developed within the Master's program.

Core qualification

Important

Module M0523: Business & Management

Module Responsible Prof. Matthias Meyer
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students are able to find their way around selected special areas of management within the scope of business management.
  • Students are able to explain basic theories, categories, and models in selected special areas of business management.
  • Students are able to interrelate technical and management knowledge.


Skills
  • Students are able to apply basic methods in selected areas of business management.
  • Students are able to explain and give reasons for decision proposals on practical issues in areas of business management.


Personal Competence
Social Competence
Autonomy
  • Students are capable of acquiring necessary knowledge independently by means of research and preparation of material.


Workload in Hours Depends on choice of courses
Credit points 6
Courses
Information regarding lectures and courses can be found in the corresponding module handbook published separately.

Module M0524: Nontechnical Elective Complementary Courses for Master

Module Responsible Dagmar Richter
Admission Requirements None
Recommended Previous Knowledge None
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The Non-technical Elective Study Area

imparts skills that, in view of the TUHH’s training profile, professional engineering studies require but are not able to cover fully. Self-reliance, self-management, collaboration and professional and personnel management competences. The department implements these training objectives in its teaching architecture, in its teaching and learning arrangements, in teaching areas and by means of teaching offerings in which students can qualify by opting for specific competences and a competence level at the Bachelor’s or Master’s level. The teaching offerings are pooled in two different catalogues for nontechnical complementary courses.

The Learning Architecture

consists of a cross-disciplinarily study offering. The centrally designed teaching offering ensures that courses in the “non-technical department” follow the specific profiling of TUHH degree courses.

The learning architecture demands and trains independent educational planning as regards the individual development of competences. It also provides orientation knowledge in the form of “profiles”.

The subjects that can be studied in parallel throughout the student’s entire study program - if need be, it can be studied in one to two semesters. In view of the adaptation problems that individuals commonly face in their first semesters after making the transition from school to university and in order to encourage individually planned semesters abroad, there is no obligation to study these subjects in one or two specific semesters during the course of studies.

Teaching and Learning Arrangements

provide for students, separated into B.Sc. and M.Sc., to learn with and from each other across semesters. The challenge of dealing with interdisciplinarity and a variety of stages of learning in courses are part of the learning architecture and are deliberately encouraged in specific courses.

Fields of Teaching

are based on research findings from the academic disciplines cultural studies, social studies, arts, historical studies, communication studies and sustainability research, and from engineering didactics. In addition, from the winter semester 2014/15 students on all Bachelor’s courses will have the opportunity to learn about business management and start-ups in a goal-oriented way.

The fields of teaching are augmented by soft skills offers and a foreign language offer. Here, the focus is on encouraging goal-oriented communication skills, e.g. the skills required by outgoing engineers in international and intercultural situations.

The Competence Level

of the courses offered in this area is different as regards the basic training objective in the Bachelor’s and Master’s fields. These differences are reflected in the practical examples used, in content topics that refer to different professional application contexts, and in the higher scientific and theoretical level of abstraction in the B.Sc.

This is also reflected in the different quality of soft skills, which relate to the different team positions and different group leadership functions of Bachelor’s and Master’s graduates in their future working life.

Specialized Competence (Knowledge)

Students can

  • explain specialized areas in context of the relevant non-technical disciplines,
  • outline basic theories, categories, terminology, models, concepts or artistic techniques in the disciplines represented in the learning area,
  • different specialist disciplines relate to their own discipline and differentiate it as well as make connections, 
  • sketch the basic outlines of how scientific disciplines, paradigms, models, instruments, methods and forms of representation in the specialized sciences are subject to individual and socio-cultural interpretation and historicity,
  • Can communicate in a foreign language in a manner appropriate to the subject.
Skills

Professional Competence (Skills)

In selected sub-areas students can

  • apply basic and specific methods of the said scientific disciplines,
  • aquestion a specific technical phenomena, models, theories from the viewpoint of another, aforementioned specialist discipline,
  • to handle simple and advanced questions in aforementioned scientific disciplines in a sucsessful manner,
  • justify their decisions on forms of organization and application in practical questions in contexts that go beyond the technical relationship to the subject.



Personal Competence
Social Competence

Personal Competences (Social Skills)

Students will be able

  • to learn to collaborate in different manner,
  • to present and analyze problems in the abovementioned fields in a partner or group situation in a manner appropriate to the addressees,
  • to express themselves competently, in a culturally appropriate and gender-sensitive manner in the language of the country (as far as this study-focus would be chosen), 
  • to explain nontechnical items to auditorium with technical background knowledge.





Autonomy

Personal Competences (Self-reliance)

Students are able in selected areas

  • to reflect on their own profession and professionalism in the context of real-life fields of application
  • to organize themselves and their own learning processes      
  • to reflect and decide questions in front of a broad education background
  • to communicate a nontechnical item in a competent way in writen form or verbaly
  • to organize themselves as an entrepreneurial subject country (as far as this study-focus would be chosen)     



Workload in Hours Depends on choice of courses
Credit points 6
Courses
Information regarding lectures and courses can be found in the corresponding module handbook published separately.

Module M1259: Technical Complementary Course Core Studies for TMBMS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Examination according to Subject Specific Regulations
Examination duration and scale
Assignment for the Following Curricula Theoretical Mechanical Engineering: Core qualification: Elective Compulsory

Module M0751: Vibration Theory

Courses
Title Typ Hrs/wk CP
Vibration Theory (L0701) Lecture 3 6
Module Responsible Prof. Norbert Hoffmann
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students are able to denote terms and concepts of Vibration Theory and develop them further.
Skills Students are able to denote methods of Vibration Theory and develop them further.
Personal Competence
Social Competence Students can reach working results also in groups.
Autonomy Students are able to approach individually research tasks in Vibration Theory.
Workload in Hours Independent Study Time 138, Study Time in Lecture 42
Credit points 6
Examination Written exam
Examination duration and scale 2 Hours
Assignment for the Following Curricula Energy Systems: Core qualification: Elective Compulsory
International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Product Development, Materials and Production: Core qualification: Compulsory
Naval Architecture and Ocean Engineering: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core qualification: Elective Compulsory
Course L0701: Vibration Theory
Typ Lecture
Hrs/wk 3
CP 6
Workload in Hours Independent Study Time 138, Study Time in Lecture 42
Lecturer Prof. Norbert Hoffmann
Language DE
Cycle WiSe
Content Linear and Nonlinear Single and Multiple Degree of Freedom Oscillations and Waves
Literature K. Magnus, K. Popp, W. Sextro: Schwingungen. Eine Einführung in physikalische Grundlagen und die theoretische Behandlung von Schwingungsproblemen.

Module M0808: Finite Elements Methods

Courses
Title Typ Hrs/wk CP
Finite Element Methods (L0291) Lecture 2 3
Finite Element Methods (L0804) Recitation Section (large) 2 3
Module Responsible Prof. Otto von Estorff
Admission Requirements none
Recommended Previous Knowledge

Mechanics I (Statics, Mechanics of Materials) and Mechanics II (Hydrostatics, Kinematics, Dynamics)
Mathematics I, II, III (in particular differential equations)

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students possess an in-depth knowledge regarding the derivation of the finite element method and are able to give an overview of the theoretical and methodical basis of the method.



Skills

The students are capable to handle engineering problems by formulating suitable finite elements, assembling the corresponding system matrices, and solving the resulting system of equations.



Personal Competence
Social Competence -
Autonomy

The students are able to independently solve challenging computational problems and develop own finite element routines. Problems can be identified and the results are critically scrutinized.



Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula Civil Engineering: Core qualification: Compulsory
Energy Systems: Core qualification: Elective Compulsory
Aircraft Systems Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Aircraft Systems Engineering: Specialisation Air Transportation Systems: Elective Compulsory
Computational Science and Engineering: Specialisation Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
Mechatronics: Core qualification: Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Product Development, Materials and Production: Core qualification: Compulsory
Technomathematics: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core qualification: Compulsory
Course L0291: Finite Element Methods
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Otto von Estorff
Language EN
Cycle WiSe
Content

- General overview on modern engineering
- Displacement method
- Hybrid formulation
- Isoparametric elements
- Numerical integration
- Solving systems of equations (statics, dynamics)
- Eigenvalue problems
- Non-linear systems
- Applications

- Programming of elements (Matlab, hands-on sessions)
- Applications

Literature

Bathe, K.-J. (2000): Finite-Elemente-Methoden. Springer Verlag, Berlin

Course L0804: Finite Element Methods
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Otto von Estorff
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0846: Control Systems Theory and Design

Courses
Title Typ Hrs/wk CP
Control Systems Theory and Design (L0656) Lecture 2 4
Control Systems Theory and Design (L0657) Recitation Section (small) 2 2
Module Responsible Prof. Herbert Werner
Admission Requirements None
Recommended Previous Knowledge Introduction to Control Systems
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can explain how linear dynamic systems are represented as state space models; they can interpret the system response to initial states or external excitation as trajectories in state space
  • They can explain the system properties controllability and observability, and their relationship to state feedback and state estimation, respectively
  • They can explain the significance of a minimal realisation
  • They can explain observer-based state feedback and how it can be used to achieve tracking and disturbance rejection
  • They can extend all of the above to multi-input multi-output systems
  • They can explain the z-transform and its relationship with the Laplace Transform
  • They can explain state space models and transfer function models of discrete-time systems
  • They can explain the experimental identification of ARX models of dynamic systems, and how the identification problem can be solved by solving a normal equation
  • They can explain how a state space model can be constructed from a discrete-time impulse response

Skills
  • Students can transform transfer function models into state space models and vice versa
  • They can assess controllability and observability and construct minimal realisations
  • They can design LQG controllers for multivariable plants
  •  They can carry out a controller design both in continuous-time and discrete-time domain, and decide which is  appropriate for a given sampling rate
  • They can identify transfer function models and state space models of dynamic systems from experimental data
  • They can carry out all these tasks using standard software tools (Matlab Control Toolbox, System Identification Toolbox, Simulink)

Personal Competence
Social Competence

Students can work in small groups on specific problems to arrive at joint solutions. 

Autonomy

Students can obtain information from provided sources (lecture notes, software documentation, experiment guides) and use it when solving given problems.

They can assess their knowledge in weekly on-line tests and thereby control their learning progress.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula Computer Science: Specialisation Intelligence Engineering: Elective Compulsory
Electrical Engineering: Core qualification: Compulsory
Energy Systems: Core qualification: Elective Compulsory
Aircraft Systems Engineering: Specialisation Aircraft Systems Engineering: Compulsory
Computational Science and Engineering: Specialisation Systems Engineering: Elective Compulsory
Computational Science and Engineering: Specialisation Systems Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Electrical Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
Mechatronics: Core qualification: Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Product Development, Materials and Production: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core qualification: Compulsory
Course L0656: Control Systems Theory and Design
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Prof. Herbert Werner
Language EN
Cycle WiSe
Content

State space methods (single-input single-output)

• State space models and transfer functions, state feedback 
• Coordinate basis, similarity transformations 
• Solutions of state equations, matrix exponentials, Caley-Hamilton Theorem
• Controllability and pole placement 
• State estimation, observability, Kalman decomposition 
• Observer-based state feedback control, reference tracking 
• Transmission zeros
• Optimal pole placement, symmetric root locus 
Multi-input multi-output systems
• Transfer function matrices, state space models of multivariable systems, Gilbert realization 
• Poles and zeros of multivariable systems, minimal realization 
• Closed-loop stability
• Pole placement for multivariable systems, LQR design, Kalman filter 

Digital Control
• Discrete-time systems: difference equations and z-transform 
• Discrete-time state space models, sampled data systems, poles and zeros 
• Frequency response of sampled data systems, choice of sampling rate 

System identification and model order reduction 
• Least squares estimation, ARX models, persistent excitation 
• Identification of state space models, subspace identification 
• Balanced realization and model order reduction 

Case study
• Modelling and multivariable control of a process evaporator using Matlab and Simulink 
Software tools
• Matlab/Simulink

Literature
  • Werner, H., Lecture Notes „Control Systems Theory and Design“
  • T. Kailath "Linear Systems", Prentice Hall, 1980
  • K.J. Astrom, B. Wittenmark "Computer Controlled Systems" Prentice Hall, 1997
  • L. Ljung "System Identification - Theory for the User", Prentice Hall, 1999
Course L0657: Control Systems Theory and Design
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Herbert Werner
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1150: Continuum Mechanics

Courses
Title Typ Hrs/wk CP
Continuum Mechanics (L1533) Lecture 2 3
Continuum Mechanics Exercise (L1534) Recitation Section (small) 2 3
Module Responsible Prof. Swantje Bargmann
Admission Requirements None
Recommended Previous Knowledge

Mechanics I

Mechanics II

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge


The students can explain the fundamental concepts to calculate the mechanical behavior of materials.


Skills

The students can set up balance laws and apply basics of deformation theory to specific aspects, both in applied contexts as in research contexts.

Personal Competence
Social Competence

The students are able to present solutions to specialists and to develop ideas further.

Autonomy

The students are able to assess their own strengths and weaknesses and to define tasks themselves. They can solve exercises in the area of continuum mechanics on their own.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory
Materials Science: Specialisation Modelling: Elective Compulsory
Mechatronics: Technical Complementary Course: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Product Development, Materials and Production: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core qualification: Elective Compulsory
Course L1533: Continuum Mechanics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Swantje Bargmann, Dr. Benjamin Klusemann
Language DE/EN
Cycle WiSe
Content
  • kinematics of undeformed and deformed bodies
  • balance equations (balance of mass, balance of energy, …)
  • stress states
  • material modelling


Literature

R. Greve: Kontinuumsmechanik: Ein Grundkurs für Ingenieure und Physiker

I-S. Liu: Continuum Mechanics, Springer


Course L1534: Continuum Mechanics Exercise
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Swantje Bargmann
Language DE/EN
Cycle WiSe
Content
  • kinematics of undeformed and deformed bodies
  • balance equations (balance of mass, balance of energy, …)
  • stress states
  • material modelling


Literature

R. Greve: Kontinuumsmechanik: Ein Grundkurs für Ingenieure und Physiker

I-S. Liu: Continuum Mechanics, Springer


Module M1204: Modelling and Optimization in Dynamics

Courses
Title Typ Hrs/wk CP
Flexible Multibody Systems (L1632) Lecture 2 3
Optimization of dynamical systems (L1633) Lecture 2 3
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge Simulation of dynamical Systems
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students demonstrate basic knowledge and understanding of modeling, simulation and analysis of complex rigid and flexible multibody systems and methods for optimizing dynamic systems after successful completion of the module.

Skills

Students are able

+ to think holistically

+ to independently, securly and critically analyze and optimize basic problems of the dynamics of rigid and flexible multibody systems

+ to describe dynamics problems mathematically

+ to optimize dynamics problems

Personal Competence
Social Competence

Students are able to

+ solve problems in heterogeneous groups and to document the corresponding results.


Autonomy

Students are able to

+ assess their knowledge by means of exercises.

+ acquaint themselves with the necessary knowledge to solve research oriented tasks.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Energy Systems: Core qualification: Elective Compulsory
Aircraft Systems Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Theoretical Mechanical Engineering: Core qualification: Elective Compulsory
Course L1632: Flexible Multibody Systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Robert Seifried
Language DE
Cycle WiSe
Content
  1. Basics of Multibody Systems
  2. Basics of Continuum Mechanics
  3. Linear finite element modelles and modell reduction
  4. Nonlinear finite element Modelles: absolute nodal coordinate formulation
  5. Kinematics of an elastic body 
  6. Kinetics of an elastic body
  7. System assembly
Literature

Schwertassek, R. und Wallrapp, O.: Dynamik flexibler Mehrkörpersysteme. Braunschweig, Vieweg, 1999.

Seifried, R.: Dynamics of Underactuated Multibody Systems, Springer, 2014.

Shabana, A.A.: Dynamics of Multibody Systems. Cambridge Univ. Press, Cambridge, 2004, 3. Auflage.


Course L1633: Optimization of dynamical systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Robert Seifried
Language DE
Cycle WiSe
Content
  1. Formulation and classification of optimization problems 
  2. Scalar Optimization
  3. Sensitivity Analysis
  4. Unconstrained Parameter Optimization
  5. Constrained Parameter Optimization
  6. Stochastic optimization
  7. Multicriteria Optimization
  8. Topology Optimization


Literature

Bestle, D.: Analyse und Optimierung von Mehrkörpersystemen. Springer, Berlin, 1994.

Nocedal, J. , Wright , S.J. : Numerical Optimization. New York: Springer, 2006.


Module M0604: High-Order FEM

Courses
Title Typ Hrs/wk CP
High-Order FEM (L0280) Lecture 3 4
High-Order FEM (L0281) Recitation Section (large) 1 2
Module Responsible Prof. Alexander Düster
Admission Requirements

None

Recommended Previous Knowledge

Differential Equations 2 (Partial Differential Equations)

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to
+ give an overview of the different (h, p, hp) finite element procedures.
+ explain high-order finite element procedures.
+ specify problems of finite element procedures, to identify them in a given situation and to explain their mathematical and mechanical background.

Skills

Students are able to
+ apply high-order finite elements to problems of structural mechanics.
+ select for a given problem of structural mechanics a suitable finite element procedure.
+ critically judge results of high-order finite elements.
+ transfer their knowledge of high-order finite elements to new problems.

Personal Competence
Social Competence

Students are able to
+ solve problems in heterogeneous groups and to document the corresponding results.

Autonomy

Students are able to
+ assess their knowledge by means of exercises and E-Learning.
+ acquaint themselves with the necessary knowledge to solve research oriented tasks.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula Energy Systems: Core qualification: Elective Compulsory
Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory
International Production Management: Specialisation Production Technology: Elective Compulsory
Materials Science: Specialisation Modelling: Elective Compulsory
Mechatronics: Technical Complementary Course: Elective Compulsory
Product Development, Materials and Production: Core qualification: Elective Compulsory
Naval Architecture and Ocean Engineering: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core qualification: Elective Compulsory
Course L0280: High-Order FEM
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Alexander Düster
Language EN
Cycle SoSe
Content

1. Introduction
2. Motivation
3. Hierarchic shape functions
4. Mapping functions
5. Computation of element matrices, assembly, constraint enforcement and solution
6. Convergence characteristics
7. Mechanical models and finite elements for thin-walled structures
8. Computation of thin-walled structures
9. Error estimation and hp-adaptivity
10. High-order fictitious domain methods


Literature

[1] Alexander Düster, High-Order FEM, Lecture Notes, Technische Universität Hamburg-Harburg, 164 pages, 2014
[2] Barna Szabo, Ivo Babuska, Introduction to Finite Element Analysis – Formulation, Verification and Validation, John Wiley & Sons, 2011


Course L0281: High-Order FEM
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Alexander Düster
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0605: Computational Structural Dynamics

Courses
Title Typ Hrs/wk CP
Computational Structural Dynamics (L0282) Lecture 3 4
Computational Structural Dynamics (L0283) Recitation Section (small) 1 2
Module Responsible Prof. Alexander Düster
Admission Requirements

None

Recommended Previous Knowledge

Differential Equations 2 (Partial Differential Equations)

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to
+ give an overview of the computational procedures for problems of structural dynamics.
+ explain the application of finite element programs to solve problems of structural dynamics.
+ specify problems of computational structural dynamics, to identify them in a given situation and to explain their mathematical and mechanical background.

Skills

Students are able to
+ model problems of structural dynamics.
+ select a suitable solution procedure for a given problem of structural dynamics.
+ apply computational procedures to solve problems of structural dynamics.
+ verify and critically judge results of computational structural dynamics.

Personal Competence
Social Competence

Students are able to
+ solve problems in heterogeneous groups and to document the corresponding results.

Autonomy

Students are able to
+ assess their knowledge by means of exercises and E-Learning.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 2h
Assignment for the Following Curricula International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
Materials Science: Specialisation Modelling: Elective Compulsory
Mechatronics: Technical Complementary Course: Elective Compulsory
Naval Architecture and Ocean Engineering: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core qualification: Elective Compulsory
Course L0282: Computational Structural Dynamics
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Alexander Düster
Language DE
Cycle SoSe
Content

1. Motivation
2. Basics of dynamics
3. Time integration methods
4. Modal analysis
5. Fourier transform
6. Applications

Literature

[1] K.-J. Bathe, Finite-Elemente-Methoden, Springer, 2002.
[2] J.L. Humar, Dynamics of Structures, Taylor & Francis, 2012.

Course L0283: Computational Structural Dynamics
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Alexander Düster
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0714: Numerical Treatment of Ordinary Differential Equations

Courses
Title Typ Hrs/wk CP
Numerical Treatment of Ordinary Partial Differential Equations (L0576) Lecture 2 3
Numerical Treatment of Ordinary Partial Differential Equations (L0582) Recitation Section (small) 2 3
Module Responsible Prof. Blanca Ayuso Dios
Admission Requirements None
Recommended Previous Knowledge
  • Lecture material of prerequisite lectures
  • basic MATLAB knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • list numerical methods for the solution of ordinary differential equations and explain their core ideas,
  • repeat convergence statements for the treated numerical methods (including the prerequisites tied to the underlying problem),
  • explain aspects regarding the practical execution of a method.
Skills

Students are able to

  • implement (MATLAB), apply and compare numerical methods for the solution of ordinary differential equations,
  • to justify the convergence behaviour of numerical methods with respect to the posed problem and selected algorithm,
  • for a given problem, develop a suitable solution approach, if necessary by the composition of several algorithms, to execute this approach and to critically evaluate the results.


Personal Competence
Social Competence

Students are able to

  • work together in heterogeneously composed teams (i.e., teams from different study programs and background knowledge), explain theoretical foundations and support each other with practical aspects regarding the implementation of algorithms.
Autonomy

Students are capable

  • to assess whether the supporting theoretical and practical excercises are better solved individually or in a team,
  • to assess their individual progess and, if necessary, to ask questions and seek help.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale
Assignment for the Following Curricula Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation General Process Engineering: Elective Compulsory
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory
Energy Systems: Core qualification: Elective Compulsory
Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Technomathematics: Specialisation Mathematics: Elective Compulsory
Theoretical Mechanical Engineering: Core qualification: Compulsory
Process Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Process Engineering: Specialisation Process Engineering : Elective Compulsory
Course L0576: Numerical Treatment of Ordinary Partial Differential Equations
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Blanca Ayuso Dios
Language DE/EN
Cycle SoSe
Content

Numerical methods for Initial Value Problems

  • single step methods
  • multistep methods
  • stiff problems
  • differential algebraic equations (DAE) of index 1

Numerical methods for Boundary Value Problems

  • initial value methods
  • multiple shooting method
  • difference methods
  • variational methods


Literature
  • E. Hairer, S. Noersett, G. Wanner: Solving Ordinary Differential Equations I: Nonstiff Problems
  • E. Hairer, G. Wanner: Solving Ordinary Differential Equations II: Stiff and Differential-Algebraic Problems
Course L0582: Numerical Treatment of Ordinary Partial Differential Equations
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Blanca Ayuso Dios
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0752: Nonlinear Dynamics

Courses
Title Typ Hrs/wk CP
Nonlinear Dynamics (L0702) Lecture 3 6
Module Responsible Prof. Norbert Hoffmann
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students are able to reflect existing terms and concepts in Nonlinear Dynamics and to develop and research new terms and concepts.
Skills Students are able to apply existing methods and procesures of Nonlinear Dynamics and to develop novel methods and procedures.
Personal Competence
Social Competence Students can reach working results also in groups.
Autonomy Students are able to approach given research tasks individually and to identify and follow up novel research tasks by themselves.
Workload in Hours Independent Study Time 138, Study Time in Lecture 42
Credit points 6
Examination Written exam
Examination duration and scale 2 Hours
Assignment for the Following Curricula Aircraft Systems Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Theoretical Mechanical Engineering: Core qualification: Elective Compulsory
Course L0702: Nonlinear Dynamics
Typ Lecture
Hrs/wk 3
CP 6
Workload in Hours Independent Study Time 138, Study Time in Lecture 42
Lecturer Prof. Norbert Hoffmann
Language EN
Cycle SoSe
Content Fundamentals of Nonlinear Dynamics.
Literature S. Strogatz: Applied Nonlinear Dynamics

Module M0807: Boundary Element Methods

Courses
Title Typ Hrs/wk CP
Boundary Element Methods (L0523) Lecture 2 3
Boundary Element Methods (L0524) Recitation Section (large) 2 3
Module Responsible Prof. Otto von Estorff
Admission Requirements none
Recommended Previous Knowledge

Mechanics I (Statics, Mechanics of Materials) and Mechanics II (Hydrostatics, Kinematics, Dynamics)
Mathematics I, II, III (in particular differential equations)

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students possess an in-depth knowledge regarding the derivation of the boundary element method and are able to give an overview of the theoretical and methodical basis of the method.



Skills

The students are capable to handle engineering problems by formulating suitable boundary elements, assembling the corresponding system matrices, and solving the resulting system of equations.



Personal Competence
Social Competence -
Autonomy

The students are able to independently solve challenging computational problems and develop own boundary element routines. Problems can be identified and the results are critically scrutinized.



Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale
Assignment for the Following Curricula Civil Engineering: Specialisation Structural Engineering: Elective Compulsory
Civil Engineering: Specialisation Geotechnical Engineering: Elective Compulsory
Civil Engineering: Specialisation Coastal Engineering: Elective Compulsory
Energy Systems: Core qualification: Elective Compulsory
International Production Management: Specialisation Production Technology: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Product Development, Materials and Production: Core qualification: Elective Compulsory
Technomathematics: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core qualification: Elective Compulsory
Course L0523: Boundary Element Methods
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Otto von Estorff
Language EN
Cycle SoSe
Content

- Boundary value problems
- Integral equations
- Fundamental Solutions
- Element formulations
- Numerical integration
- Solving systems of equations (statics, dynamics)
- Special BEM formulations
- Coupling of FEM and BEM

- Hands-on Sessions (programming of BE routines)
- Applications

Literature

Gaul, L.; Fiedler, Ch. (1997): Methode der Randelemente in Statik und Dynamik. Vieweg, Braunschweig, Wiesbaden
Bathe, K.-J. (2000): Finite-Elemente-Methoden. Springer Verlag, Berlin

Course L0524: Boundary Element Methods
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Otto von Estorff
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0835: Humanoid Robotic

Courses
Title Typ Hrs/wk CP
Humanoid Robotics (L0663) Seminar 2 2
Module Responsible Prof. Herbert Werner
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can explain the basic theory, relationships and methods of forward kinematics for humanoid robots
  • They can give an overview of conditions for static and dynamic stability, and explain the model for dynamic stability and technical terms
Skills
  • Students can implement models for static and dynamic stability in Matlab and C++, and use these models for robot motion
  • They are capable of writing C++ functions for Matlab and thus use Matlab for simulation, while testing the identical C++ code on the real robot system
  • They are capable of selecting methods for solving abstract problems, for which no standard methods are available, and apply it succesfully
Personal Competence
Social Competence Students can develop joint solutions in mixed teams and present these. They can provide appropriate feedback to others, and  constructively handle feedback on their own results
Autonomy Students are able to obtain required information from provided literature sources, and to put in into the context of the seminar. They can independently define tasks and apply the appropriate means to solve them.
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Credit points 2
Examination Presentation
Examination duration and scale 30 min
Assignment for the Following Curricula Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Theoretical Mechanical Engineering: Core qualification: Elective Compulsory
Course L0663: Humanoid Robotics
Typ Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Herbert Werner
Language DE
Cycle SoSe
Content
  • Fundamentals of kinematics
  • Static and dynamic stability of humanoid robotic systems
  • Combination of different software environments (Matlab, C++, Webots)
  • Introduction to the TUHH software framework for humanoid robots
  • Team project
  • Presentation and Demonstration of intermediate and final results
Literature

- B. Siciliano, O. Khatib. "Handbook of Robotics. Part A: Robotics Foundations",

Springer (2008).

- D. Gouaillier, V. Hugel, P. Blazevic. "The NAO humanoid: a combination of performance

and affordability. " Computing Research Repository (2008)

- Data sheet: "NAO H25 (V3.3) ", Aldebaran Robotics (http://www.aldebaran-robotics.com)

Module M0840: Optimal and Robust Control

Courses
Title Typ Hrs/wk CP
Optimal and Robust Control (L0658) Lecture 2 3
Optimal and Robust Control (L0659) Recitation Section (small) 1 1
Module Responsible Prof. Herbert Werner
Admission Requirements

Control Systems Theory and Design

Recommended Previous Knowledge
  • Classical control (frequency response, root locus)
  • State space methods
  • Linear algebra, singular value decomposition
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can explain the significance of the matrix Riccati equation for the solution of LQ problems.
  • They can explain the duality between optimal state feedback and optimal state estimation.
  • They can explain how the H2 and H-infinity norms are used to represent stability and performance constraints.
  • They can explain how an LQG design problem can be formulated as special case of an H2 design problem.
  • They  can explain how model uncertainty can be represented in a way that lends itself to robust controller design
  • They can explain how - based on the small gain theorem - a robust controller can guarantee stability and performance for an uncertain plant.
  • They understand how analysis and synthesis conditions on feedback loops can be represented as linear matrix inequalities.
Skills
  • Students are capable of designing and tuning LQG controllers for multivariable plant models.
  • They are capable of representing a H2 or H-infinity design problem in the form of a generalized plant, and of using standard software tools for solving it.
  • They are capable of translating time and frequency domain specifications for control loops into constraints on closed-loop sensitivity functions, and of carrying out a mixed-sensitivity design.
  • They are capable of constructing an LFT uncertainty model for an uncertain system, and of designing a mixed-objective robust controller.
  • They are capable of formulating analysis and synthesis conditions as linear matrix inequalities (LMI), and of using standard LMI-solvers for solving them.
  • They can carry out all of the above using standard software tools (Matlab robust control toolbox).
Personal Competence
Social Competence Students can work in small groups on specific problems to arrive at joint solutions. 
Autonomy

Students are able to find required information in sources provided (lecture notes, literature, software documentation) and use it to solve given problems. 


Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Credit points 4
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Theoretical Mechanical Engineering: Core qualification: Elective Compulsory
Course L0658: Optimal and Robust Control
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Herbert Werner
Language EN
Cycle SoSe
Content
  • Optimal regulator problem with finite time horizon, Riccati differential equation
  • Time-varying and steady state solutions, algebraic Riccati equation, Hamiltonian system
  • Kalman’s identity, phase margin of LQR controllers, spectral factorization
  • Optimal state estimation, Kalman filter, LQG control
  • Generalized plant, review of LQG control
  • Signal and system norms, computing H2 and H∞ norms
  • Singular value plots, input and output directions
  • Mixed sensitivity design, H∞ loop shaping, choice of weighting filters
  • Case study: design example flight control
  • Linear matrix inequalities, design specifications as LMI constraints (H2, H∞ and pole region)
  • Controller synthesis by solving LMI problems, multi-objective design
  • Robust control of uncertain systems, small gain theorem, representation of parameter uncertainty
Literature
  • Werner, H., Lecture Notes: "Optimale und Robuste Regelung"
  • Boyd, S., L. El Ghaoui, E. Feron and V. Balakrishnan "Linear Matrix Inequalities in Systems and Control", SIAM, Philadelphia, PA, 1994
  • Skogestad, S. and I. Postlewhaite "Multivariable Feedback Control", John Wiley, Chichester, England, 1996
  • Strang, G. "Linear Algebra and its Applications", Harcourt Brace Jovanovic, Orlando, FA, 1988
  • Zhou, K. and J. Doyle "Essentials of Robust Control", Prentice Hall International, Upper Saddle River, NJ, 1998
Course L0659: Optimal and Robust Control
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Herbert Werner
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0906: Molecular Modeling and Computational Fluid Dynamics

Courses
Title Typ Hrs/wk CP
Computational Fluid Dynamics - Exercises in OpenFoam (L1375) Recitation Section (small) 1 1
Computational Fluid Dynamics in Process Engineering (L1052) Lecture 2 2
Statistical Thermodynamics and Molecular Modelling (L0099) Lecture 2 3
Module Responsible Prof. Michael Schlüter
Admission Requirements None
Recommended Previous Knowledge
  • Mathematics
  • Basic knowledge in Fluid Mechanics
  • Basic knowledge in chemical thermodynamics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After successful completion of the module the students are able to

  • explain the the basic principles of statistical thermodynamics (ensembles, simple systems) 
  • describe the main approaches in classical Molecular Modeling (Monte Carlo, Molecular Dynamics) in various ensembles
  • discuss examples of computer programs in detail,
  • evaluate the application of numerical simulations,
  • list the possible start and boundary conditions for a numerical simulation.
Skills

The students are able to:

  • set up computer programs for solving simple problems by Monte Carlo or molecular dynamics,
  • solve problems by molecular modeling,
  • set up a numerical grid,
  • perform a simple numerical simulation with OpenFoam,
  • evaluate the result of a numerical simulation.

Personal Competence
Social Competence

The students are able to

  • develop joint solutions in mixed teams and present them in front of the other students,
  • to collaborate in a team and to reflect their own contribution toward it.




Autonomy

The students are able to:

  • evaluate their learning progress and to define the following steps of learning on that basis,
  • evaluate possible consequences for their profession.
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Examination Oral exam
Examination duration and scale 1h examen in teams
Assignment for the Following Curricula Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Bioprocess Engineering: Specialisation B - Industrial Bioprocess Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation General Process Engineering: Elective Compulsory
Energy and Environmental Engineering: Specialisation Energy and Environmental Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Core qualification: Elective Compulsory
Process Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Process Engineering: Specialisation Process Engineering : Elective Compulsory
Course L1375: Computational Fluid Dynamics - Exercises in OpenFoam
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Michael Schlüter
Language EN
Cycle SoSe
Content
  • generation of numerical grids with a common grid generator
  • selection of models and boundary conditions
  • basic numerical simulation with OpenFoam within the TUHH CIP-Pool


Literature OpenFoam Tutorials (StudIP)
Course L1052: Computational Fluid Dynamics in Process Engineering
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Michael Schlüter
Language EN
Cycle SoSe
Content
  • Introduction into partial differential equations
  • Basic equations
  • Boundary conditions and grids
  • Numerical methods
  • Finite difference method
  • Finite volume method
  • Time discretisation and stability
  • Population balance
  • Multiphase Systems
  • Modeling of Turbulent Flows
  • Exercises: Stability Analysis 
  • Exercises: Example on CFD - analytically/numerically 
Literature

Paschedag A.R.: CFD in der Verfahrenstechnik: Allgemeine Grundlagen und mehrphasige Anwendungen, Wiley-VCH, 2004 ISBN 3-527-30994-2.

Ferziger, J.H.; Peric, M.: Numerische Strömungsmechanik. Springer-Verlag, Berlin, 2008, ISBN: 3540675868.

Ferziger, J.H.; Peric, M.: Computational Methods for Fluid Dynamics. Springer, 2002, ISBN 3-540-42074-6


Course L0099: Statistical Thermodynamics and Molecular Modelling
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Sven Jakobtorweihen
Language EN
Cycle SoSe
Content
  • Some lectures will be carried out as computer exercises
  • Introduction to Statistical Mechanics
  • The ensemble concept
  • The classical limit
  • Intermolecular potentials, force fields
  • Monte Carlo simulations (acceptance rules) (Übungen im Rechnerpool) (exercises in computer pool)
  • Molecular Dynamics Simulations (integration of equations of motion, calculating transport properties) (exercises in computer pool)
  • Molecular simulation of Phase equilibria (Gibbs Ensemble)
  • Methods for the calculation of free energies
Literature

Daan Frenkel, Berend Smit: Understanding Molecular Simulation, Academic Press

M. P. Allen, D. J. Tildesley: Computer Simulations of Liquids, Oxford Univ. Press 

A.R. Leach: Molecular Modelling – Principles and Applications, Prentice Hall, N.Y.

D. A. McQuarrie: Statistical Mechanics, University Science Books

T. L. Hill: Statistical Mechanics , Dover Publications 


Module M1203: Applied Dynamics: Numerical and experimental methods

Courses
Title Typ Hrs/wk CP
Lab Applied Dynamics (L1631) Laboratory 2 3
Applied Dynamics (L1630) Lecture 2 3
Module Responsible Prof. Robert Seifried
Admission Requirements

None


Recommended Previous Knowledge Numerical Treatment of Ordinary Differential Equations
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can represent the most important methods of dynamics after successful completion of the module Technical dynamics and have a good understanding of the main concepts in the technical dynamics.

Skills

Students are able

+ to think holistically

+ to independently, securly and critically analyze and optimize basic problems of the dynamics of rigid and flexible multibody systems

+ to describe dynamics problems mathematically

+ to investigate dynamics problems both experimentally and numerically

Personal Competence
Social Competence

Students are able to

+ solve problems in heterogeneous groups and to document the corresponding results.


Autonomy

Students are able to

+ assess their knowledge by means of exercises and experiments.

+ acquaint themselves with the necessary knowledge to solve research oriented tasks.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Theoretical Mechanical Engineering: Core qualification: Compulsory
Course L1631: Lab Applied Dynamics
Typ Laboratory
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Robert Seifried
Language DE
Cycle SoSe
Content

Practical exercises are performed in groups. The examples are taken from different areas of applied dynamics, such as numerical simulation, experimental validation and experimental vibration analysis.


Literature

Schiehlen, W.; Eberhard, P.: Technische Dynamik, 4. Auflage, Vieweg+Teubner: Wiesbaden, 2014.

Course L1630: Applied Dynamics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Robert Seifried
Language DE
Cycle SoSe
Content
  1. Modelling of Multibody Systems
  2. Basics from kinematics and kinetics
  3. Constraints
  4. Multibody systems in minimal coordinates
  5. State space, linearization and modal analysis
  6. Multibody systems with kinematic constraints
  7. Multibody systems as DAE
  8. Non-holonomic multibody systems
  9. Experimental Methods in Dynamics
Literature

Schiehlen, W.; Eberhard, P.: Technische Dynamik, 4. Auflage, Vieweg+Teubner: Wiesbaden, 2014.

Woernle, C.: Mehrkörpersysteme, Springer: Heidelberg, 2011.

Seifried, R.: Dynamics of Underactuated Multibody Systems, Springer, 2014.

Module M1229: Control Lab B

Courses
Title Typ Hrs/wk CP
Control Lab V (L1667) Laboratory Course 1 1
Control Lab VI (L1668) Laboratory Course 1 1
Module Responsible Prof. Herbert Werner
Admission Requirements


Recommended Previous Knowledge
  • State space methods
  • LQG control
  • H2 and H-infinity optimal control
  • uncertain plant models and robust control
  •  LPV control
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can explain the difference between validation of a control lop in simulation and experimental validation
Skills
  • Students are capable of applying basic system identification tools (Matlab System Identification Toolbox) to identify a dynamic model that can be used for controller synthesis
  • They are capable of using standard software tools (Matlab Control Toolbox) for the design and implementation of LQG controllers
  • They are capable of using standard software tools (Matlab Robust Control Toolbox) for the mixed-sensitivity design and the implementation of H-infinity optimal controllers
  • They are capable of representing model uncertainty, and of designing and implementing a robust controller
  • They are capable of using standard software tools (Matlab Robust Control Toolbox) for the design and the implementation of LPV gain-scheduled controllers
Personal Competence
Social Competence
  • Students can work in teams to conduct experiments and document the results
Autonomy
  • Students can independently carry out simulation studies to design and validate control loops
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Credit points 2
Examination Presentation
Examination duration and scale
Assignment for the Following Curricula Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Theoretical Mechanical Engineering: Core qualification: Elective Compulsory
Course L1667: Control Lab V
Typ Laboratory Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Herbert Werner
Language EN
Cycle WiSe/SoSe
Content One of the offered experiments in control theory.
Literature

Experiment Guides

Course L1668: Control Lab VI
Typ Laboratory Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Herbert Werner
Language EN
Cycle WiSe/SoSe
Content One of the offered experiments in control theory.
Literature

Experiment Guides

Module M0603: Nonlinear Structural Analysis

Courses
Title Typ Hrs/wk CP
Nonlinear Structural Analysis (L0277) Lecture 3 4
Nonlinear Structural Analysis (L0279) Recitation Section (small) 1 2
Module Responsible Prof. Alexander Düster
Admission Requirements

None

Recommended Previous Knowledge

Mathematics I, II, III, Mechanics I, II, III, IV

Differential Equations 2 (Partial Differential Equations)

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to
+ give an overview of the different nonlinear phenomena in structural mechanics.
+ explain the mechanical background of nonlinear phenomena in structural mechanics.
+ to specify problems of nonlinear structural analysis, to identify them in a given situation and to explain their mathematical and mechanical background.

Skills

Students are able to
+ model nonlinear structural problems.
+ select for a given nonlinear structural problem a suitable computational procedure.
+ apply finite element procedures for nonlinear structural analysis.
+ critically verify and judge results of nonlinear finite elements.
+ to transfer their knowledge of nonlinear solution procedures to new problems.

Personal Competence
Social Competence

Students are able to
+ solve problems in heterogeneous groups and to document the corresponding results.
+ share new knowledge with group members.

Autonomy

Students are able to
+ assess their knowledge by means of exercises and E-Learning.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula Civil Engineering: Specialisation Structural Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Civil Engineering: Elective Compulsory
Materials Science: Specialisation Modelling: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Product Development, Materials and Production: Core qualification: Elective Compulsory
Naval Architecture and Ocean Engineering: Core qualification: Elective Compulsory
Ship and Offshore Technology: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L0277: Nonlinear Structural Analysis
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Alexander Düster
Language DE/EN
Cycle WiSe
Content

1. Introduction
2. Nonlinear phenomena
3. Mathematical preliminaries
4. Basic equations of continuum mechanics
5. Spatial discretization with finite elements
6. Solution of nonlinear systems of equations
7. Solution of elastoplastic problems
8. Stability problems
9. Contact problems

Literature

[1] Alexander Düster, Nonlinear Structrual Analysis, Lecture Notes, Technische Universität Hamburg-Harburg, 2014.
[2] Peter Wriggers, Nonlinear Finite Element Methods, Springer 2008.
[3] Peter Wriggers, Nichtlineare Finite-Elemente-Methoden, Springer 2001.
[4] Javier Bonet and Richard D. Wood, Nonlinear Continuum Mechanics for Finite Element Analysis, Cambridge University Press, 2008.

Course L0279: Nonlinear Structural Analysis
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Alexander Düster
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0832: Advanced Topics in Control

Courses
Title Typ Hrs/wk CP
Advanced Topics in Control (L0661) Lecture 2 3
Advanced Topics in Control (L0662) Recitation Section (small) 2 3
Module Responsible Prof. Herbert Werner
Admission Requirements Optimal and Robust Control
Recommended Previous Knowledge H-infinity optimal control, mixed-sensitivity design, linear matrix inequalities 
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can explain the advantages and shortcomings of the classical gain scheduling approach
  • They can explain the representation of nonlinear systems in the form of quasi-LPV systems
  • They can explain how stability and performance conditions for LPV systems can be formulated as LMI conditions
  • They can explain how gridding techniques can be used to solve analysis and synthesis problems for LPV systems
  • They are familiar with polytopic and LFT representations of LPV systems and some of the basic synthesis techniques associated with each of these model structures


  • Students can explain how graph theoretic concepts are used to represent the communication topology of multiagent systems
  • They can explain the convergence properties of  first order consensus protocols
  • They can explain analysis and synthesis conditions for formation control loops involving either LTI or LPV agent models


  • Students can explain the state space representation of spatially invariant distributed systems that are discretized according to an actuator/sensor array
  • They can explain (in outline) the extension of the bounded real lemma to such distributed systems and the associated synthesis conditions for distributed controllers

Skills
  • Students are capable of constructing LPV models of nonlinear plants and carry out a mixed-sensitivity design of gain-scheduled controllers; they can do this using polytopic, LFT or general LPV models 
  • They are able to use standard software tools (Matlab robust control toolbox) for these tasks


  • Students are able to design distributed formation controllers for groups of agents with either LTI or LPV dynamics, using Matlab tools provided


  • Students are able to design distributed controllers for spatially interconnected systems, using the Matlab MD-toolbox
Personal Competence
Social Competence Students can work in small groups and arrive at joint results.
Autonomy

Students are able to find required information in sources provided (lecture notes, literature, software documentation) and use it to solve given problems. 


 
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Computer Science: Specialisation Intelligence Engineering: Elective Compulsory
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory
Aircraft Systems Engineering: Specialisation Aircraft Systems: Elective Compulsory
Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory
International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Theoretical Mechanical Engineering: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L0661: Advanced Topics in Control
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Herbert Werner
Language EN
Cycle WiSe
Content
  • Linear Parameter-Varying (LPV) Gain Scheduling

    - Linearizing gain scheduling, hidden coupling
    - Jacobian linearization vs. quasi-LPV models
    - Stability and induced L2 norm of LPV systems
    - Synthesis of LPV controllers based on the two-sided projection lemma
    - Simplifications: controller synthesis for polytopic and LFT models
    - Experimental identification of LPV models
    - Controller synthesis based on input/output models
    - Applications: LPV torque vectoring for electric vehicles, LPV control of a robotic manipulator
  • Control of Multi-Agent Systems

    - Communication graphs
    - Spectral properties of the graph Laplacian
    - First and second order consensus protocols
    - Formation control, stability and performance
    - LPV models for agents subject to nonholonomic constraints
    - Application: formation control for a team of quadrotor helicopters
  • Control of Spatially Interconnected Systems

    - Multidimensional signals, l2 and L2 signal norm
    - Multidimensional systems in Roesser state space form
    - Extension of real-bounded lemma to spatially interconnected systems
    - LMI-based synthesis of distributed controllers
    - Spatial LPV control of spatially varying systems
    - Applications: control of temperature profiles, vibration damping for an actuated beam
Literature
  • Werner, H., Lecture Notes "Advanced Topics in Control"
  • Selection of relevant research papers made available as pdf documents via StudIP
Course L0662: Advanced Topics in Control
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Herbert Werner
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0939: Control Lab A

Courses
Title Typ Hrs/wk CP
Control Lab I (L1093) Laboratory Course 1 1
Control Lab II (L1291) Laboratory Course 1 1
Control Lab III (L1665) Laboratory Course 1 1
Control Lab IV (L1666) Laboratory Course 1 1
Module Responsible Prof. Herbert Werner
Admission Requirements

Recommended Previous Knowledge
  • State space methods
  • LQG control
  • H2 and H-infinity optimal control
  • uncertain plant models and robust control
  •  LPV control
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can explain the difference between validation of a control lop in simulation and experimental validation

Skills
  • Students are capable of applying basic system identification tools (Matlab System Identification Toolbox) to identify a dynamic model that can be used for controller synthesis
  • They are capable of using standard software tools (Matlab Control Toolbox) for the design and implementation of LQG controllers
  • They are capable of using standard software tools (Matlab Robust Control Toolbox) for the mixed-sensitivity design and the implementation of H-infinity optimal controllers
  • They are capable of representing model uncertainty, and of designing and implementing a robust controller
  • They are capable of using standard software tools (Matlab Robust Control Toolbox) for the design and the implementation of LPV gain-scheduled controllers
Personal Competence
Social Competence
  • Students can work in teams to conduct experiments and document the results
Autonomy
  • Students can independently carry out simulation studies to design and validate control loops
Workload in Hours Independent Study Time 64, Study Time in Lecture 56
Credit points 4
Examination Colloquium
Examination duration and scale
Assignment for the Following Curricula Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Theoretical Mechanical Engineering: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L1093: Control Lab I
Typ Laboratory Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Herbert Werner, Antonio Mendez Gonzalez
Language EN
Cycle WiSe/SoSe
Content One of the offered experiments in control theory.
Literature

Experiment Guides


Course L1291: Control Lab II
Typ Laboratory Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Herbert Werner, Antonio Mendez Gonzalez
Language EN
Cycle WiSe/SoSe
Content One of the offered experiments in control theory.
Literature

Experiment Guides

Course L1665: Control Lab III
Typ Laboratory Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Herbert Werner, Antonio Mendez Gonzalez
Language EN
Cycle WiSe/SoSe
Content One of the offered experiments in control theory.
Literature

Experiment Guides

Course L1666: Control Lab IV
Typ Laboratory Course
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Herbert Werner, Antonio Mendez Gonzalez
Language EN
Cycle WiSe/SoSe
Content One of the offered experiments in control theory.
Literature

Experiment Guides

Module M1181: Research Project Theoretical Mechanical Engineering

Courses
Title Typ Hrs/wk CP
Module Responsible Dozenten des SD M
Admission Requirements None
Recommended Previous Knowledge
  • Finite-element-methods
  • Control systems theory and design
  • Applied dynamics
  • Numerics of ordinary differential equations
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to demonstrate their detailed knowledge in the field of theoretical mechanical engineering. They can exemplify the state of technology and application and discuss critically in the context of actual problems and general conditions of science and society.

The students can develop solving strategies and approaches for fundamental and practical problems in theoretical mechanical engineering. They may apply theory based procedures and integrate safety-related, ecological, ethical, and economic view points of science and society.

Scientific work techniques that are used can be described and critically reviewed.


Skills

The students are able to independently select methods for the project work and to justify this choice. They can explain how these methods relate to the field of work and how the context of application has to be adjusted. General findings and further developments may essentially be outlined.

Personal Competence
Social Competence

The students are able to condense the relevance and the structure of the project work, the work steps and the sub-problems for the presentation and discussion in front of a bigger group. They can lead the discussion and give a feedback on the project to their colleagues.

Autonomy

The students are capable of independently planning and documenting the work steps and procedures while considering the given deadlines. This includes the ability to accurately procure the newest scientific information. Furthermore, they can obtain feedback from experts with regard to the progress of the work, and to accomplish results on the state of the art in science and technology.

Workload in Hours Independent Study Time 360, Study Time in Lecture 0
Credit points 12
Examination Project (accord. to Subject Specific Regulations)
Examination duration and scale
Assignment for the Following Curricula Theoretical Mechanical Engineering: Core qualification: Compulsory

Specialization Bio- and Medical Technology

The specialization „biotechnology and medical technology“ consists of modules for Intelligent Systems, Robotics and Navigation in medicine, supplemented by Endoprostheses and Materials and Regenerative Medicine, and completed by the modules Imaging Systems in medicine and Industrial Image Transformations in electives. Thus, the acquisition of knowledge and skills in engineering specific aspects of biotechnology and medical technology is at the heart of this specialization. In addition, subjects in the Technical Supplement Course for TMBMS (according FSPO) are freely selectable.

Module M0632: Regenerative Medicine

Courses
Title Typ Hrs/wk CP
Practical Course Introduction to Cell Culture (L0350) Laboratory Course 3 3
Regenerative Medicine (L0347) Seminar 3 3
Module Responsible Prof. Ralf Pörtner
Admission Requirements None
Recommended Previous Knowledge -
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After successful completion of the module students will be able to describe the basic methods of regenerative medicine and to explain the use of the tissue cells for different methods of tissue engineering. They are able to give a basic overview of methods for the cultivation of animal and human cells.

Skills

After successful completion of the module students are

  • able to use medical databases for acquirierung and presentation of relevant up-to-date data independently
  • able to present their work results in the form of presentations
  • able to carry out basic cell culture methods and the corresponding analysis independently
Personal Competence
Social Competence

Students are able to work together as a team with 2-4 students to solve given tasks and discuss their results in the plenary and to defend them.



Autonomy


Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Examination Presentation
Examination duration and scale Oral presentation + discussion (30 min)
Assignment for the Following Curricula Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Course L0350: Practical Course Introduction to Cell Culture
Typ Laboratory Course
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Ralf Pörtner
Language DE
Cycle SoSe
Content

Introduction to basic skills for cultivation of mammalian cells


compact practical course

Literature

Lindl, T. und Gstraunthaler, G.: Zell- und Gewebekultur. Von den Grundlagen zur Laborbank. Spektrum Akademischer Verlag; 6. Auflage 2008.

Course L0347: Regenerative Medicine
Typ Seminar
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Ralf Pörtner, Dr. Frank Feyerabend
Language DE/EN
Cycle WiSe
Content

The course deals with the application of biotechnological engineering principles for re-generation of human tissues. The main topics are "tissue engineering" for the generation of "artificial organs" such as cartilage, liver, blood vessel etc., and their applications:

• Introduction (historical development, examples for medical and technical applications, commercial aspets)

• Cell specific fundamentals (cell physiology, biochemistry, metabolism, special requirements for cell cultivation "in vitro")

• Process specific fundamentals (requirements for culture systems, examples for reactor design, mathematical modelling, process and control strategies)

• Examples for applications for clinical applications, drug testing and material testing

The fundamentals will be presented by the lecturers.

The "state of the art" of specific applications will be exploited by the students based on selected papers and presented during the course.

Literature

Regenerative Biology and Medicine (Taschenbuch) von David L. Stocum; Academic Pr Inc; ISBN-10: 0123693713 ,  ISBN-13: 978-0123693716  

Fundamentals of Tissue Engineering and Regenerative Medicine von Ulrich Meyer (Herausgeber), Thomas Meyer (Herausgeber), Jörg Handschel (Herausgeber), Hans Peter Wiesmann (Herausgeber): Springer, Berlin; ISBN-10: 3540777547;  ISBN-13: 978-3540777540

Module M1040: BIO II: Endoprostheses and Materials

Courses
Title Typ Hrs/wk CP
Biomaterials (L0593) Lecture 2 3
Artificial Joint Replacement (L1306) Lecture 2 3
Module Responsible Prof. Michael Morlock
Admission Requirements None
Recommended Previous Knowledge basic knowledge of orthopedic and surgical techniques is recommended
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can describe the materials being used in medical engineering, and their fields of use.

The students can name the diseases which can require the use of replacement joints.

The students can name the different kinds of artificial limbs

Skills The students can explain the advantages and disadvantages of different kinds of biomaterials and endoprotheses.
Personal Competence
Social Competence

The student is able to discuss issues related to endoprothese and their materials with student mates and the teachers.

Autonomy

The student is able to acquire information on his own. He can also judge the information with respect to its credebility.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 90 minutes, questions and drawing of pictures
Assignment for the Following Curricula Materials Science: Specialisation Nano and Hybrid Materials: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Course L0593: Biomaterials
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Michael Morlock
Language EN
Cycle WiSe
Content

Topics to be covered include:

1.    Introduction (Importance, nomenclature, relations)

2.    Biological materials

2.1  Basics (components, testing methods)

2.2  Bone (composition, development, properties, influencing factors)

2.3  Cartilage (composition, development, structure, properties, influencing factors)

2.4  Fluids (blood, synovial fluid)

3     Biological structures

3.1  Menisci of the knee joint

3.2  Intervertebral discs

3.3  Teeth

3.4  Ligaments

3.5  Tendons

3.6  Skin

3.7  Nervs

3.8  Muscles

4.    Replacement materials

4.1  Basics (history, requirements, norms)

4.2  Steel (alloys, properties, reaction of the body)

4.3  Titan (alloys, properties, reaction of the body)

4.4  Ceramics and glas (properties, reaction of the body)

4.5  Plastics (properties of PMMA, HDPE, PET, reaction of the body)

4.6  Natural replacement materials

Knowledge of composition, structure, properties, function and changes/adaptations of biological and technical materials (which are used for replacements in-vivo). Acquisition of basics for theses work in the area of biomechanics.


Literature

Hastings G and Ducheyne P.: Natural and living biomaterials. Boca Raton: CRC Press, 1984.

Williams D.: Definitions in biomaterials. Oxford: Elsevier, 1987.

Hastings G.: Mechanical properties of biomaterials: proceedings held at Keele University, September 1978. New York: Wiley, 1998.

Black J.: Orthopaedic biomaterials in research and practice. New York: Churchill Livingstone, 1988.

Park J.  Biomaterials: an introduction. New York: Plenum Press, 1980.

Wintermantel, E. und Ha, S.-W : Biokompatible Werkstoffe und Bauweisen. Berlin, Springer, 1996.


Course L1306: Artificial Joint Replacement
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Michael Morlock
Language DE
Cycle SoSe
Content

Inhalt (deutsch)

1.  EINLEITUNG (Bedeutung, Ziel, Grundlagen, allg. Geschichte des künstlichen Gelenker-satzes)

2.  FUNKTIONSANALYSE (Der menschliche Gang, die menschliche Arbeit, die sportliche Aktivität)

3.  DAS HÜFTGELENK (Anatomie, Biomechanik, Gelenkersatz Schaftseite und Pfannenseite, Evolution der Implantate)

4.  DAS KNIEGELENK (Anatomie, Biomechanik, Bandersatz, Gelenkersatz femorale, tibiale und patelläre Komponenten)

5.  DER FUß (Anatomie, Biomechanik, Gelen-kersatz, orthopädische Verfahren)

6.  DIE SCHULTER (Anatomie, Biomechanik, Gelenkersatz)

7.  DER ELLBOGEN (Anatomie, Biomechanik, Gelenkersatz)

8.  DIE HAND (Anatomie, Biomechanik, Ge-lenkersatz)

9.  TRIBOLOGIE NATÜRLICHER UND KÜNST-LICHER GELENKE (Korrosion, Reibung, Verschleiß)

Literature

Literatur:

Kapandji, I..: Funktionelle Anatomie der Gelenke (Band 1-4), Enke Verlag, Stuttgart, 1984.

Nigg, B., Herzog, W.: Biomechanics of the musculo-skeletal system, John Wiley&Sons, New York 1994

Nordin, M., Frankel, V.: Basic Biomechanics of the Musculoskeletal System, Lea&Febiger, Philadelphia, 1989.

Czichos, H.: Tribologiehandbuch, Vieweg, Wiesbaden, 2003.

Sobotta und Netter für Anatomie der Gelenke

Module M0630: Robotics and Navigation in Medicine

Courses
Title Typ Hrs/wk CP
Robotics and Navigation in Medicine (L0335) Lecture 2 3
Robotics and Navigation in Medicine (L0338) Project Seminar 2 2
Robotics and Navigation in Medicine (L0336) Recitation Section (small) 1 1
Module Responsible Prof. Alexander Schlaefer
Admission Requirements

None

Recommended Previous Knowledge

principles of math (algebra, analysis/calculus)
programming skills, R/Matlab

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can explain kinematics and tracking systems in clinical contexts and illustrate systems and their components in details. Systems can be evaluated with respect to collision detection and  safety and regulations. Students can assess typical systems regarding design and  limitations.

Skills

The students are able to design and evaluate navigation systems and robotic systems for medical applications.


Personal Competence
Social Competence

The students discuss the results of other groups, provide helpful feedback and can incoorporate feedback into their work.

Autonomy

The students can reflect their knowledge and document the results of their work. They can present the results in an appropriate manner.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula Computer Science: Specialisation Intelligence Engineering: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Computational Science and Engineering: Specialisation Systems Engineering: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Course L0335: Robotics and Navigation in Medicine
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Alexander Schlaefer
Language EN
Cycle SoSe
Content

- kinematics
- calibration
- tracking systems
- navigation and image guidance
- motion compensation
The seminar extends and complements the contents of the lecture with respect to recent research results.


Literature

Spong et al.: Robot Modeling and Control, 2005
Troccaz: Medical Robotics, 2012
Further literature will be given in the lecture.

Course L0338: Robotics and Navigation in Medicine
Typ Project Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Alexander Schlaefer
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0336: Robotics and Navigation in Medicine
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Alexander Schlaefer
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0811: Medical Imaging Systems

Courses
Title Typ Hrs/wk CP
Medical Imaging Systems (L0819) Lecture 4 6
Module Responsible Dr. Michael Grass
Admission Requirements none
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale
Assignment for the Following Curricula Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Biomedical Engineering: Core qualification: Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Course L0819: Medical Imaging Systems
Typ Lecture
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Dr. Michael Grass, Dr. Kay Nehrke
Language DE
Cycle SoSe
Content
Literature

Primary book:

1. P. Suetens, "Fundamentals of Medical Imaging", Cambridge Press

Secondary books:

- A. Webb, "Introduction to Biomedical Imaging", IEEE Press 2003.

- W.R. Hendee and E.R. Ritenour, "Medical Imaging Physics", Wiley-Liss, New York, 2002.

- H. Morneburg (Edt), "Bildgebende Systeme für die medizinische Diagnostik", Erlangen: Siemens Publicis MCD Verlag, 1995.

- O. Dössel, "Bildgebende Verfahren in der Medizin", Springer Verlag Berlin, 2000.

Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 138, Study Time in Lecture 42
Credit points 6
Examination according to Subject Specific Regulations
Examination duration and scale
Assignment for the Following Curricula Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory

Module M0623: Intelligent Systems in Medicine

Courses
Title Typ Hrs/wk CP
Intelligent Systems in Medicine (L0331) Lecture 2 3
Intelligent Systems in Medicine (L0334) Project Seminar 2 2
Intelligent Systems in Medicine (L0333) Recitation Section (small) 1 1
Module Responsible Prof. Alexander Schlaefer
Admission Requirements None
Recommended Previous Knowledge
  • principles of math (algebra, analysis/calculus)
  • principles of stochastics
  • principles of programming, Java/C++ and R/Matlab
  • advanced programming skills
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to analyze and solve clinical treatment planning and decision support problems using methods for search, optimization, and planning. They are able to explain methods for classification and their respective advantages and disadvantages in clinical contexts. The students can compare  different methods for representing medical knowledge. They can evaluate methods in the context of clinical data  and explain challenges due to the clinical nature of the data and its acquisition and due to privacy and safety requirements.

Skills

The students can give reasons for selecting and adapting methods for classification, regression, and prediction. They can assess the methods based on actual patient data and evaluate the implemented methods.

Personal Competence
Social Competence

The students discuss the results of other groups, provide helpful feedback and can incoorporate feedback into their work.

Autonomy

The students can reflect their knowledge and document the results of their work. They can present the results in an appropriate manner.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula Computer Science: Specialisation Intelligence Engineering: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L0331: Intelligent Systems in Medicine
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Alexander Schlaefer
Language EN
Cycle WiSe
Content

- methods for search, optimization,  planning,  classification, regression and prediction in a clinical context
- representation of medical knowledge
- understanding challenges due to clinical and patient related data and data acquisition
The students will work in groups to apply the methods introduced during the lecture using problem based learning.


Literature

Russel & Norvig: Artificial Intelligence: a Modern Approach, 2012
Berner: Clinical Decision Support Systems: Theory and Practice, 2007
Greenes: Clinical Decision Support: The Road Ahead, 2007
Further literature will be given in the lecture


Course L0334: Intelligent Systems in Medicine
Typ Project Seminar
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Alexander Schlaefer
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0333: Intelligent Systems in Medicine
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Alexander Schlaefer
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Specialization Energy Systems

The focus of the specialization „energy technology“ lies on the acquisition of knowledge and skills on an economically and ecologically sensible provision of electricity, heating and coooling on the basis of conventional and renewable energy systems. This is made possible by modules in the areas of fluid mechanics and ocean energy, solar energy, electric energy, heating technology, air conditioners, power plants, steam and Cogeneration and combustion technology electives. In addition, subjects in the Technical Supplement Course for TMBMS (according FSPO) are freely selectable.

Module M0515: Electrical Energy Technology

Courses
Title Typ Hrs/wk CP
Electrical Energy Transmission and Distribution (L0028) Lecture 2 2
Basics of the Electrical Energy Technology (L0026) Lecture 2 2
Grid Integration and Electrical Energy Storage (L0027) Lecture 2 2
Module Responsible Dr. Joachim Gerth
Admission Requirements none
Recommended Previous Knowledge

Fundamentals of Electrical Engineering

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to give an overview of the electric power engineering in the field of renewable energies. They can explain in detail  the possibilities for the integration of renewable energy systems into the existing grid, the electrical storage possibilities and the electric power transmission and distribution, and can take critically a stand on it.

Skills With completion of this module the students are able to apply the acquired skills in applications of the design, integration, development of renewable energy systems and to assess the results.

Personal Competence
Social Competence

The students can participate in specialized and interdisciplinary discussions, advance ideas and represent their own work results in front of others.

Autonomy

Students can independently tap knowledge of the emphasis of the lectures. 

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory
International Management and Engineering: Specialisation II. Energy and Environmental Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Renewable Energy: Elective Compulsory
Renewable Energies: Core qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Course L0028: Electrical Energy Transmission and Distribution
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Trung Do Thanh
Language DE
Cycle WiSe
Content
  • Fundamentals of Power Transmission and Distribution
  • Resources and innovative technologies of power supply
  • Fundamentals of network planning and operational management
  • Smart Grid / Smart Energy
  • High Voltage Engineering
Literature

Heuck, F. K.; Dettmann, K.D.; Schulz, D.: Elektrische Energieversorgung. 8. Auflage. Wiesbaden: Vieweg + Teubner Verlag 2010


Course L0026: Basics of the Electrical Energy Technology
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Hauke Langkowski
Language DE
Cycle WiSe
Content
  • Construction of three-phase systems 
  • Power in three-phase networks 
  • Structure and function of coal power plants 
  • Line regulation: Primary and secondary control 
  • Gas-fired power plants, nuclear power plants and hydro power plants 
  • Structure and function of synchronous generators 
  • Construction of transformers 
  • Structure and equivalent circuit of cables and overhead lines 
  • Three-phase short-circuit 
  • Design of of networks in normal operation 
  • Load flow calculation 
  • Replacement power supply methods 
  • Residual voltage methods 
  • Thermal and mechanical effects during short-circuit 
  • Symmetrical components - asymmetric error 
  • Earthing and protection in power systems 
  • Operation of networks and compensation
Literature
  • Heuck, K.; Dettmann, K.-D.; Schulz, D.: „Elektrische Energieversorgung“. Vieweg Verlag, 8. Auflage, Wiesbaden, 2010
  • Oeding, D.; Oswald, B. R.: „Elektrische Kraftwerke und Netze”. Springer Verlag, 7. Auflage, Berlin, 2011
  • Hosemann, G.: „Elektrische Energietechnik, Band 3: Netze“. Springer Verlag, 30. Auflage, Berlin, 2001


Course L0027: Grid Integration and Electrical Energy Storage
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Johannes Brombach
Language DE
Cycle WiSe
Content
  •  Grid integration of renewable feeder
  • Effects of enhanced regenerative feed on the energy supply networks
  • Memory requirements in a high proportion of renewable generation 
  • Renewable electricity generation technologies 
  • Electrical energy storage technologies 
  • Alternatives to electrical energy storage (producer and consumer flexibility)
Literature
  • Heuck, F. K.; Dettmann, K.D.; Schulz, D.: Elektrische Energieversorgung. 8. Auflage. Wiesbaden: Vieweg + Teubner Verlag 2010
  • Schulz, D.: Integration von Windkraftanlagen in Energieversorgungsnetze – Stand der Technik und Perspektiven für die dezentrale Stromerzeugung. Habilitationsschrift, Technische Universität Berlin: 2006
  • Popp, M.:Speicherbedarf bei einer Stromversorgung mit erneuerbaren Energien. Berlin, Heidelberg: Springer 2010
  • VDE-Studie: Energiespeicher für die Energiewende. Frankfurt am Main: VDE (ETG) 2012
  • VDE-Studie: Energiespeicher in Stromversorgungssystemen mit hohem Anteil erneuerbarer Energieträger. Frankfurt am Main: VDE (ETG) 2008
  • Droste-Franke, B.; Paal, B. P.; Rehtanz, C.; Sauer, D. U.; Schneider, J.-P.; Schreurs, M.; Ziesemer, T.: Balancing Renewable Electricity - Energy Storage, Demand Side Management, and Network Extension from an Interdisciplinary Perspective. Heidelberg, Dordrecht, London, New York: Springer 2012

Module M1037: Nuclear Power Plants and Steam Turbines

Courses
Title Typ Hrs/wk CP
Steam Turbines in Renewable and Conventional Applications (L1286) Lecture 2 2
Steam Turbines in Renewable and Conνentional Applications (L1287) Recitation Section (small) 1 1
Basics of Nuclear Power Plants (L1283) Lecture 2 2
Basics of Nuclear Power Plants (L1285) Recitation Section (small) 1 1
Module Responsible Prof. Alfons Kather
Admission Requirements None


Recommended Previous Knowledge

For the part "Steam Turbines":

  • "Gas and Steam Power Plants"
  • "Technical Thermodynamics I & II"

For the part "Basics of Nuclear Power Plants" knowledge of:

  • Thermodynamics
  • Fluid Mechanics
  • Gas-Steam Power Plants

is required


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After successful completion of the part "Steam Turbines" of the module the students must be in a position to:

  • name and identify the various constructive sections and groups of steam turbines
  • describe and explain the key operating conditions for the application of steam turbines
  • classify different construction types and differentiate among steam turbines according to size and operating ranges
  • describe the thermodynamic processes and the constructive and operational repercussions resulting from the latter
  • calculate thermodynamically a turbine stage and a stage grouping
  • calculate or estimate and evaluate further sections of the turbine
  • outline diagramms describing the operating range and the constructive characteristics
  • investigate the constructive aspects and develop from the thermodynamic requirements the required construction characteristics
  • discuss and argue on the operation characteristics of different turbine types
  • evaluate thermodynamically the integration of different turbine designs in heat cycles

In the part of the module "Basics of Nuclear Power Plants" the students gain an overview of the safety requirements for the design, construction and operation of nuclear power plants.

Students of various study programmes, who wish to specialize in the filed of nuclear power engineering in future, are introduced to the special requirements of the nuclear power technology, which are important for the perception of this field.

After successful completion of this part of the module the students acquire the following skills:

  • Know the fundamental physical processes for the energetic use of nuclear energy, which extends up to using nuclear fission in a regulated reactor
  • Know the physical and technical features of different reactor types
  • Know the construction of a nuclear plant for electricity generation
  • Understand and elucidate the heat generation in the fuel rods and the heat transfer to the cooling medium of the nuclear reactor (reactor thermodynamics)
  • Understand and explain the concepts for regulating water cooled reactors
  • Comprehend the concepts behind the safety systems that safeguard the necessary reliability and the fundamental constructive features of existing and new nuclear power plants
  • Understand the basic technical safety requirements on component integrity and their verification under long-term operation
Skills

In the part of the module "Steam Turbines" the students learn the fundamental approaches and methods for the design and operational evaluation von komplex plant and gain confidence in seeking optimisations.

In the part of the module "Basics of Nuclear Power Plants" the students:

  • obtain the ability to estimate the potential of nuclear power generation from an economical and technical standpoint in comparison to fossil plants
  • can evaluate the performance and technical limitations in using nuclear power plants for supplying the electric grid both with base-load electricity and regulating energy
  • can judge the hazards from radioactive radiation and the behaviour of radioactive elements based on the tables of nuclides
  • can evaluate the effectiveness of safety systems against various failure events being considered
  • from knowledge obtained on the impact of power plant operation on compoment integrity can identify the requirements aiming at failure prevention
  • can define the fundamental repercussions for design and management of nuclear power plants on the basis of the overlaying requirements of the technical nuclear Regulations


Personal Competence
Social Competence

In the part of the module "Steam Turbines" the students learn:

  • to work together with others whilst seeking a solution
  • to assist each other in problem solving.

In the part of the module "Basics of Nuclear Power Plants" the students learn to:

  • participate in discussions
  • present results
  • work together in a team
Autonomy

In the part of the module "Steam Turbines" the students learn the independent working of a complex thema whilst considering various aspects. They also learn how to carry independently single functions in a system combination.

In the part of the module "Basics of Nuclear Power Plants" the students become the ability to gain independently knowledge and transfer it also to new problem solving.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula Energy and Environmental Engineering: Specialisation Energy and Environmental Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Energy and Environmental Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Course L1286: Steam Turbines in Renewable and Conventional Applications
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Christian Scharfetter
Language DE
Cycle WiSe
Content
  • Introduction
  • Construction Aspects of a Steam Turbine 
  • Energy Conversion in a Steam Turbine  
  • Construction Types of Steam Turbines 
  • Behaviour of Steam Turbines 
  • Sealing Systems for Steam Turbines 
  • Axial Thrust 
  • Regulation of Steam Turbines 
  • Stiffness Calculation of the Blades
  • Blade and Rotor Oscillations 
  • Fundamentals of a Safe Steam Turbine Operation
  • Application in Conventional and Renewable Power Stations
Literature
  • Traupel, W.: Thermische Turbomaschinen. Berlin u. a., Springer (TUB HH: Signatur MSI-105) 
  • Menny, K.: Strömungsmaschinen: hydraulische und thermische Kraft- und Arbeitsmaschinen. Ausgabe: 5. Wiesbaden, Teubner, 2006 (TUB HH: Signatur MSI-121)
  • Bohl, W.: Aufbau und Wirkungsweise. Ausgabe 6. Würzburg, Vogel, 1994 (TUB HH: Signatur MSI-109)
  • Bohl, W.: Berechnung und Konstruktion. Ausgabe 6. Aufl. Würzburg, Vogel, 1999 (TUB HH: Signatur MSI-110)


Course L1287: Steam Turbines in Renewable and Conνentional Applications
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dr. Christian Scharfetter
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1283: Basics of Nuclear Power Plants
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Uwe Kleen
Language DE
Cycle WiSe
Content
  • Fundamentals of nuclear physics:
    1. Radioactive decay, half-life
    2. Release of energy from nuclear reactions
    3. Nuclear fission
    4. Neutron balance
    5. Reactor balancing
  • Types of reactors
  • Radioactivity and radiation protection
  • Nuclear fuel cycle and final disposal
  • Reactor dynamics, regulation behaviour of reactors
  • Reactor thermodynamics of water cooled reactors
  • Nuclear technical Regulations, safety technical requirements
  • Safety technical design, safety systems for water cooled reactors
  • Component integrity
  • Operation and maintenance
  • Novel and future reactor types

The lecture is supplemented by solving example exercises and is accompanied by an excursion.



Literature
  • Fassbender, Einführung in die Reaktorphysik, Verlag Karl Thiemig, München
  • Ziegler, Lehrbuch der Reaktortechnik, Springer Verlag Berlin
  • Lamarsh, Introduction to Nuclear Engineering, Prentice Hall
Course L1285: Basics of Nuclear Power Plants
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dr. Uwe Kleen
Language DE
Cycle WiSe
Content
  • Fundamentals of nuclear physics:
    1. Radioactive decay, half-life
    2. Release of energy from nuclear reactions
    3. Nuclear fission
    4. Neutron balance
    5. Reactor balancing
  • Types of reactors
  • Radioactivity and radiation protection
  • Nuclear fuel cycle and final disposal
  • Reactor dynamics, regulation behaviour of reactors
  • Reactor thermodynamics of water cooled reactors
  • Nuclear technical Regulations, safety technical requirements
  • Safety technical design, safety systems for water cooled reactors
  • Component integrity
  • Operation and maintenance
  • Novel and future reactor types

The lecture is supplemented by solving example exercises and is accompanied by an excursion.



Literature
  • Fassbender, Einführung in die Reaktorphysik, Verlag Karl Thiemig, München
  • Ziegler, Lehrbuch der Reaktortechnik, Springer Verlag Berlin
  • Lamarsh, Introduction to Nuclear Engineering, Prentice Hall

Module M0742: Thermal Engineering

Courses
Title Typ Hrs/wk CP
Thermal Engineering (L0023) Lecture 3 5
Thermal Engineering (L0024) Recitation Section (large) 1 1
Module Responsible Prof. Gerhard Schmitz
Admission Requirements none
Recommended Previous Knowledge Technical Thermodynamics I, II, Fluid Dynamics, Heat Transfer
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students know the different energy conversion stages and the difference between efficiency and annual efficiency. They have increased knowledge in heat and mass transfer, especially in regard to buildings and mobile applications. They are familiar with German energy saving code and other technical relevant rules. They know to differ different heating systems in the domestic and industrial area and how to control such heating systems. They are able to model a furnace and to calculate the transient temperatures in a furnace. They have the basic knowledge of emission formations in the flames of small burners  and how to conduct the flue gases into the atmosphere. They are able to model thermodynamic systems with object oriented languages.


Skills

Students are able to calculate the heating demand for different heating systems and to choose the suitable components. They are able to calculate a pipeline network and have the ability to perform simple planning tasks, regarding solar energy. They can write Modelica programs and can transfer research knowledge into practice. They are able to perform scientific work in the field of thermal engineering.


Personal Competence
Social Competence

The students are able to discuss in small groups and develop an approach.

Autonomy

Students are able to define independently tasks, to get new knowledge from existing knowledge as well as to find ways to use the knowledge in practice.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 60 min
Assignment for the Following Curricula Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Energy and Environmental Engineering: Specialisation Energy Engineering: Elective Compulsory
Energy Systems: Specialisation Energy Systems: Compulsory
Energy Systems: Specialisation Marine Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Energy and Environmental Engineering: Elective Compulsory
Product Development, Materials and Production: Core qualification: Elective Compulsory
Renewable Energies: Core qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Process Engineering: Specialisation Process Engineering : Elective Compulsory
Course L0023: Thermal Engineering
Typ Lecture
Hrs/wk 3
CP 5
Workload in Hours Independent Study Time 108, Study Time in Lecture 42
Lecturer Prof. Gerhard Schmitz
Language DE
Cycle WiSe
Content

1. Introduction

2. Fundamentals of Thermal Engineering 2.1 Heat Conduction 2.2 Convection 2.3 Radiation 2.4 Heat transition 2.5 Combustion parameters 2.6 Electrical heating 2.7 Water vapor transport

3. Heating Systems 3.1 Warm water heating systems 3.2 Warm water supply 3.3 piping calculation 3.4 boilers, heat pumps, solar collectors 3.5 Air heating systems 3.6 radiative heating systems

4. Thermal traetment systems 4.1 Industrial furnaces 4.2 Melting furnaces 4.3 Drying plants 4.4 Emission control 4.5 Chimney calculation 4.6 Energy measuring

5. Laws and standards 5.1 Buildings 5.2 Industrial plants

Literature
  • Schmitz, G.: Klimaanlagen, Skript zur Vorlesung
  • VDI Wärmeatlas, 11. Auflage, Springer Verlag, Düsseldorf 2013
  • Herwig, H.; Moschallski, A.: Wärmeübertragung, Vieweg+Teubner Verlag, Wiesbaden 2009
  • Recknagel, H.;  Sprenger, E.; Schrammek, E.-R.: Taschenbuch für Heizung- und Klimatechnik 2013/2014, 76. Auflage, Deutscher Industrieverlag, 2013
Course L0024: Thermal Engineering
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Gerhard Schmitz
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0512: Use of Solar Energy

Courses
Title Typ Hrs/wk CP
Collector Technology (L0018) Lecture 2 2
Solar Power Generation (L0015) Lecture 2 2
Radiation and Optic (L0016) Lecture 1 1
Radiation and Optic (L0017) Recitation Section (small) 1 1
Module Responsible Prof. Martin Kaltschmitt
Admission Requirements none
Recommended Previous Knowledge none
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

With the completion of this module, students will be able to deal with technical foundations and current issues and problems in the field of solar energy and explain and evaulate these critically in consideration of the prior curriculum and current subject specific issues. In particular they can professionally describe the processes within a solar cell and explain the specific features of application of solar modules. Furthermore, they can provide an overview of the collector technology in solar thermal systems.

Skills

Students can apply the acquired theoretical foundations of exemplary energy systems using solar radiation. In this context, for example they can assess and evaluate potential and constraints of solar energy systems with respect to different geographical assumptions. They are able to dimension solar energy systems in consideration of technical aspects and given assumptions. Using module-comprehensive knowledge students can evalute the economic and ecologic conditions of these systems. They can select calculation methods within the radiation theory for these topics. 


Personal Competence
Social Competence


Autonomy

Students can independently exploit sources and acquire the particular knowledge about the subject area with respect to emphasis fo the lectures. Furthermore, with the assistance of lecturers, they can discrete use calculation methods for analysing and dimensioning solar energy systems. Based on this procedure they can concrete assess their specific learning level and can consequently define the further workflow. 

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Examination Written exam
Examination duration and scale 3 hours written exam
Assignment for the Following Curricula Energy and Environmental Engineering: Specialisation Energy and Environmental Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Renewable Energy: Elective Compulsory
International Management and Engineering: Specialisation II. Energy and Environmental Engineering: Elective Compulsory
Renewable Energies: Core qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Course L0018: Collector Technology
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Agis Papadopoulos
Language DE
Cycle SoSe
Content
  • Introduction: Energy demand and application of solar energy.
  • Heat transfer in the solar thermal energy: conduction, convection, radiation.
  • Collectors: Types, structure, efficiency, dimensioning, concentrated systems.
  • Energy storage: Requirements, types.
  • Passive solar energy: components and systems.
  • Solar thermal low temperature systems: collector variants, construction, calculation.
  • Solar thermal high temperature systems: Classification of solar power plants construction.
  • Solar air conditioning.
Literature
  • Vorlesungsskript.
  • Kaltschmitt, Streicher und Wiese (Hrsg.). Erneuerbare Energien: Systemtechnik, Wirtschaftlichkeit, Umweltaspekte, 5. Auflage, Springer, 2013.
  • Stieglitz und Heinzel .Thermische Solarenergie: Grundlagen, Technologie, Anwendungen. Springer, 2012.
  • Von Böckh und Wetzel. Wärmeübertragung: Grundlagen und Praxis, Springer, 2011.
  • Baehr und Stephan. Wärme- und Stoffübertragung. Springer, 2009.
  • de Vos. Thermodynamics of solar energy conversion. Wiley-VCH, 2008.
  • Mohr, Svoboda und Unger. Praxis solarthermischer Kraftwerke. Springer, 1999.


Course L0015: Solar Power Generation
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Martin Schlecht, Dietmar Obst
Language DE
Cycle SoSe
Content
  1. Introduction
  2. Primary energy and consumption, available solar energy
  3. Physics of the ideal solar cell
  4. Light absorption PN junction characteristic values ​​of the solar cell efficiency
  5. Physics of the real solar cell
  6. Charge carrier recombination characteristics, junction layer recombination, equivalent circuit
  7. Increasing the efficiency
  8. Methods for increasing the quantum yield, and reduction of recombination
  9. Straight and tandem structures
  10. Hetero-junction, Schottky, electrochemical, MIS and SIS-cell tandem cell
  11. Concentrator
  12. Concentrator optics and tracking systems
  13. Technology and properties: types of solar cells, manufacture, single crystal silicon and gallium arsenide, polycrystalline silicon, and silicon thin film cells, thin-film cells on carriers (amorphous silicon, CIS, electrochemical cells)
  14. Modules
  15. Circuits


Literature
  • A. Götzberger, B. Voß, J. Knobloch: Sonnenenergie: Photovoltaik, Teubner Studienskripten, Stuttgart, 1995
  • A. Götzberger: Sonnenenergie: Photovoltaik : Physik und Technologie der Solarzelle, Teubner Stuttgart, 1994
  • H.-J. Lewerenz, H. Jungblut: Photovoltaik, Springer, Berlin, Heidelberg, New York, 1995
  • A. Götzberger: Photovoltaic solar energy generation, Springer, Berlin, 2005
  • C. Hu, R. M. White: Solar CelIs, Mc Graw HilI, New York, 1983
  • H.-G. Wagemann: Grundlagen der photovoltaischen Energiewandlung: Solarstrahlung, Halbleitereigenschaften und Solarzellenkonzepte, Teubner, Stuttgart, 1994
  • R. J. van Overstraeten, R.P. Mertens: Physics, technology and use of photovoltaics, Adam Hilger Ltd, Bristol and Boston, 1986
  • B. O. Seraphin: Solar energy conversion Topics of applied physics V 01 31, Springer, Berlin, Heidelberg, New York, 1995
  • P. Würfel: Physics of Solar cells, Principles and new concepts, Wiley-VCH, Weinheim 2005
  • U. Rindelhardt: Photovoltaische Stromversorgung, Teubner-Reihe Umwelt, Stuttgart 2001
  • V. Quaschning: Regenerative Energiesysteme, Hanser, München, 2003
  • G. Schmitz: Regenerative Energien, Ringvorlesung TU Hamburg-Harburg 1994/95, Institut für Energietechnik



Course L0016: Radiation and Optic
Typ Lecture
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dr. Volker Matthias
Language DE
Cycle SoSe
Content
  • Introduction: radiation source Sun, Astronomical Foundations, Fundamentals of radiation
  • Structure of the atmosphere
  • Properties and laws of radiation
    • Polarization
    • Radiation quantities 
    • Planck's radiation law
    • Wien's displacement law
    • Stefan-Boltzmann law
    • Kirchhoff's law
    • Brightness temperature
    • Absorption, reflection, transmission
  • Radiation balance, global radiation, energy balance
  • Atmospheric extinction
  • Mie and Rayleigh scattering
  • Radiative transfer
  • Optical effects in the atmosphere
  • Calculation of the sun and calculate radiation on inclined surfaces
Literature
  • Helmut Kraus: Die Atmosphäre der Erde
  • Hans Häckel: Meteorologie
  • Grant W. Petty: A First Course in Atmosheric Radiation
  • Martin Kaltschmitt, Wolfgang Streicher, Andreas Wiese: Renewable Energy
  • Alexander Löw, Volker Matthias: Skript Optik Strahlung Fernerkundung


Course L0017: Radiation and Optic
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Steffen Beringer
Language DE
Cycle SoSe
Content

Applications of stages of calculation within the radiation gauge.

Literature siehe Vorlesungsscript

Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 138, Study Time in Lecture 42
Credit points 6
Examination according to Subject Specific Regulations
Examination duration and scale
Assignment for the Following Curricula Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory

Module M0721: Air Conditioning

Courses
Title Typ Hrs/wk CP
Air Conditioning (L0594) Lecture 3 5
Air Conditioning (L0595) Recitation Section (large) 1 1
Module Responsible Prof. Gerhard Schmitz
Admission Requirements none
Recommended Previous Knowledge Technical Thermodynamics I, II, Fluid Dynamics, Heat Transfer
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students know the different kinds of air conditioning systems for buildings and mobile applications and how these systems are controlled. They are familiar with the change of state of humid air and are able to draw the state changes in a h1+x,x-diagram. They are able to calculate the minimum airflow needed for hygienic conditions in rooms and can choose suitable filters. They know the basic flow pattern in rooms and are able to calculate the air velocity in rooms with the help of simple methods. They know the principles  to calculate an air duct network. They know the different possibilities to produce cold and are able to draw these processes into suitable thermodynamic diagrams. They know the criteria for the assessment of refrigerants.


Skills

Students are able to configure air condition systems for buildings and mobile applications.  They are able to calculate an air duct network and have the ability to perform simple planning tasks, regarding natural heat sources and heat sinks. They can transfer research knowledge into practice. They are able to perform scientific work in the field of air conditioning.


Personal Competence
Social Competence

The students are able to discuss in small groups and develop an approach.

    


Autonomy

Students are able to define independently tasks, to get new knowledge from existing knowledge as well as to find ways to use the knowledge in practice.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 60 min
Assignment for the Following Curricula Energy and Environmental Engineering: Specialisation Energy and Environmental Engineering: Elective Compulsory
Energy Systems: Specialisation Energy Systems: Elective Compulsory
Energy Systems: Specialisation Marine Engineering: Elective Compulsory
Aircraft Systems Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Aircraft Systems Engineering: Specialisation Cabin Systems: Elective Compulsory
International Management and Engineering: Specialisation II. Energy and Environmental Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Process Engineering: Specialisation Process Engineering : Elective Compulsory
Course L0594: Air Conditioning
Typ Lecture
Hrs/wk 3
CP 5
Workload in Hours Independent Study Time 108, Study Time in Lecture 42
Lecturer Prof. Gerhard Schmitz
Language DE
Cycle SoSe
Content

1. Overview

1.1 Kinds of air conditioning systems

1.2 Ventilating

1.3 Function of an air condition system

2. Thermodynamic processes

2.1 Psychrometric chart

2.2 Mixer preheater, heater

2.3 Cooler

2.4 Humidifier

2.5 Air conditioning process in a Psychrometric chart

2.6 Desiccant assisted air conditioning

3. Calculation of heating and cooling loads

3.1 Heating loads

3.2 Cooling loads

3.3 Calculation of inner cooling load

3.4 Calculation of outer cooling load

4. Ventilating systems

4.1 Fresh air demand

4.2 Air flow in rooms

4.3 Calculation of duct systems

4.4 Fans

4.5 Filters

5. Refrigeration systems

5.1. compression chillers

5.2Absorption chillers

Literature
  • Schmitz, G.: Klimaanlagen, Skript zur Vorlesung
  • VDI Wärmeatlas, 11. Auflage, Springer Verlag, Düsseldorf 2013
  • Herwig, H.; Moschallski, A.: Wärmeübertragung, Vieweg+Teubner Verlag, Wiesbaden 2009
  • Recknagel, H.;  Sprenger, E.; Schrammek, E.-R.: Taschenbuch für Heizung- und Klimatechnik 2013/2014, 76. Auflage, Deutscher Industrieverlag, 2013



Course L0595: Air Conditioning
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Gerhard Schmitz
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1000: Combined Heat and Power and Combustion Technology

Courses
Title Typ Hrs/wk CP
Combined Heat and Power and Combustion Technology (L0216) Lecture 3 5
Combined Heat and Power and Combustion Technology (L0220) Recitation Section (large) 1 1
Module Responsible Prof. Alfons Kather
Admission Requirements None
Recommended Previous Knowledge

Knowledge in Thermodynamics incl. Combustion Calculations, Heat Transfer and Fluid Mechanics


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students outline the thermodynamic and chemical fundamentals of combustion processes. From the knowledge of the characteristics and reaction kinetics of various fuels they can describe the behaviour of premixed flames and non-premixed flames, in order to describe the fundamentals of furnace design in gas-, oil- and coal combustion plant. The students are furthermore able to describe the formation of NOx and the primary NOx reduction measures and evaluate the impact of regulations and allowable limit levels.

The students present the layout, design and operation of Combined Heat and Power plants and are in a position to compare with each other district heating plants with back-pressure steam turbine or condensing turbine with pressure-controlled extraction tapping, CHP plants with gas turbine or with combined steam and gas turbine, and district heating plants with motor engine. They can explain and analyse aspects of combined heat, power and cooling (CCHP) and describe the layout of the key components needed. Through this specialised knowledge they are able to evaluate the economical and ecological significance of district CHP plants, as well as their economics.


Skills

Using thermodynamic calculations and considering the reaction kinetics the students will be able to determine interdisciplinary correlations between thermodynamic and chemical processes during combustion. This then enables quantitative analysis of the combustion of gaseous, liquid and solid fuels and determination of the quantities and concentrations of the exhaust gases. In this module the first step toward the utilisation of an energy source (combustion) to provide usable energy (electricity and heat) is taught. An understanding of both procedures enables the students to do holistic considerations of energy utilisation. Examples taken from the praxis, such as the energy supply within the TUHH and the district heating network of Hamburg will be used, to highlight the potential from electricity generation plants with simultaneous heat extraction.

Within the framework of the exercises the students will first learn to calculate the energetic and mass balances of combustion processes. Moreover the students will gain a deeper understanding of the combustion processes by the calculation of reaction kinetics and fundamentals of burner design. In order to perform further analyses they will familiarise themselves to the specialised software suite EBSILON ProfessionalTM. With this tool small and close to reality tasks are solved on the PC, to highlight aspects of the design and balancing of heating plant cycles. In addition CHP will also be considered in its economic and social contexts.


Personal Competence
Social Competence

Especially during the exercises the focus is on communication with the teaching person. By this the students are animated to reflect on their existing knowledge and to ask specific questions for improving their knowledge level.



Autonomy

The students assisted by the tutors will be able to develop simulation models independently and run scenario analyses as well as estimating calculations. In this manner the theoretical and practical knowledge from the lecture is consolidated and the potential effects from different process arrangements and boundary conditions are highlighted.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula Energy and Environmental Engineering: Specialisation Energy Engineering: Elective Compulsory
Energy Systems: Specialisation Energy Systems: Compulsory
Energy Systems: Specialisation Marine Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Energy and Environmental Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Course L0216: Combined Heat and Power and Combustion Technology
Typ Lecture
Hrs/wk 3
CP 5
Workload in Hours Independent Study Time 108, Study Time in Lecture 42
Lecturer Prof. Alfons Kather
Language DE
Cycle SoSe
Content

In the subject area of "Combined Heat and Power" covers the following themes:

  • Layout, design and operation of Combined Heat and Power plants
  • District heating plants with back-pressure steam turbine and condensing turbine with pressure-controlled extraction tapping
  • District heating plants with gas turbine
  • District heating plants with combined steam and gas turbine
  • District heating plants with motor engine
  • Geothermal power and heat generation
  • Combined cooling heat and power (CCHP)
  • Layout of the key components
  • Regulatory framework and allowable limits
  • Economic significance and calculation of the profitability of district CHP plant

whereas the subject of Combustion Technology includes:

  1. Thermodynamic and chemical fundamentals
  2. Fuels
  3. Reaction kinetics
  4. Premixed flames
  5. Non-premixed flames
  6. Combustion of gaseous fuels
  7. Combustion of liquid fuels
  8. Combustion of solid fuels
  9. Combustion Chamber design
  10. NOx reduction
Literature

Bezüglich des Themenbereichs "Kraft-Wärme-Kopplung":

  • W. Piller, M. Rudolph: Kraft-Wärme-Kopplung, VWEW Verlag
  • Kehlhofer, Kunze, Lehmann, Schüller: Handbuch Energie, Band 7, Technischer Verlag Resch
  • W. Suttor: Praxis Kraft-Wärme-Kopplung, C.F. Müller Verlag
  • K. W. Schmitz, G. Koch: Kraft-Wärme-Kopplung, VDI Verlag
  • K.-H. Suttor, W. Suttor: Die KWK Fibel, Resch Verlag

und für die Grundlagen der "Verbrennungstechnik":

  • Warnatz Jürgen, Maas Ulrich, Dibble Robert W.; Technische Verbrennung :
    physikalisch-chemische Grundlagen, Modellbildung, Schadstoffentstehung.
    Berlin [u. a.] : Springer, 2001




Course L0220: Combined Heat and Power and Combustion Technology
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Alfons Kather
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0508: Fluid Mechanics and Ocean Energy

Courses
Title Typ Hrs/wk CP
Energy from the Ocean (L0002) Lecture 2 2
Fluid Mechanics II (L0001) Lecture 2 4
Module Responsible Prof. Michael Schlüter
Admission Requirements none
Recommended Previous Knowledge

Technische Thermodynamik I-II
Wärme- und Stoffübertragung

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to describe different applications of fluid mechanics for the field of Renewable Energies. They are able to use the fundamentals of fluid mechanics for calculations of certain engineering problems in the field of ocean energy. The students are able to estimate if a problem can be solved with an analytical solution and what kind of alternative possibilities are available (e.g. self-similarity, empirical solutions, numerical methods).

Skills

Students are able to use the governing equations of Fluid Dynamics for the design of technical processes. Especially they are able to formulate momentum and mass balances to optimize the hydrodynamics of technical processes. They are able to transform a verbal formulated message into an abstract formal procedure.

Personal Competence
Social Competence

The students are able to discuss a given problem in small groups and to develop an approach. They are able to solve a problem within a team, to prepare a poster with the results and to present the poster.

Autonomy

Students are able to define independently tasks for problems related to fluid mechanics. They are able to work out the knowledge that is necessary to solve the problem by themselves on the basis of the existing knowledge from the lecture.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 3h
Assignment for the Following Curricula Energy Systems: Core qualification: Elective Compulsory
International Management and Engineering: Specialisation II. Renewable Energy: Elective Compulsory
Renewable Energies: Core qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L0002: Energy from the Ocean
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Moustafa Abdel-Maksoud
Language DE
Cycle WiSe
Content
  1. Introduction to ocean energy conversion
  2. Wave properties
    • Linear wave theory
    • Nonlinear wave theory
    • Irregular waves
    • Wave energy
    • Refraction, reflection and diffraction of waves
  3. Wave energy converters
    • Overview of the different technologies
    • Methods for design and calculation
  4. Ocean current turbine
Literature
  • Cruz, J., Ocean wave energy, Springer Series in Green Energy and Technology, UK, 2008.
  • Brooke, J., Wave energy conversion, Elsevier, 2003.
  • McCormick, M.E., Ocean wave energy conversion, Courier Dover Publications, USA, 2013.
  • Falnes, J., Ocean waves and oscillating systems, Cambridge University Press,UK, 2002.
  • Charlier, R. H., Charles, W. F., Ocean energy. Tide and tidal Power. Berlin, Heidelberg, 2009.
  • Clauss, G. F., Lehmann, E., Östergaard, C., Offshore Structures. Volume 1, Conceptual Design. Springer-Verlag, Berlin 1992


Course L0001: Fluid Mechanics II
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer Prof. Michael Schlüter
Language DE
Cycle WiSe
Content
  • Differential equations for momentum-, heat and mass transfer   
  • Examples for simplifications of the Navier-Stokes Equations 
  • Unsteady momentum transfer
  • Free shear layer, turbulence and free jets
  • Flow around particles - Solids Process Engineering
  • Coupling of momentum and heat transfer - Thermal Process Engineering
  • Rheology – Bioprocess Engineering
  • Coupling of momentum- and mass transfer – Reactive mixing, Chemical Process Engineering 
  • Flow threw porous structures - heterogeneous catalysis
  • Pumps and turbines - Energy- and Environmental Process Engineering 
  • Wind- and Wave-Turbines - Renewable Energy
  • Introduction into Computational Fluid Dynamics

Literature
  1. Brauer, H.: Grundlagen der Einphasen- und Mehrphasenströmungen. Verlag Sauerländer, Aarau, Frankfurt (M), 1971.
  2. Brauer, H.; Mewes, D.: Stoffaustausch einschließlich chemischer Reaktion. Frankfurt: Sauerländer 1972.
  3. Crowe, C. T.: Engineering fluid mechanics. Wiley, New York, 2009.
  4. Durst, F.: Strömungsmechanik: Einführung in die Theorie der Strömungen von Fluiden. Springer-Verlag, Berlin, Heidelberg, 2006.
  5. Fox, R.W.; et al.: Introduction to Fluid Mechanics. J. Wiley & Sons, 1994.
  6. Herwig, H.: Strömungsmechanik: Eine Einführung in die Physik und die mathematische Modellierung von Strömungen. Springer Verlag, Berlin, Heidelberg, New York, 2006.
  7. Herwig, H.: Strömungsmechanik: Einführung in die Physik von technischen Strömungen: Vieweg+Teubner Verlag / GWV Fachverlage GmbH, Wiesbaden, 2008.
  8. Kuhlmann, H.C.:  Strömungsmechanik. München, Pearson Studium, 2007
  9. Oertl, H.: Strömungsmechanik: Grundlagen, Grundgleichungen, Lösungsmethoden, Softwarebeispiele. Vieweg+ Teubner / GWV Fachverlage GmbH, Wiesbaden, 2009.
  10. Schade, H.; Kunz, E.: Strömungslehre. Verlag de Gruyter, Berlin, New York, 2007.
  11. Truckenbrodt, E.: Fluidmechanik 1: Grundlagen und elementare Strömungsvorgänge dichtebeständiger Fluide. Springer-Verlag, Berlin, Heidelberg, 2008.
  12. Schlichting, H. : Grenzschicht-Theorie. Springer-Verlag, Berlin, 2006.
  13. van Dyke, M.: An Album of Fluid Motion. The Parabolic Press, Stanford California, 1882.  

Module M0658: Innovative CFD Approaches

Courses
Title Typ Hrs/wk CP
Application of Innovative CFD Methods in Research and Development (L0239) Lecture 2 3
Application of Innovative CFD Methods in Research and Development (L1685) Recitation Section (small) 2 3
Module Responsible Prof. Thomas Rung
Admission Requirements None
Recommended Previous Knowledge

Attendance of a computational fluid dynamics course (CFD1/CFD2)

Competent knowledge of numerical analysis in addition to general and computational thermo/fluid dynamics

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Student can explain the theoretical background of different CFD strategies (e.g. Lattice-Boltzmann, Smoothed Particle-Hydrodynamics, Finite-Volume methods) and describe the fundamentals of simulation-based optimisation.

Skills Student is able to identify an appropriate CFD-based solution strategy on a jusitfied basis.
Personal Competence
Social Competence Student should practice her/his team-working abilities, learn to lead team sessions and present solutions to experts.
Autonomy Student should be able to structure and perform a simulation-based project independently,
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Project
Examination duration and scale project thesis (lecture accompanying, approx. 25 pages) with thesis defence (approx. 45 minutes)
Assignment for the Following Curricula Energy Systems: Core qualification: Elective Compulsory
Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory
Naval Architecture and Ocean Engineering: Core qualification: Elective Compulsory
Ship and Offshore Technology: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L0239: Application of Innovative CFD Methods in Research and Development
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Thomas Rung
Language DE/EN
Cycle WiSe
Content

Computational Optimisation, Parallel Computing, Efficient CFD-Procedures   for GPU Archtiectures, Alternative Approximations (Lattice-Boltzmann Methods, Particle Methods), Fluid/Structure-Interaction, Modelling of Hybrid Continua

Literature Vorlesungsmaterialien /lecture notes
Course L1685: Application of Innovative CFD Methods in Research and Development
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Thomas Rung
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1149: Marine Power Engineering

Courses
Title Typ Hrs/wk CP
Electrical Installation on Ships (L1531) Lecture 2 2
Electrical Installation on Ships (L1532) Recitation Section (large) 1 1
Marine Engineering (L1569) Lecture 2 2
Marine Engineering (L1570) Recitation Section (large) 1 1
Module Responsible Prof. Christopher Friedrich Wirz
Admission Requirements
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to describe the state-of-the-art regarding the wide range of propulsion components on ships and apply their knowledge. They further know how to analyze and optimize the interaction of the components of the propulsion system and how to describe complex correlations with the specific technical terms in German and English.  The students are able to name the operating behaviour of consumers, describe special requirements on the design of supply networks and to the electrical equipment in isolated networks, as e.g. onboard ships, offshore units, factories and emergency power supply systems, explain power generation and distribution in isolated grids, wave generator systems on ships, and name requirements for network protection, selectivity and operational monitoring.


Skills

The students are skilled to employ basic and detail knowledge regarding reciprocating machinery, their selection and operation on board ships. They are further able to assess, analyse and solve technical and operational problems with propulsion and auxiliary plants and to design propulsion systems. The students have the skills to describe complex correlations and bring them into context with related disciplines. Students are able to calculate short-circuit currents, switchgear, and design electrical propulsion systems for ships.


Personal Competence
Social Competence

The students are able to communicate and cooperate in a professional environment in the shipbuilding and component supply industry.

 

Autonomy

The widespread scope of gained knowledge enables the students to handle situations in their future profession independently and confidently.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Examination Written exam
Examination duration and scale 90 minutes plus 20 minutes oral exam
Assignment for the Following Curricula Energy Systems: Specialisation Energy Systems: Elective Compulsory
Energy Systems: Specialisation Marine Engineering: Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L1531: Electrical Installation on Ships
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Günter Ackermann
Language DE
Cycle WiSe
Content
  • performance in service of electrical consumers.
  • special requirements for power supply systems and for electrical equipment in isolated systems/networks e. g. aboard ships, offshore installations, factory systems and emergency power supply systems.
  • power generation and distribution in isolated networks, shaft generators for ships
  • calculation of short circuits and behaviour of switching devices
  • protective devices, selectivity monitoring
  • electrical Propulsion plants for ships
Literature

H. Meier-Peter, F. Bernhardt u. a.: Handbuch der Schiffsbetriebstechnik, Seehafen Verlag

(engl. Version: "Compendium Marine Engineering")

Gleß, Thamm: Schiffselektrotechnik, VEB Verlag Technik Berlin

Course L1532: Electrical Installation on Ships
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Günter Ackermann
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1569: Marine Engineering
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christopher Friedrich Wirz
Language DE
Cycle WiSe
Content
Literature

Wird in der Veranstaltung bekannt gegeben

Course L1570: Marine Engineering
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Christopher Friedrich Wirz
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Specialization Aircraft Systems Engineering

Central to the specialization Aircraft Systems is learning the ability to systems engineering and cross-divisional thinking and problem solving in aeronautical engineering. This is made possible by modules in the field of physics of flight, aircraft systems and cabin systems, Aircraft Design, as well as airport planning and operation in the elective area. In addition, subjects in the Technical Supplement Course for TMBMS (according FSPO) are freely selectable.

Module M0763: Aircraft Systems I

Courses
Title Typ Hrs/wk CP
Aircraft Systems I (L0735) Lecture 3 4
Aircraft Systems I (L0739) Recitation Section (large) 1 2
Module Responsible Prof. Frank Thielecke
Admission Requirements

None

Recommended Previous Knowledge

Basic knowledge in:

  • Mathematics
  • Mechanics
  • Thermodynamics
  • Electrical Engineering
  • Hydraulics
  • Control Systems
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to:

  • Describe essential components and design points of hydraulic and electrical systems such as high-lift and anti-ice systems
  • Give an overview of the functionality of air conditioning systems and explain atmospheric conditions for icing such as the functionality of anti-ice systems
  • Explain the need for high-lift systems such as ist functionality and effects
  • Assess the challenge during the design of supply systems of an aircraft


Skills

Students are able to:

  • Design hydraulic supply systems of aircrafts
  • Design high-lift systems of aircrafts
  • Analyze the thermodynamic behaviour of air conditioning systems and design anti-ice systems


Personal Competence
Social Competence

Students are able to:

  • Perform system design in groups and present and discuss results


Autonomy

Students are able to:

  • Reflect the contents of lectures autonomously
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 165 Minutes
Assignment for the Following Curricula Energy Systems: Specialisation Energy Systems: Elective Compulsory
Aircraft Systems Engineering: Core qualification: Compulsory
International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L0735: Aircraft Systems I
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Frank Thielecke
Language DE
Cycle WiSe
Content
  • Hydraulic Energy Systems (Fluids; pressure loss in valves and pipes; components of hydraulic systems like pumps, valves, etc.; pressure/flow characteristics; actuators; tanks; power and heat balances; emergency power)
  • Electric Energy Systems (Generators; constant-speed-drives; DC and AC converters; electrical power distribution; bus systems; monitoring; load analysis)
  • High Lift Systems (Principles; investigation of loads and system actuation power; principles and sizing of actuation and positioning systems; safety requirements and devices)
  • Environmental Control Systems (Thermodynamic analysis; expansion and compression cooling systems; control strategies; cabin pressure control systems)
  • De- and Anti-Ice Systems: (Atmospheric icing conditions; principles of de- and anti-ice systems)


Literature
  • Moir, Seabridge: Aircraft Systems
  • Green: Aircraft Hydraulic Systems
  • Torenbek: Synthesis of Subsonic Airplane Design
  • SAE1991: ARP; Air Conditioning Systems for Subsonic Airplanes


Course L0739: Aircraft Systems I
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Frank Thielecke
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0812: Aircraft Design

Courses
Title Typ Hrs/wk CP
Aircraft Design I (L0820) Lecture 2 2
Aircraft Design I (L0834) Recitation Section (large) 1 1
Aircraft Design II (Detailled Design Methods for Aeroynamics and Aircraft Structures, Multidisciplinary Design) (L0844) Lecture 2 2
Aircraft Design II (Detailled Design Methods for Aeroynamics and Aircraft Structures, Multidisciplinary Design) (L0847) Project Seminar 1 1
Module Responsible Prof. Volker Gollnick
Admission Requirements None
Recommended Previous Knowledge

Bachelor Mech. Eng., Vordiplom Mech. Eng.,

Module Air Transport Systems

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  1. Principle understanding of integrated aircraft design
  2. Understanding of the interactions and contributions of the various disciplines
  3. Impact of the relevant design parameter on the aircraft design
  4. Introduction of the principle design methods
Skills

Understanding and application of design and calculation methods

Understanding of interdisciplinary and integrative interdependencies

Personal Competence
Social Competence

Working in interdisciplinary teams

Communication

Autonomy Organization of workflows and -strategies
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula Aircraft Systems Engineering: Core qualification: Compulsory
International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L0820: Aircraft Design I
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Volker Gollnick
Language DE
Cycle WiSe
Content

Introduction into the aircraft design process

  1. Introduction/process of aircraft design/various aircraft configurations
  2. Requirements and design objectives, main design parameter (u.a. payload-range-diagramme)
  3. Statistical methods in overall aircraft design/data base methods
  4. Principles of aircraft performance design (stability, V-n-diagramme)
  5. Principles of aerodynamic aircraft design (polar, geometry, 2D/3D aerodynamics)
  6. Principles of structural fuselage and wing design (mass analysis, beam/tube models, geometry)
  7. Principles of engine design and integration
  8. Cruise design
  9. Design of runway and landing field length
  10. Cabin design (fuselage dimensioning, cabin interior, loading systems)
  11. System- and equipment aspects
  12. Design variations and operating cost calculation
Literature

J. Roskam: "Airplane Design"

D.P. Raymer: "Aircraft Design - A Conceptual Approach"

J.P. Fielding: "Intorduction to Aircraft Design"

Jenkinson, Simpkon, Rhods: "Civil Jet Aircraft Design"

Course L0834: Aircraft Design I
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Volker Gollnick
Language DE
Cycle WiSe
Content

Training in applying MatLab

Application of design methods for civil aircraft concerning:

Fuselage and Cabin sizing and design

Calculation of aircraft masses

Aerodynamic and geometric wing design

TakeOff, landing cruise performance calculation

Manoevre and gust load calculation

Literature

J. Roskam: "Airplane Design"

D.P. Raymer: "Aircraft Design - A Conceptual Approach"

J.P. Fielding: "Intorduction to Aircraft Design"

Jenkinson, Simpkon, Rhods: "Civil Jet Aircraft Design"

Course L0844: Aircraft Design II (Detailled Design Methods for Aeroynamics and Aircraft Structures, Multidisciplinary Design)
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Volker Gollnick, Björn Nagel
Language DE/EN
Cycle SoSe
Content Physical modelling in aircraft design Introduction - Numerical design process Parameterization and data formats Numerical beam models and lifting line Data base driven engine design Coupling (interpolation, time incremental process Aeroelastic effects Optimization methods in aircraft design Light weight design aspects in aircraft design Limits of simple design methodes Numerical wing design
Literature Horst Kossira: "Grundlagen des Leichtbaus. Einführung in die Theorie dünnwandiger stabförmiger Tragwerke" Johannes Wiedemann: "Leichtbau - Elemente und Konstruktion"
Course L0847: Aircraft Design II (Detailled Design Methods for Aeroynamics and Aircraft Structures, Multidisciplinary Design)
Typ Project Seminar
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Volker Gollnick, Björn Nagel
Language DE/EN
Cycle SoSe
Content Project oriented exercise in detailed aircraft design Setup of numerical models Numerical design optimization Light weight structural design Interdisciplinary model coupling
Literature Horst Kossira: "Grundlagen des Leichtbaus. Einführung in die Theorie dünnwandiger stabförmiger Tragwerke" Johannes Wiedemann: "Leichtbau - Elemente und Konstruktion"

Module M1043: Aircraft Systems Engineering

Courses
Title Typ Hrs/wk CP
Advanced Topics in Control (L0661) Lecture 2 3
Advanced Topics in Control (L0662) Recitation Section (small) 1 1
Introduction to Electromagnetic Waveguides and Antennas (L1669) Lecture 2 2
Design Optimization and Probabilistic Approaches in Structural Analysis (L1817) Seminar 3 3
Fatigue & Damage Tolerance (L0310) Lecture 2 3
Lightweight Construction with Fibre Reinforced Rolymers - Structural Mechanics (L1514) Lecture 2 2
Lightweight Construction with Fibre Reinforced Rolymers - Structural Mechanics (L1515) Recitation Section (large) 1 1
Lightweight Design Practical Course (L1258) Problem-based Learning 3 3
Aviation Security (L1549) Lecture 2 2
Aviation Security (L1550) Recitation Section (small) 1 1
Metallic Materials for Aircraft Applications (L0514) Lecture 2 3
Optimal and Robust Control (L0658) Lecture 2 3
Optimal and Robust Control (L0659) Recitation Section (small) 1 1
Turbo Jet Engines (L0908) Lecture 2 3
System Analysis in Air Transportation (L0855) Lecture 3 3
Reliability in Engineering Dynamics (L0176) Lecture 2 2
Reliability in Engineering Dynamics (L1303) Recitation Section (small) 1 2
Reliability of avionics assemblies (L1554) Lecture 2 2
Reliability of avionics assemblies (L1555) Recitation Section (small) 1 1
Reliability of Aircraft Systems (L0749) Lecture 2 3
Module Responsible Prof. Frank Thielecke
Admission Requirements

None

Recommended Previous Knowledge

Basic knowledge in:

  • Mathematics
  • Mechanics
  • Thermodynamics
  • Electrical Engineering
  • Hydraulics
  • Control Systems
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students are able to find their way through selected special areas within systems engineering, air transportation system and material science
  • Students are able to explain basic models and procedures in selected special areas.
  • Students are able to interrelate scientific and technical knowledge.
Skills

Students are able to apply basic methods in selected areas of engineering.

Personal Competence
Social Competence
Autonomy

Students can chose independently, in which fields they want to deepen their knowledge and skills through the election of courses.

Workload in Hours Depends on choice of courses
Credit points 6
Assignment for the Following Curricula Aircraft Systems Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Aircraft Systems Engineering: Specialisation Air Transportation Systems: Elective Compulsory
Aircraft Systems Engineering: Specialisation Cabin Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L0661: Advanced Topics in Control
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale
Lecturer Prof. Herbert Werner
Language EN
Cycle WiSe
Content
  • Linear Parameter-Varying (LPV) Gain Scheduling

    - Linearizing gain scheduling, hidden coupling
    - Jacobian linearization vs. quasi-LPV models
    - Stability and induced L2 norm of LPV systems
    - Synthesis of LPV controllers based on the two-sided projection lemma
    - Simplifications: controller synthesis for polytopic and LFT models
    - Experimental identification of LPV models
    - Controller synthesis based on input/output models
    - Applications: LPV torque vectoring for electric vehicles, LPV control of a robotic manipulator
  • Control of Multi-Agent Systems

    - Communication graphs
    - Spectral properties of the graph Laplacian
    - First and second order consensus protocols
    - Formation control, stability and performance
    - LPV models for agents subject to nonholonomic constraints
    - Application: formation control for a team of quadrotor helicopters
  • Control of Spatially Interconnected Systems

    - Multidimensional signals, l2 and L2 signal norm
    - Multidimensional systems in Roesser state space form
    - Extension of real-bounded lemma to spatially interconnected systems
    - LMI-based synthesis of distributed controllers
    - Spatial LPV control of spatially varying systems
    - Applications: control of temperature profiles, vibration damping for an actuated beam
Literature
  • Werner, H., Lecture Notes "Advanced Topics in Control"
  • Selection of relevant research papers made available as pdf documents via StudIP
Course L0662: Advanced Topics in Control
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Mündliche Prüfung
Examination duration and scale
Lecturer Prof. Herbert Werner
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1669: Introduction to Electromagnetic Waveguides and Antennas
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Prof. Christian Schuster
Language DE/EN
Cycle WiSe
Content

Introduction to the principles and applications of electromagnetic wave propagation, electromagnetic waveguides and antennas for students without background in electrical engineering.

Literature

- S. Ramo, J. Whinnery, T. Van Duzer, "Fields and Waves in Communication Electronics", Wiley (1994)

- D. M. Pozar, "Microwave Engineering", Wiley (2011)

- C. A. Balanis, "Antenna Theory: Analysis and Design", Wiley (2005)

Course L1817: Design Optimization and Probabilistic Approaches in Structural Analysis
Typ Seminar
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Hausarbeit
Examination duration and scale 10 Seiten und Diskussion
Lecturer Prof. Benedikt Kriegesmann
Language DE
Cycle SoSe
Content
Literature
Course L0310: Fatigue & Damage Tolerance
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 45 min
Lecturer Dr. Martin Flamm
Language EN
Cycle WiSe
Content Design principles, fatigue strength, crack initiation and crack growth, damage calculation, counting methods, methods to improve fatigue strength, environmental influences
Literature Jaap Schijve, Fatigue of Structures and Materials. Kluver Academic Puplisher, Dordrecht, 2001 E. Haibach. Betriebsfestigkeit Verfahren und Daten zur Bauteilberechnung. VDI-Verlag, Düsseldorf, 1989
Course L1514: Lightweight Construction with Fibre Reinforced Rolymers - Structural Mechanics
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Christian Mittelstedt
Language DE
Cycle WiSe
Content

Fundamentals of Anisotropic Elasticity

Displacements, strains and stresses; Equilibrium equations; Kinematics; Hooke’s generalized law

Behaviour of a single laminate layer

Material law of a single laminate layer; Full anisotropy and coupling effects; Material symmetries; Engineering constants; Plane state of stress; Transformation rules

Fundamentals of Micromechanics of a laminate layer

Representative unit cell; Determination of effective material constants; Effective stiffness properties of a single layer

Classical Laminate Plate Theory

Notations and laminate code; Kinematics and displacement field; Strains and stresses, stress resultants; Constitutive equations and coupling effects; Special laminates and their behavior; Effective laminate properties

Strength of Laminated Plates

Fundamental concept; Phenomenological failure criteria: maximum stresses, maximum strains, Tsai-Hill, Tsai-Wu, Puck, Hashin

Bending of Composite Laminated Plates

Differential Equations; Boundary Conditions; Navier-type solutions; Lévy-type solutions

Stress Concentration Problems

Free-edge effects; Stress concentrations at holes, cracks, delaminations; Aspects of failure analysis

Stability of Thin-Walled Composite Structures

Buckling of anisotropic plates and shells; Influence of loading conditions; Influence of boundary conditions; Exact transcendental solutions and their evaluation; Buckling of stiffened composite plates; Minimum stiffness requirements; Local buckling of stiffener profiles

Written exercise (report required)

Assessment of a thin-walled composite laminated beam taking several different dimensioning criteria into account

Literature
  • Schürmann, H., „Konstruieren mit Faser-Kunststoff-Verbunden“, Springer, Berlin, aktuelle Auflage.
  • Wiedemann, J., „Leichtbau Band 1: Elemente“, Springer, Berlin, Heidelberg, , aktuelle Auflage.
  • Reddy, J.N., „Mechanics of Composite Laminated Plates and Shells”, CRC Publishing, Boca Raton et al., current edition.
  • Jones, R.M., „Mechanics of Composite Materials“, Scripta Book Co., Washington, current edition.
  • Timoshenko, S.P., Gere, J.M., „Theory of elastic stability“, McGraw-Hill Book Company, Inc., New York, current edition.
  • Turvey, G.J., Marshall, I.H., „Buckling and postbuckling of composite plates“, Chapman and Hall, London, current edition.
  • Herakovich, C.T., „Mechanics of fibrous composites“, John Wiley and Sons, Inc., New York, current edition.
  • Mittelstedt, C., Becker, W., „Strukturmechanik ebener Laminate”, aktuelle Auflage.
Course L1515: Lightweight Construction with Fibre Reinforced Rolymers - Structural Mechanics
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Christian Mittelstedt
Language DE
Cycle WiSe
Content

Fundamentals of Anisotropic Elasticity

Displacements, strains and stresses; Equilibrium equations; Kinematics; Hooke’s generalized law

Behaviour of a single laminate layer

Material law of a single laminate layer; Full anisotropy and coupling effects; Material symmetries; Engineering constants; Plane state of stress; Transformation rules

Fundamentals of Micromechanics of a laminate layer

Representative unit cell; Determination of effective material constants; Effective stiffness properties of a single layer

Classical Laminate Plate Theory

Notations and laminate code; Kinematics and displacement field; Strains and stresses, stress resultants; Constitutive equations and coupling effects; Special laminates and their behavior; Effective laminate properties

Strength of Laminated Plates

Fundamental concept; Phenomenological failure criteria: maximum stresses, maximum strains, Tsai-Hill, Tsai-Wu, Puck, Hashin

Bending of Composite Laminated Plates

Differential Equations; Boundary Conditions; Navier-type solutions; Lévy-type solutions

Stress Concentration Problems

Free-edge effects; Stress concentrations at holes, cracks, delaminations; Aspects of failure analysis

Stability of Thin-Walled Composite Structures

Buckling of anisotropic plates and shells; Influence of loading conditions; Influence of boundary conditions; Exact transcendental solutions and their evaluation; Buckling of stiffened composite plates; Minimum stiffness requirements; Local buckling of stiffener profiles

Written exercise (report required)

Assessment of a thin-walled composite laminated beam taking several different dimensioning criteria into account

Literature
  • Schürmann, H., „Konstruieren mit Faser-Kunststoff-Verbunden“, Springer, Berlin, aktuelle Auflage.
  • Wiedemann, J., „Leichtbau Band 1: Elemente“, Springer, Berlin, Heidelberg, , aktuelle Auflage.
  • Reddy, J.N., „Mechanics of Composite Laminated Plates and Shells”, CRC Publishing, Boca Raton et al., current edition.
  • Jones, R.M., „Mechanics of Composite Materials“, Scripta Book Co., Washington, current edition.
  • Timoshenko, S.P., Gere, J.M., „Theory of elastic stability“, McGraw-Hill Book Company, Inc., New York, current edition.
  • Turvey, G.J., Marshall, I.H., „Buckling and postbuckling of composite plates“, Chapman and Hall, London, current edition.
  • Herakovich, C.T., „Mechanics of fibrous composites“, John Wiley and Sons, Inc., New York, current edition.
  • Mittelstedt, C., Becker, W., „Strukturmechanik ebener Laminate”, aktuelle Auflage.
Course L1258: Lightweight Design Practical Course
Typ Problem-based Learning
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Mündliche Prüfung
Examination duration and scale 30 min
Lecturer Prof. Dieter Krause
Language DE
Cycle SoSe
Content

Development of a sandwich structure made of fibre reinforced plastics

  • getting familiar with fibre reinforced plastics as well as lightweight design
  • Design of a sandwich structure made of fibre reinforced plastics using finite element analysis (FEA)
  • Determination of material properties based on sample tests
  • manufacturing of the structure in the composite lab
  • Testing of the developed structure
  • Concept presentation
  • Self-organised teamwork
Literature
  • Schürmann, H., „Konstruieren mit Faser-Kunststoff-Verbunden“, Springer, Berlin, 2005.
  • Puck, A., „Festigkeitsanalsyse von Faser-Matrix-Laminaten“, Hanser, München, Wien, 1996.
  • R&G, „Handbuch Faserverbundwerkstoffe“, Waldenbuch, 2009.
  • VDI 2014 „Entwicklung von Bauteilen aus Faser-Kunststoff-Verbund“
  • Ehrenstein, G. W., „Faserverbundkunststoffe“, Hanser, München, 2006.
  • Klein, B., „Leichtbau-Konstruktion", Vieweg & Sohn, Braunschweig, 1989.
  • Wiedemann, J., „Leichtbau Band 1: Elemente“, Springer, Berlin, Heidelberg, 1986.
  • Wiedemann, J., „Leichtbau Band 2: Konstruktion“, Springer, Berlin, Heidelberg, 1986.
  • Backmann, B.F., „Composite Structures, Design, Safety and Innovation”, Oxford (UK), Elsevier, 2005.
  • Krause, D., „Leichtbau”,  In: Handbuch Konstruktion, Hrsg.: Rieg, F., Steinhilper, R., München, Carl Hanser Verlag, 2012.
  • Schulte, K., Fiedler, B., „Structure and Properties of Composite Materials”, Hamburg, TUHH - TuTech Innovation GmbH, 2005.
Course L1549: Aviation Security
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Prof. Ralf God
Language DE
Cycle WiSe
Content

The objective of the lecture with the corresponding exercise is the acquisition of knowledge about tasks and measures for protection against attacks on the security of the commercial air transport system. Tasks and measures will be elicited in the context of the three system components man, technology and organization.

The course teaches the basics of aviation security. Aviation security is a necessary prerequisite for an economically successful air transport system. Risk management for the entire system can only be successful in an integrated approach, considering man, technology and organization:
• Historical development 
• The special role of air transport 
• Motive and attack vectors 
• The human factor 
• Threats and risk 
• Regulations and law 
• Organization and implementation of aviation security tasks 
• Passenger and baggage checks 
• Cargo screening and secure supply chain 
• Safety technologies

Literature

- Skript zur Vorlesung

- Giemulla, E.M., Rothe B.R. (Hrsg.): Handbuch Luftsicherheit. Universitätsverlag TU Berlin, 2011

- Thomas, A.R. (Ed.): Aviation Security Management. Praeger Security International, 2008

Course L1550: Aviation Security
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Prof. Ralf God
Language DE
Cycle WiSe
Content

The objective of the lecture with the corresponding exercise is the acquisition of knowledge about tasks and measures for protection against attacks on the security of the commercial air transport system. Tasks and measures will be elicited in the context of the three system components man, technology and organization.

The course teaches the basics of aviation security. Aviation security is a necessary prerequisite for an economically successful air transport system. Risk management for the entire system can only be successful in an integrated approach, considering man, technology and organization:
• Historical development 
• The special role of air transport 
• Motive and attack vectors 
• The human factor 
• Threats and risk 
• Regulations and law 
• Organization and implementation of aviation security tasks 
• Passenger and baggage checks 
• Cargo screening and secure supply chain 
• Safety technologies

Literature

- Skript zur Vorlesung

- Giemulla, E.M., Rothe B.R. (Hrsg.): Handbuch Luftsicherheit. Universitätsverlag TU Berlin, 2011

- Thomas, A.R. (Ed.): Aviation Security Management. Praeger Security International, 2008

Course L0514: Metallic Materials for Aircraft Applications
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Prof. Joachim Albrecht
Language EN
Cycle SoSe
Content

Titanium and Titanium alloys: Extraction and melting, phase diagrams, physical properties.

CP-Titanium and Alpha alloys: Processing and microstructure, properties and applications.

Alpha+Beta alloys: Processing and microstructure, properties and applications.

Beta alloys: Processing and microstructure, properties and applications

Nickel-base Superalloys: Optimization of creep resistance for gas turbine engines, microstructural constituents and influence of alloying elements, thermomechanical treatment and resulting properties, long time stability at high temperatures

Literature

G. Luetjering, J.C. Williams: Titanium, 2nd ed., Springer, Berlin, Heidelberg, 2007, ISBN 978-3-540-71397

C.T. Sims, W.C. Hagel: The Superalloys, John Wiley & Sons, New York, 1972, ISBN 0-471-79207-1

Course L0658: Optimal and Robust Control
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale
Lecturer Prof. Herbert Werner
Language EN
Cycle SoSe
Content
  • Optimal regulator problem with finite time horizon, Riccati differential equation
  • Time-varying and steady state solutions, algebraic Riccati equation, Hamiltonian system
  • Kalman’s identity, phase margin of LQR controllers, spectral factorization
  • Optimal state estimation, Kalman filter, LQG control
  • Generalized plant, review of LQG control
  • Signal and system norms, computing H2 and H∞ norms
  • Singular value plots, input and output directions
  • Mixed sensitivity design, H∞ loop shaping, choice of weighting filters
  • Case study: design example flight control
  • Linear matrix inequalities, design specifications as LMI constraints (H2, H∞ and pole region)
  • Controller synthesis by solving LMI problems, multi-objective design
  • Robust control of uncertain systems, small gain theorem, representation of parameter uncertainty
Literature
  • Werner, H., Lecture Notes: "Optimale und Robuste Regelung"
  • Boyd, S., L. El Ghaoui, E. Feron and V. Balakrishnan "Linear Matrix Inequalities in Systems and Control", SIAM, Philadelphia, PA, 1994
  • Skogestad, S. and I. Postlewhaite "Multivariable Feedback Control", John Wiley, Chichester, England, 1996
  • Strang, G. "Linear Algebra and its Applications", Harcourt Brace Jovanovic, Orlando, FA, 1988
  • Zhou, K. and J. Doyle "Essentials of Robust Control", Prentice Hall International, Upper Saddle River, NJ, 1998
Course L0659: Optimal and Robust Control
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Mündliche Prüfung
Examination duration and scale
Lecturer Prof. Herbert Werner
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0908: Turbo Jet Engines
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Mündliche Prüfung
Examination duration and scale 45 min
Lecturer Dr. Burkhard Andrich
Language DE
Cycle WiSe
Content
  • Cycle of the gas turbine
  • Thermodynamics of gas turbine components
  • Wing-, grid- and stage-sizing
  • Operating characteristics of gas turbine components
  • Sizing criteria’s for jet engines
  • Development trends of gas turbines and jet engines
  • Maintenance of jet engines


Literature
  • Bräunling: Flugzeugtriebwerke
  • Engmann: Technologie des Fliegens
  • Kerrebrock: Aircraft Engines and Gas Turbines


Course L0855: System Analysis in Air Transportation
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Examination Form Klausur
Examination duration and scale 60 Minuten
Lecturer Prof. Volker Gollnick
Language DE
Cycle WiSe
Content
  1. Introduction to the Air Transport System
  2. System analysis methodologies
  3. Technology management
  4. Technical analysis methods
  5. Economical analysis methods
  6. Ecological analysis methods
  7. Societal analysis methods
  8. Research on the future 
  9. Synthesis, overall assessment, decision making
  10. Case studies – Technology Push
  11. Case studies – Scenario Pull
Literature Hand out
Course L0176: Reliability in Engineering Dynamics
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 min.
Lecturer Prof. Uwe Weltin
Language EN
Cycle SoSe
Content

Method for calculation and testing of reliability of dynamic machine systems 

  • Modeling
  • System identification
  • Simulation
  • Processing of measurement data
  • Damage accumulation
  • Test planning and execution
Literature

Bertsche, B.: Reliability in Automotive and Mechanical Engineering. Springer, 2008. ISBN: 978-3-540-33969-4

Inman, Daniel J.: Engineering Vibration. Prentice Hall, 3rd Ed., 2007. ISBN-13: 978-0132281737

Dresig, H., Holzweißig, F.: Maschinendynamik, Springer Verlag, 9. Auflage, 2009. ISBN 3540876936.

VDA (Hg.): Zuverlässigkeitssicherung bei Automobilherstellern und Lieferanten. Band 3 Teil 2, 3. überarbeitete Auflage, 2004. ISSN 0943-9412

Course L1303: Reliability in Engineering Dynamics
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Examination Form Klausur
Examination duration and scale 90 min
Lecturer Prof. Uwe Weltin
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L1554: Reliability of avionics assemblies
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Prof. Ralf God
Language DE
Cycle SoSe
Content

The objective of the lecture with the corresponding exercise is the acquisition of knowledge for development, electronic packaging technology and the production of electronic components for safety-critical applications. On an item, component and system level it is shown, how the specified safety objectives for electronics in aircraft can be achieved. Current challenges, such as availability of components, component counterfeiting and the use of components off-the-shelf (COTS) will be discussed:
• Survey of the role of electronics in aviation 
• System levels: From silicon to mechatronic systems 
• Semiconductor components, assemblies, systems 
• Challenges of electronic packaging technology (AVT) 
• System integration in electronics: Requirements for AVT 
• Methods and techniques of AVT 
• Error patterns for assemblies and avoidance of errors 
• Reliability analysis for printed circuit boards (PCBs)
• Reliability of Avionics 
• COTS, ROTS, MOTS and the F3I concept 
• Future challenges for electronics

Literature

- Skript zur Vorlesung

Hanke, H.-J.: Baugruppentechnologie der Elektronik. Leiterplatten. Verlag Technik, 1994

Scheel, W.: Baugruppentechnologie der Elektronik.

Montage. Verlag Technik, 1999


Course L1555: Reliability of avionics assemblies
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Prof. Ralf God
Language DE
Cycle SoSe
Content

The objective of the lecture with the corresponding exercise is the acquisition of knowledge for development, electronic packaging technology and the production of electronic components for safety-critical applications. On an item, component and system level it is shown, how the specified safety objectives for electronics in aircraft can be achieved. Current challenges, such as availability of components, component counterfeiting and the use of components off-the-shelf (COTS) will be discussed:
• Survey of the role of electronics in aviation 
• System levels: From silicon to mechatronic systems 
• Semiconductor components, assemblies, systems 
• Challenges of electronic packaging technology (AVT) 
• System integration in electronics: Requirements for AVT 
• Methods and techniques of AVT 
• Error patterns for assemblies and avoidance of errors 
• Reliability analysis for printed circuit boards (PCBs)
• Reliability of Avionics 
• COTS, ROTS, MOTS and the F3I concept 
• Future challenges for electronics

Literature

- Skript zur Vorlesung

Hanke, H.-J.: Baugruppentechnologie der Elektronik. Leiterplatten. Verlag Technik, 1994

Scheel, W.: Baugruppentechnologie der Elektronik.

Montage. Verlag Technik, 1999

Course L0749: Reliability of Aircraft Systems
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Examination Form Klausur
Examination duration and scale 90 Minuten
Lecturer Prof. Frank Thielecke, Dr. Andreas Vahl, Dr. Uwe Wieczorek
Language DE
Cycle WiSe
Content
  • Functions of reliability and safety (regulations, certification requirements)
  • Basics methods of reliability analysis (FMEA, fault tree, functional hazard assessment)
  • Reliability analysis of electrical and mechanical systems


Literature
  • CS 25.1309
  • SAE ARP 4754
  • SAE ARP 4761

Module M0764: Aircraft Systems II

Courses
Title Typ Hrs/wk CP
Aircraft Systems II (L0736) Lecture 3 4
Aircraft Systems II (L0740) Recitation Section (large) 1 2
Module Responsible Prof. Frank Thielecke
Admission Requirements None
Recommended Previous Knowledge

basic knowledge of:

  • mathematics
  • mechanics
  • thermo dynamics
  • electronics
  • fluid technology
  • control technology
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students are able to…
  • describe the structure of primary flight control systems as well as actuation-, avionic-, fuel-  and landing gear-systems in general along with corresponding properties and applications.
  • explain different configurations  and designs and their origins
Skills Students are able to…
  • size primary flight control actuation systems
  • perform a controller design process for the flight control actuators
  • design high-lift kinematics
  • design and analyse landing gear systems
Personal Competence
Social Competence

Students are able to:

  • Develop joint solutions in mixed teams
Autonomy

Students are able to:

  • derive requirements and perform appropriate yet simplified design processes for aircraft systems from complex issues and circumstances in a self-reliant manner
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 165 Minutes
Assignment for the Following Curricula Aircraft Systems Engineering: Core qualification: Compulsory
International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L0736: Aircraft Systems II
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Frank Thielecke
Language DE
Cycle SoSe
Content
  • Actuation (Principles of actuators; electro-mechanical actuators; modeling, analysis and sizing of position control systems; hydro-mechanic actuation systems)
  • Flight Control Systems (control surfaces, hinge moments; requirements of stability and controllability, actuation power; principles of reversible and irreversible flight control systems; servo actuation systems)
  • Landing Gear Systems (Configurations and geometries; analysis of landing gear systems with respect to damper dynamics, dynamics of the breaking aircraft and power consumption; design and analysis of breaking systems with respect to energy and heat; anti-skit systems)
  • Fuel Systems (Architectures; aviation fuels; system components; fueling system; tank inerting system; fuel management; trim tank)


Literature
  • Moir, Seabridge: Aircraft Systems
  • Torenbek: Synthesis of Subsonic Airplane Design
  • Curry: Aircraft Landing Gear Design: Principles and Practices


Course L0740: Aircraft Systems II
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Frank Thielecke
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 138, Study Time in Lecture 42
Credit points 6
Examination according to Subject Specific Regulations
Examination duration and scale
Assignment for the Following Curricula Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory

Module M0771: Flight Physics

Courses
Title Typ Hrs/wk CP
Aerodynamics and Flight Mechanics I (L0727) Lecture 3 3
Flight Mechanics II (L0730) Lecture 2 2
Flight Mechanics II (L0731) Recitation Section (large) 1 1
Module Responsible Prof. Frank Thielecke
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge in:

  • Mathematics
  • Mechanics
  • Thermodynamics
  • Aviation
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Examination Written exam
Examination duration and scale 120 Minutes (WS) + 90 Minutes (SS)
Assignment for the Following Curricula Aircraft Systems Engineering: Core qualification: Compulsory
International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Course L0727: Aerodynamics and Flight Mechanics I
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Klaus-Uwe Hahn, Dr. Ralf Heinrich
Language DE
Cycle WiSe
Content
  • Aerodynamics (fundamental equations of aerodynamics; compressible and incompressible flows; airfoils and wings; viscous flows)
  • Flight Mechanics (Equations of motion; flight performance; control surfaces; derivatives; lateral stability and control; trim conditions; flight maneuvers)


Literature
  • Schlichting, H.; Truckenbrodt, E.: Aerodynamik des Flugzeuges I und II
  • Etkin, B.: Dynamics of Atmospheric Flight
  • Sachs/Hafer: Flugmechanik
  • Brockhaus: Flugregelung
  • J.D. Anderson: Introduction to flight


Course L0730: Flight Mechanics II
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Klaus-Uwe Hahn, Dr. Gerko Wende
Language DE
Cycle SoSe
Content
  • stationary asymmetric flight
  • dynamics of lateral movement
  • methods of flight simulation
  • eyperimental methods of flight mechanics
  • model validation using system identification
  • wind tunnel techniques

Literature
  • Schlichting, H.; Truckenbrodt, E.: Aerodynamik des Flugzeuges I und II
  • Etkin, B.: Dynamics of Atmospheric Flight
  • Sachs/Hafer: Flugmechanik
  • Brockhaus: Flugregelung
  • J.D. Anderson: Introduction to flight




Course L0731: Flight Mechanics II
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Klaus-Uwe Hahn, Dr. Gerko Wende
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1032: Airport Planning and Operations

Courses
Title Typ Hrs/wk CP
Airport Operations (L1276) Lecture 3 3
Airport Planning (L1275) Lecture 2 2
Airport Planning (L1469) Recitation Section (small) 1 1
Module Responsible Prof. Volker Gollnick
Admission Requirements None
Recommended Previous Knowledge
  • Bachelor Mech. Eng.
  • Vordiplom Mech. Eng.
  • Lecture Air Transportation Systems
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  1. Regulatory principles of airport planning and operations
  2. Design of an airport incl. Regulatory baselines
  3. Airport operation in the terminal and at the airfield
Skills
  • Understanding of different interdisciplinary interdependencies
  • Planning and design of an airport
  • Modelling and assessment of airport operation
Personal Competence
Social Competence
  • Working in interdisciplinary teams
  • Communication
Autonomy

Organization of workflows and -strategies

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula Aircraft Systems Engineering: Specialisation Air Transportation Systems: Elective Compulsory
Aircraft Systems Engineering: Specialisation Cabin Systems: Elective Compulsory
International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory
Logistics, Infrastructure and Mobility: Specialisation Infrastructure and Mobility: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L1276: Airport Operations
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Volker Gollnick, Axel Christian Husfeldt
Language DE
Cycle WiSe
Content FA-F Flight Operations Flight Operations - Production Infrastructures Operations Planning Master plan Airport capacity Ground handling Terminal operations
Literature Richard de Neufville, Amedeo Odoni: Airport Systems, McGraw Hill, 2003
Course L1275: Airport Planning
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Volker Gollnick
Language DE
Cycle WiSe
Content
  1. Introduction, definitions, overviewg
  2. Runway systems
  3. Air space strucutres around airports
  4. Airfield lightings, marking and information
  5. Airfield and terminal configuration
Literature

N. Ashford, Martin Stanton, Clifton Moore: Airport Operations, John Wiley & Sons, 1991

Richard de Neufville, Amedeo Odoni: Airport Systems, Aviation Week Books, MacGraw Hill, 2003


Course L1469: Airport Planning
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Volker Gollnick
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1155: Aircraft Cabin Systems

Courses
Title Typ Hrs/wk CP
Aircraft Cabin Systems (L1545) Lecture 3 4
Aircraft Cabin Systems (L1546) Recitation Section (large) 1 2
Module Responsible Prof. Ralf God
Admission Requirements

None

Recommended Previous Knowledge

Basic knowledge in:
• Mathematics
• Mechanics
• Thermodynamics
• Electrical Engineering
• Control Systems

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to:
• describe cabin operations, equipment in the cabin and cabin Systems
• explain the functional and non-functional requirements for cabin Systems
• elucidate the necessity of cabin operating systems and emergency Systems
• assess the challenges human factors integration in a cabin environment

Skills

Students are able to:
• design a cabin layout for a given business model of an Airline
• design cabin systems for safe operations
• design emergency systems for safe man-machine interaction
• solve comfort needs and entertainment requirements in the cabin

Personal Competence
Social Competence

Students are able to:
• understand existing system solutions and discuss their ideas with experts

Autonomy

Students are able to:
• Reflect the contents of lectures and expert presentations self-dependent

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 120 Minutes
Assignment for the Following Curricula Energy Systems: Specialisation Energy Systems: Elective Compulsory
Aircraft Systems Engineering: Core qualification: Compulsory
International Management and Engineering: Specialisation II. Aviation Systems: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L1545: Aircraft Cabin Systems
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Ralf God
Language DE
Cycle WiSe
Content

The objective of the lecture with the corresponding exercise is the acquisition of knowledge about aircraft cabin systems and cabin operations. A basic understanding of technological and systems engineering effort to maintain an artificial but comfortable and safe travel and working environment at cruising altitude is to be achieved.

The course provides a comprehensive overview of current technology and cabin systems in modern passenger aircraft. The Fulfillment of requirements for the cabin as the central system of work are covered on the basis of the topics comfort, ergonomics, human factors, operational processes, maintenance and energy supply:
• Materials used in the cabin
• Ergonomics and human factors
• Cabin interior and non-electrical systems
• Cabin electrical systems and lights
• Cabin electronics, communication-, information- and IFE-systems
• Cabin and passenger process chains
• RFID Aircraft Parts Marking
• Energy sources and energy conversion

Literature

- Skript zur Vorlesung
- Jenkinson, L.R., Simpkin, P., Rhodes, D.: Civil Jet Aircraft Design. London: Arnold, 1999
- Rossow, C.-C., Wolf, K., Horst, P. (Hrsg.): Handbuch der Luftfahrzeugtechnik. Carl Hanser Verlag, 2014
- Moir, I., Seabridge, A.: Aircraft Systems: Mechanical, Electrical and Avionics Subsystems Integration, Wiley 2008
- Davies, M.: The standard handbook for aeronautical and astronautical engineers. McGraw-Hill, 2003
- Kompendium der Flugmedizin. Verbesserte und ergänzte Neuauflage, Nachdruck April 2006. Fürstenfeldbruck, 2006
- Campbell, F.C.: Manufacturing Technology for Aerospace Structural Materials. Elsevier Ltd., 2006

Course L1546: Aircraft Cabin Systems
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Ralf God
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Specialization Maritime Technology

At the center of the specialization Maritime Techniques lies the acquisition of knowledge and skills to develop, calculate and evaluate shipboard and offshore structures and their components. This is done in modules on the topics of marine engine systems, marine auxiliary systems, ship vibrations, maritime technology and maritime systems, port construction and port planning, port logistics, maritime transport and marine geotechnics and numerics in electives. In addition, subjects in the Technical Supplement Course for TMBMS (according FSPO) are freely selectable.

Module M1157: Marine Auxiliaries

Courses
Title Typ Hrs/wk CP
Electrical Installation on Ships (L1531) Lecture 2 2
Electrical Installation on Ships (L1532) Recitation Section (large) 1 1
Auxiliary Systems on Board of Ships (L1249) Lecture 2 2
Auxiliary Systems on Board of Ships (L1250) Recitation Section (large) 1 1
Module Responsible Prof. Christopher Friedrich Wirz
Admission Requirements
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to

  • name the operating behaviour of consumers,
  • describe special requirements on the design of supply networks and to the electrical equipment in isolated networks, as e.g. onboard ships, offshore units, factories and emergency power supply systems,
  • explain power generation and distribution in isolated grids, wave generator systems on ships,
  • name requirements for network protection, selectivity and operational monitoring,
  • name the requirements regarding marine equipment and apply to product development, as well as
  • describe operating procedures of equipment components of standard and specialized ships and derive requirements for product development.
Skills

Students are able to

• calculate short-circuit currents, switchgear,

• design electrical propulsion systems for ships

• design additional machinery components, as well as

• to apply basic principles of hydraulics and to develop hydraulic systems.

Personal Competence
Social Competence

The students are able to communicate and cooperate in a professional environment in the shipbuilding and component supply industry.

Autonomy

The widespread scope of gained knowledge enables the students to handle situations in their future profession independently and confidently.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Examination Oral exam
Examination duration and scale 20 min
Assignment for the Following Curricula Naval Architecture and Ocean Engineering: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L1531: Electrical Installation on Ships
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Günter Ackermann
Language DE
Cycle WiSe
Content
  • performance in service of electrical consumers.
  • special requirements for power supply systems and for electrical equipment in isolated systems/networks e. g. aboard ships, offshore installations, factory systems and emergency power supply systems.
  • power generation and distribution in isolated networks, shaft generators for ships
  • calculation of short circuits and behaviour of switching devices
  • protective devices, selectivity monitoring
  • electrical Propulsion plants for ships
Literature

H. Meier-Peter, F. Bernhardt u. a.: Handbuch der Schiffsbetriebstechnik, Seehafen Verlag

(engl. Version: "Compendium Marine Engineering")

Gleß, Thamm: Schiffselektrotechnik, VEB Verlag Technik Berlin

Course L1532: Electrical Installation on Ships
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Günter Ackermann
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1249: Auxiliary Systems on Board of Ships
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Christopher Friedrich Wirz
Language DE
Cycle SoSe
Content
  • Vorschriften zur Schiffsausrüstung
  • Ausrüstungsanlagen auf Standard-Schiffen
  • Ausrüstungsanlagen auf Spezial-Schiffen
  • Grundlagen und Systemtechnik der Hydraulik
  • Auslegung und Betrieb von Ausrüstungsanlagen
Literature
  • H. Meyer-Peter, F. Bernhardt: Handbuch der Schiffsbetriebstechnik
  • H. Watter: Hydraulik und Pneumatik
Course L1250: Auxiliary Systems on Board of Ships
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Christopher Friedrich Wirz
Language DE
Cycle SoSe
Content
Literature

Siehe korrespondierende Vorlesung 




Module M1177: Maritime Technology and Maritime Systems

Courses
Title Typ Hrs/wk CP
Analysis of Maritime Systems (L0068) Lecture 2 2
Analysis of Maritime Systems (L0069) Recitation Section (small) 1 1
Introduction to Maritime Technology (L0070) Lecture 2 2
Introduction to Maritime Technology (L1614) Recitation Section (small) 1 1
Module Responsible Prof. Moustafa Abdel-Maksoud
Admission Requirements None
Recommended Previous Knowledge

Solid knowledge and competences in mechanics, fluid dynamics and analysis (series, periodic functions, continuity, differentiability, integration, multiple variables, ordinaray and partial differential equations, boundary value problems, initial conditions and eigenvalue problems).


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After successful completion of this class, students should have an overview about phenomena and methods in ocean engineering and the ability to apply and extend the methods presented.

In detail, the students should be able to

  • describe the different aspects and topics in Maritime Technology,
  • apply existing methods to problems in Maritime Technology,
  • discuss limitations in present day approaches and perspectives in the future,
  • Techniques for the analysis of offshore systems,
  • Modeling and evaluation of dynamic systems,
  • System-oriented thinking, decomposition of complex systems.
Skills The students learn the ability of apply and transfer existing methods and techniques on novel questions in maritime technologies. Furthermore, limits of the existing knowledge and future developments will be discussed.
Personal Competence
Social Competence

The processing of an exercise in a group of up to four students shall strengthen the communication and team-working skills and thus promote an important working technicque of subsequent working days. The collaboration has to be illustrated in a community presentation of the results.


Autonomy

The course contents are absorbed in an exercise work in a group and individually checked in a final exam in which a self-reflection of the learned is expected without tools.

Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula Naval Architecture and Ocean Engineering: Core qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L0068: Analysis of Maritime Systems
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Moustafa Abdel-Maksoud, Dr. Alexander Mitzlaff
Language DE
Cycle SoSe
Content
  1. Hydrostatic analysis
    • Buoyancy,
    • Stability,
  2. Hydrodynamic analysis
    • Froude-Krylov force
    • Morison's equation,
    • Radiation and diffraction
    • transparent/compact structures
  3. Evaluation of offshore structures: Reliability techniques (security, reliability, disposability)
    • Short-term statistics
    • Long-term statistics and extreme events
Literature
  • G. Clauss, E. Lehmann, C. Östergaard. Offshore Structures Volume I: Conceptual Design and Hydrodynamics. Springer Verlag Berlin, 1992
  • E. V. Lewis (Editor), Principles of Naval Architecture ,SNAME, 1988
  • Journal of Offshore Mechanics and Arctic Engineering
  • Proceedings of International Conference on Offshore Mechanics and Arctic Engineering
  • S. Chakrabarti (Ed.), Handbook of Offshore Engineering, Volumes 1-2, Elsevier, 2005
  • S. K. Chakrabarti, Hydrodynamics of Offshore Structures , WIT Press, 2001


Course L0069: Analysis of Maritime Systems
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Moustafa Abdel-Maksoud, Dr. Volker Müller
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0070: Introduction to Maritime Technology
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Sven Hoog
Language DE
Cycle WiSe
Content

1. Introduction

  • Ocean Engineering and Marine Research
  • The potentials of the seas
  • Industries and occupational structures

2. Coastal and offshore Environmental Conditions

  • Physical and chemical properties of sea water and sea ice
  • Flows, waves, wind, ice
  • Biosphere

3. Response behavior of Technical Structures

4. Maritime Systems and Technologies

  • General Design and Installation of Offshore-Structures
  • Geophysical and Geotechnical Aspects
  • Fixed and Floating Platforms
  • Mooring Systems, Risers, Pipelines
  • Energy conversion: Wind, Waves, Tides
Literature
  • Chakrabarti, S., Handbook of Offshore Engineering, vol. I/II, Elsevier 2005.
  • Gerwick, B.C., Construction of Marine and Offshore Structures, CRC-Press 1999.
  • Wagner, P., Meerestechnik, Ernst&Sohn 1990.
  • Clauss, G., Meerestechnische Konstruktionen, Springer 1988.
  • Knauss, J.A., Introduction to Physical Oceanography, Waveland 2005.
  • Wright, J. et al., Waves, Tides and Shallow-Water Processes, Butterworth 2006.
  • Faltinsen, O.M., Sea Loads on Ships and Offshore Structures, Cambridge 1999.
Course L1614: Introduction to Maritime Technology
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dr. Sven Hoog
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0663: Marine Geotechnics and Numerics

Courses
Title Typ Hrs/wk CP
Marine Geotechnics (L0548) Lecture 1 2
Marine Geotechnics (L0549) Recitation Section (large) 1 1
Numerical Methods in Geotechnics (L0375) Lecture 3 3
Module Responsible Prof. Jürgen Grabe
Admission Requirements none
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Civil Engineering: Specialisation Coastal Engineering: Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L0548: Marine Geotechnics
Typ Lecture
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Jürgen Grabe
Language DE
Cycle SoSe
Content
  • Geotechnical investigation an description of the seabed
  • Foundations of Offshore-Constructions
  • cCliff erosion
  • Sea dikes
  • Port structures
  • Flood protection structures
Literature
  • EAK (2002): Empfehlungen für Küstenschutzbauwerke
  • EAU (2004): Empfehlungen des Arbeitsausschusses Uferbauwerke
  • Poulos H.G. (1988): Marine Geotechnics. Unwin Hyman, London
  • Wagner P. (1990): Meerestechnik: Eine Einführung für Bauingenieure. Ernst & Sohn, Berlin
Course L0549: Marine Geotechnics
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Jürgen Grabe
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0375: Numerical Methods in Geotechnics
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Dr. Hans Mathäus Hügel
Language DE
Cycle SoSe
Content

Topics:

  • numerical simulations
  • numerical algorithms
  • finite element method
  • application of finite element method in geomechanics
  • constitutive models for soils
  • contact models for soil structure interaction
  • selected applications
Literature
  • Wriggers P. (2001): Nichtlineare Finite-Elemente-Methoden, Springer Verlag, Berlin
  • Bathe Klaus-Jürgen (2002): Finite-Elemente-Methoden. Springer Verlag, Berlin

Module M0860: Habour Engineering and Habour Planning

Courses
Title Typ Hrs/wk CP
Habour Engineering (L0809) Lecture 2 2
Habour Engineering (L1414) Problem-based Learning 1 2
Port Planning and Port Construction (L0378) Lecture 2 2
Module Responsible Prof. Peter Fröhle
Admission Requirements none
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to define in details and to choose design approaches for the functional design of a port and apply them to design tasks. They can design the fundamental elements of a port.

Skills

The students are able to select and apply appropriate approaches for the functional design of ports.

Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Examination Written exam
Examination duration and scale The duration of the examination is 150 min. The examination includes tasks with respect to the general understanding of the lecture contents and calculations tasks.
Assignment for the Following Curricula Civil Engineering: Specialisation Structural Engineering: Elective Compulsory
Civil Engineering: Specialisation Geotechnical Engineering: Elective Compulsory
Civil Engineering: Specialisation Coastal Engineering: Compulsory
International Management and Engineering: Specialisation II. Civil Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L0809: Habour Engineering
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Peter Fröhle
Language DE
Cycle SoSe
Content
  • Fundamentals of harbor engineering
    • Maritime transportation and waterways engineering
    • Ships
  • Elements of harbors
    • Harbor approaches and water-side harbor areas
    • Terminal design and handling of cargo
    • Quay-walls and piers
    • Equipment of harbors
    • Sluices and other special constructions
  • Connection to inland transportation / inland waterway transportation
  • Protection of harbors
    • Breakwaters and Jetties
    • Wave protection of harbors
  • Fishery and other small harbors


Literature Brinkmann, B.: Seehäfen, Springer 2005
Course L1414: Habour Engineering
Typ Problem-based Learning
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Peter Fröhle
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0378: Port Planning and Port Construction
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Frank Feindt
Language DE
Cycle SoSe
Content
  • Planning and implementation of major projects
  • Market analysis and traffic relations
  • Planning process and plan 
  • Port planning in urban neighborhood
  • Development of the logistics center "Port of Hamburg" in the metropolis
  • Quays and waterfront structure
  • Special planning Law Harbor - securing of a flexible use of the port
  • Dimensioning of quays
  • Flood protection structures
  • Port of Hamburg - Infrastructure and development
  • Preparation of areas
  • Scour formation in front of shore structures
Literature Vorlesungsumdruck, s. www.tu-harburg.de/gbt

Module M1021: Marine Diesel Engine Plants

Courses
Title Typ Hrs/wk CP
Marine Diesel Engine Plants (L0637) Lecture 3 4
Marine Diesel Engine Plants (L0638) Recitation Section (large) 1 2
Module Responsible Prof. Christopher Friedrich Wirz
Admission Requirements
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can

• explain different types four / two-stroke engines and assign types to given engines,

• name definitions and characteristics, as well as

• elaborate on special features of the heavy oil operation, lubrication and cooling.

Skills

Students can

• evaluate the interaction of ship, engine and propeller,

• use relationships between gas exchange, flushing, air demand, charge injection and combustion for the design of systems,

• design waste heat recovery, starting systems, controls, automation, foundation and design machinery spaces , and

• apply evaluation methods for excited motor noise and vibration.

Personal Competence
Social Competence

The students are able to communicate and cooperate in a professional environment in the shipbuilding and component supply industry. 

Autonomy

The widespread scope of gained knowledge enables the students to handle situations in their future profession independently and confidently.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale
Assignment for the Following Curricula Energy Systems: Specialisation Energy Systems: Elective Compulsory
Energy Systems: Specialisation Marine Engineering: Compulsory
Naval Architecture and Ocean Engineering: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L0637: Marine Diesel Engine Plants
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Christopher Friedrich Wirz
Language DE
Cycle SoSe
Content
  • Historischer Überblick
  • Bauarten von Vier- und Zweitaktmotoren als Schiffsmotoren
  • Vergleichsprozesse, Definitionen, Kenndaten
  • Zusammenwirken von Schiff, Motor und Propeller
  • Ausgeführte Schiffsdieselmotoren
  • Gaswechsel, Spülverfahren, Luftbedarf
  • Aufladung von Schiffsdieselmotoren
  • Einspritzung und Verbrennung
  • Schwerölbetrieb
  • Schmierung
  • Kühlung
  • Wärmebilanz
  • Abwärmenutzung
  • Anlassen und Umsteuern
  • Regelung, Automatisierung, Überwachung
  • Motorerregte Geräusche und Schwingungen
  • Fundamentierung
  • Gestaltung von Maschinenräumen
Literature
  • D. Woodyard: Pounder’s Marine Diesel Engines
  • H. Meyer-Peter, F. Bernhardt: Handbuch der Schiffsbetriebstechnik
  • K. Kuiken: Diesel Engines
  • Mollenhauer, Tschöke: Handbuch Dieselmotoren
  • Projektierungsunterlagen der Motorenhersteller
Course L0638: Marine Diesel Engine Plants
Typ Recitation Section (large)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Christopher Friedrich Wirz
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1132: Maritime Transport

Courses
Title Typ Hrs/wk CP
Maritime Transport (L0063) Lecture 2 3
Maritime Transport (L0064) Recitation Section (small) 2 3
Module Responsible Prof. Carlos Jahn
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to…

  • name different players involved in the maritime transport chain and their typical tasks;
  • name common types of cargo and classify cargo to the corresponding categories;
  • name and explain operation modes of maritime shipping, transportation options and management of maritime networks;
  • illustrate main trade routes, straits (existing and possible in the future);
  • name and discuss relevant factors for port / seaport terminal location planning.


Skills

The students are able to...

  • define transportation modes, players involved and their functions in a maritime transportation network;
  • identify possible cost drivers in a maritime transport chain and suggest possible reduction measures;
  • identify, analyse, model and suggest optimisation measures regarding material and information flows within a maritime logistics chain.


Personal Competence
Social Competence

The students are able to...

  • discuss and organise extensive work packages in groups;
  • document and present the elaborated results.
Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 120 minutes
Assignment for the Following Curricula International Management and Engineering: Specialisation II. Logistics: Elective Compulsory
Logistics, Infrastructure and Mobility: Specialisation Production and Logistics: Elective Compulsory
Logistics, Infrastructure and Mobility: Specialisation Infrastructure and Mobility: Elective Compulsory
Renewable Energies: Specialisation Wind energy: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L0063: Maritime Transport
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Carlos Jahn
Language DE
Cycle SoSe
Content

The lecture aims to provide detailed knowledge about maritime transportation and to describe its main challenges and functions. In this context, conventional and current problems are dealt with. All actors of a maritime transport chain are considered during the lecture. In this context, ports, vessels and sea routes are analysed and discussed in details. Conventional problems, planning tasks and current subjects, e. g. Green Logistics, are also part of the lecture.



Literature
  • Brinkmann, Birgitt. Seehäfen: Planung und Entwurf. Berlin Heidelberg: Springer-Verlag, 2005.
  • Schönknecht, Axel. Maritime Containerlogistik: Leistungsvergleich von Containerschiffen in intermodalen Transportketten. Berlin Heidelberg: Springer-Verlag, 2009.
  • Stopford, Martin. Maritime Economics Routledge, 2009
Course L0064: Maritime Transport
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Carlos Jahn
Language DE
Cycle SoSe
Content

The exercise lesson bases on the haptic management game MARITIME. MARITIME focuses on providing knowledge about structures and processes in a maritime transport network. Furthermore, the management game systematically provides process management methodology and also promotes personal skills of the participants.


Literature
  • Brinkmann, Birgitt. Seehäfen: Planung und Entwurf. Berlin Heidelberg: Springer-Verlag, 2005.


Module M1133: Port Logistics

Courses
Title Typ Hrs/wk CP
Port Logistics (L0686) Lecture 2 3
Port Logistics (L1473) Recitation Section (small) 2 3
Module Responsible Prof. Carlos Jahn
Admission Requirements None
Recommended Previous Knowledge

none

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to…

  • describe the historical port development (regarding port functions, port terminals and the corresponding operating models) and consider these facts in the historical contest;
  • explain different types of seaport terminals and their typical characteristics (type of cargo, handling and transportation equipment, functional areas);
  • name typical planning and scheduling tasks (e. g. berth planning, stowage planning, yard planning) as well as corresponding approaches (methods and tools) for performing these tasks in seaport terminals;
  • name and discuss trends regarding planning and scheduling in innovative seaport terminals.


Skills

The students are able to…

  • recognise functional areas within seaports and within seaport terminals;
  • define and assess possible operation systems for a container terminal;
  • conduct static calculations of container terminals regarding capacity requirements based on given conditions;
  • reliably estimate how certain conditions effect typical logistics metrics in the context of the static planning process of selected seaport terminals.


Personal Competence
Social Competence

The students are able to…

  • discuss and organise extensive work packages in groups;
  • document and present the elaborated results.


Autonomy
The students are able to
•	research and select technical literature as well as norms and guidelines
•	to hand in on time and to present an own share of a considerable written scientific work which was compiled in a small team        together with other students
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 120 minutes
Assignment for the Following Curricula International Management and Engineering: Specialisation II. Logistics: Elective Compulsory
Logistics, Infrastructure and Mobility: Specialisation Production and Logistics: Elective Compulsory
Logistics, Infrastructure and Mobility: Specialisation Infrastructure and Mobility: Elective Compulsory
Renewable Energies: Specialisation Wind energy: Elective Compulsory
Naval Architecture and Ocean Engineering: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Course L0686: Port Logistics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Carlos Jahn
Language DE
Cycle SoSe
Content

The outstanding role of maritime transport for international trade requires efficient ports. These must meet numerous requirements in terms of profitability, speed, safety and environment. Recognising this, port logistics contains the planning, management, operation and control of material flows and the corresponding information flows in the system and its interfaces to several actors within and outside the port area. The course “Port Logistics” aims to provide skills to comprehend structures and processes in ports. It focuses on different terminal types, their characteristic layouts, the technical equipment which is used and the interaction between the actors.

Literature
  • Brinkmann, Birgitt. Seehäfen: Planung und Entwurf. Berlin Heidelberg: Springer-Verlag, 2005.


Course L1473: Port Logistics
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Carlos Jahn
Language DE
Cycle SoSe
Content

The exercise lesson focuses on analytical tasks in the field of terminal planning. During the exercise lesson, the students work in small groups on designing terminal layouts under consideration of given conditions. The calculated logistics metrics, respectively the corresponding terminal layouts must be illustrated in 2D and 3D using special planning software.


Literature
  • Brinkmann, Birgitt. Seehäfen: Planung und Entwurf. Berlin Heidelberg: Springer-Verlag, 2005.

Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge see FSPO
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge see FSPO
Skills see FSPO
Personal Competence
Social Competence see FSPO
Autonomy see FSPO
Workload in Hours Independent Study Time 180, Study Time in Lecture 0
Credit points 6
Examination according to Subject Specific Regulations
Examination duration and scale
Assignment for the Following Curricula Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory

Module M1146: Ship Vibration

Courses
Title Typ Hrs/wk CP
Ship Vibration (L1528) Lecture 2 3
Ship Vibration (L1529) Recitation Section (small) 2 3
Module Responsible Prof. Sören Ehlers
Admission Requirements None
Recommended Previous Knowledge

Mechanis I - III
Structural Analysis of Ships I
Fundamentals of Ship Structural Design

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can reproduce the acceptance criteria for vibrations on ships; they can explain the methods for the calculation of natural frequencies and forced vibrations of sructural components and the entire hull girder; they understand the effect of exciting forces of the propeller and main engine and methods for their determination

Skills

Students are capable to apply methods for the calculation of natural frequencies and exciting forces and resulting vibrations of ship structures including their assessment; they can model structures for the vibration analysis

Personal Competence
Social Competence

The students are able to communicate and cooperate in a professional environment in the shipbuilding and component supply industry. 

Autonomy

Students are able to detect vibration-prone components on ships, to model the structure, to select suitable calculation methods and to assess the results

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 3 hours
Assignment for the Following Curricula Energy Systems: Specialisation Marine Engineering: Elective Compulsory
Naval Architecture and Ocean Engineering: Core qualification: Compulsory
Ship and Offshore Technology: Core qualification: Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L1528: Ship Vibration
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sören Ehlers, Prof. Moustafa Abdel-Maksoud
Language EN
Cycle WiSe
Content

1. Introduction; assessment of vibrations
2. Basic equations
3. Beams with discrete / distributed masses
4. Complex beam systems
5. Vibration of plates and Grillages
6. Deformation method / practical hints / measurements
7. Hydrodynamic masses
8. Spectral method
9. Hydrodynamic masses acc. to Lewis
10. Damping
11. Shaft systems
12. Propeller excitation
13. Engines

Literature Siehe Vorlesungsskript
Course L1529: Ship Vibration
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sören Ehlers, Prof. Moustafa Abdel-Maksoud
Language EN
Cycle WiSe
Content

1. Introduction; assessment of vibrations
2. Basic equations
3. Beams with discrete / distributed masses
4. Complex beam systems
5. Vibration of plates and Grillages
6. Deformation method / practical hints / measurements
7. Hydrodynamic masses
8. Spectral method
9. Hydrodynamic masses acc. to Lewis
10. Damping
11. Shaft systems
12. Propeller excitation
13. Engines

Literature Siehe Vorlesungsskript

Specialization Numerics and Computer Science

The focus of the specialization „numerics and computer science“ is on the acquisition of in-depth knowledge and skills in engineering-related fields of computer science and numerical analysis. This is made possible by modules in the elective area on the topics distributed or efficient algorithms or algorithms of structural mechanics, process automation technology, digital image analysis, pattern recognition and data compression, approximation and stability, machine learning and data mining, matrix algorithms, Numerical Analysis and Real-Time Systems. This cross-sectional technologies are now largely anchored in modern research and development process of mechanical engineering systems established. In addition, subjects in the Technical Supplement Course for TMBMS (according FSPO) are freely selectable.

Module M0550: Digital Image Analysis

Courses
Title Typ Hrs/wk CP
Digital Image Analysis (L0126) Lecture 4 6
Module Responsible Prof. Rolf-Rainer Grigat
Admission Requirements
Recommended Previous Knowledge

System theory of one-dimensional signals (convolution and correlation, sampling theory, interpolation and decimation, Fourier transform, linear time-invariant systems), linear algebra (Eigenvalue decomposition, SVD), basic stochastics and statistics (expectation values, influence of sample size, correlation and covariance, normal distribution and its parameters), basics of Matlab, basics in optics

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can

  • Describe imaging processes
  • Depict the physics of sensorics
  • Explain linear and non-linear filtering of signals
  • Establish interdisciplinary connections in the subject area and arrange them in their context
  • Interpret effects of the most important classes of imaging sensors and displays using mathematical methods and physical models.


Skills

Students are able to

  • Use highly sophisticated methods and procedures of the subject area
  • Identify problems and develop and implement creative solutions.

Students can solve simple arithmetical problems relating to the specification and design of image processing and image analysis systems.

Students are able to assess different solution approaches in multidimensional decision-making areas.

Students can undertake a prototypical analysis of processes in Matlab.


Personal Competence
Social Competence


Autonomy

Students can solve image analysis tasks independently using the relevant literature.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 60 Minutes, Content of Lecture and materials in StudIP
Assignment for the Following Curricula Computer Science: Specialisation Intelligence Engineering: Elective Compulsory
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Electrical Engineering: Specialisation Medical Technology: Elective Compulsory
Computational Science and Engineering: Specialisation Systems Engineering: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Microelectronics and Microsystems: Specialisation Communication and Signal Processing: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Course L0126: Digital Image Analysis
Typ Lecture
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Rolf-Rainer Grigat
Language EN
Cycle WiSe
Content
  • Image representation, definition of images and volume data sets, illumination, radiometry, multispectral imaging, reflectivities, shape from shading
  • Perception of luminance and color, color spaces and transforms, color matching functions, human visual system, color appearance models
  • imaging sensors (CMOS, CCD, HDR, X-ray, IR), sensor characterization(EMVA1288), lenses and optics
  • spatio-temporal sampling (interpolation, decimation, aliasing, leakage, moiré, flicker, apertures)
  • features (filters, edge detection, morphology, invariance, statistical features, texture)
  • optical flow ( variational methods, quadratic optimization, Euler-Lagrange equations)
  • segmentation (distance, region growing, cluster analysis, active contours, level sets, energy minimization and graph cuts)
  • registration (distance and similarity, variational calculus, iterative closest points)
Literature

Bredies/Lorenz, Mathematische Bildverarbeitung, Vieweg, 2011
Wedel/Cremers, Stereo Scene Flow for 3D Motion Analysis, Springer 2011
Handels, Medizinische Bildverarbeitung, Vieweg, 2000
Pratt, Digital Image Processing, Wiley, 2001
Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1989

Module M0586: Efficient Algorithms

Courses
Title Typ Hrs/wk CP
Efficient Algorithms (L0120) Lecture 2 3
Efficient Algorithms (L1207) Recitation Section (small) 2 3
Module Responsible Prof. Siegfried Rump
Admission Requirements None
Recommended Previous Knowledge

Programming in Matlab and/or C

Basic knowledge in discrete mathematics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students are able to explain the basic theory and methods of network algorithms and in particular their data structures. They are able to analyze the computational behavior and computing time of linear programming algorithms as well network algorithms. Moreover the students can distinguish between efficiently solvable and NP-hard problems.

Skills

The students are able to analyze complex tasks and can determine possibilities to transform them into networking algorithms. In particular they can efficiently implement basic algorithms and data structures of LP- and network algorithms and identify possible weaknesses. They are able to distinguish between different efficient data structures and are able to use them appropriately.

Personal Competence
Social Competence

The students have the skills to solve problems together in small groups and to present the achieved results in an appropriate manner.

Autonomy

The students are able to retrieve necessary informations from the given literature and to combine them with the topics of the lecture. Throughout the lecture they can check their abilities and knowledge on the basis of given exercises and test questions providing an aid to optimize their learning process.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale 30 minutes
Assignment for the Following Curricula Computer Science: Core qualification: Elective Compulsory
Computational Science and Engineering: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Course L0120: Efficient Algorithms
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Siegfried Rump
Language DE
Cycle WiSe
Content

- Linear Programming

- Data structures

- Leftist heaps

- Minimum spanning tree

- Shortest path

- Maximum flow

- NP-hard problems via max-cut

Literature

R. E. Tarjan: Data Structures and Network Algorithms. CBMS 44, Society for Industrial and Applied Mathematics, Philadelphia, PA, 1983.

Wesley, 2011 http://algs4.cs.princeton.edu/home/

V. Chvátal, ``Linear Programming'', Freeman, New York, 1983.

Course L1207: Efficient Algorithms
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Siegfried Rump
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0633: Industrial Process Automation

Courses
Title Typ Hrs/wk CP
Industrial Process Automation (L0344) Lecture 2 3
Industrial Process Automation (L0345) Recitation Section (small) 2 3
Module Responsible Prof. Alexander Schlaefer
Admission Requirements None
Recommended Previous Knowledge

mathematics and optimization methods
principles of automata 
principles of algorithms and data structures
programming skills

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students can evaluate and assess disctrete event systems. They can evaluate properties of processes and explain methods for process analysis. The students can compare methods for process modelling and select an appropriate method for actual problems. They can discuss scheduling methods in the context of actual problems and give a detailed explanation of advantages and disadvantages of different programming methods.


Skills

The students are able to develop and model processes and evaluate them accordingly. This involves taking into account optimal scheduling, understanding algorithmic complexity and implementation using PLCs.

Personal Competence
Social Competence

The students work in teams to solve problems.


Autonomy

The students can reflect their knowledge and document the results of their work. 


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Chemical and Bioprocess Engineering: Specialisation General Process Engineering: Elective Compulsory
Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory
International Production Management: Specialisation Production Technology: Elective Compulsory
International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Process Engineering: Specialisation Chemical Process Engineering: Elective Compulsory
Process Engineering: Specialisation Process Engineering : Elective Compulsory
Course L0344: Industrial Process Automation
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Alexander Schlaefer
Language EN
Cycle WiSe
Content

- foundations of problem solving and system modeling, discrete event systems
- properties of processes, modeling using automat and Petri-nets
- design considerations for processes (mutex, deadlock avoidance, liveness)
- optimal scheduling for processes
- optimal decisions when planning manufacturing systems, decisions under uncertainty
- software design and software architectures for automation, PLCs

Literature

J. Lunze: „Automatisierungstechnik“, Oldenbourg Verlag, 2012
Reisig: Petrinetze: Modellierungstechnik, Analysemethoden, Fallstudien; Vieweg+Teubner 2010
Hrúz, Zhou: Modeling and Control of Discrete-event Dynamic Systems; Springer 2007
Li, Zhou: Deadlock Resolution in Automated Manufacturing Systems, Springer 2009
Pinedo: Planning and Scheduling in Manufacturing and Services, Springer 2009

Course L0345: Industrial Process Automation
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Alexander Schlaefer
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0926: Distributed Algorithms

Courses
Title Typ Hrs/wk CP
Distributed Algorithms (L1071) Lecture 2 3
Distributed Algorithms (L1072) Recitation Section (large) 2 3
Module Responsible Prof. Volker Turau
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students know the main abstractions of distributed algorithms (synchronous/asynchronous model, message passing and shared memory model). They are able to describe complexity measures for distributed algorithms (round , message and memory complexity). They explain well known distributed algorithms for important problems such as leader election, mutual exclusion, graph coloring, spanning trees. They know the fundamental techniques used for randomized algorithms.
Skills Students design their own distributed algorithms and analyze their complexity. They make use of known standard algorithms. They compute the complexity of randomized algorithms.
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale
Assignment for the Following Curricula Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory
Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Course L1071: Distributed Algorithms
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Volker Turau
Language DE/EN
Cycle WiSe
Content
  • Leader Election
  • Colorings & Independent Sets
  • Tree Algorithms
  • Minimal Spanning Trees
  • Randomized Distributed Algorithms
  • Mutual Exclusion
Literature
  1. David Peleg: Distributed Computing - A Locality-Sensitive Approach. SIAM Monograph, 2000

  2. Gerard Tel: Introduction to Distributed Algorithms, Cambridge University Press, 2nd edition, 2000
  3. Nancy Lynch: Distributed Algorithms. Morgan Kaufmann, 1996
  4. Volker Turau: Algorithmische Graphentheorie. Oldenbourg Wissenschaftsverlag, 3. Auflage, 2004.


Course L1072: Distributed Algorithms
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Volker Turau
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0551: Pattern Recognition and Data Compression

Courses
Title Typ Hrs/wk CP
Pattern Recognition and Data Compression (L0128) Lecture 4 6
Module Responsible Prof. Rolf-Rainer Grigat
Admission Requirements
Recommended Previous Knowledge

Linear algebra (including PCA, unitary transforms), stochastics and statistics, binary arithmetics

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can name the basic concepts of pattern recognition and data compression.

Students are able to discuss logical connections between the concepts covered in the course and to explain them by means of examples.


Skills

Students can apply statistical methods to classification problems in pattern recognition and to prediction in data compression. On a sound theoretical and methodical basis they can analyze characteristic value assignments and classifications and describe data compression and video signal coding. They are able to use highly sophisticated methods and processes of the subject area. Students are capable of assessing different solution approaches in multidimensional decision-making areas.



Personal Competence
Social Competence
Autonomy

Students are capable of identifying problems independently and of solving them scientifically, using the methods they have learnt.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 60 Minutes, Content of Lecture and materials in StudIP
Assignment for the Following Curricula Computer Science: Specialisation Intelligence Engineering: Elective Compulsory
Electrical Engineering: Specialisation Information and Communication Systems: Elective Compulsory
Computational Science and Engineering: Specialisation Systems Engineering: Elective Compulsory
Information and Communication Systems: Specialisation Communication Systems, Focus Signal Processing: Elective Compulsory
Information and Communication Systems: Specialisation Secure and Dependable IT Systems, Focus Software and Signal Processing: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Course L0128: Pattern Recognition and Data Compression
Typ Lecture
Hrs/wk 4
CP 6
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Lecturer Prof. Rolf-Rainer Grigat
Language EN
Cycle SoSe
Content

Structure of a pattern recognition system, statistical decision theory, classification based on statistical models, polynomial regression, dimension reduction, multilayer perceptron regression, radial basis functions, support vector machines, unsupervised learning and clustering, algorithm-independent machine learning, mixture models and EM, adaptive basis function models and boosting, Markov random fields

Information, entropy, redundancy, mutual information, Markov processes, basic coding schemes (code length, run length coding, prefix-free codes), entropy coding (Huffman, arithmetic coding), dictionary coding (LZ77/Deflate/LZMA2, LZ78/LZW), prediction, DPCM, CALIC, quantization (scalar and vector quantization), transform coding, prediction, decorrelation (DPCM, DCT, hybrid DCT, JPEG, JPEG-LS), motion estimation, subband coding, wavelets, HEVC (H.265,MPEG-H)

Literature

Schürmann: Pattern Classification, Wiley 1996
Murphy, Machine Learning, MIT Press, 2012
Barber, Bayesian Reasoning and Machine Learning, Cambridge, 2012
Duda, Hart, Stork: Pattern Classification, Wiley, 2001
Bishop: Pattern Recognition and Machine Learning, Springer 2006

Salomon, Data Compression, the Complete Reference, Springer, 2000
Sayood, Introduction to Data Compression, Morgan Kaufmann, 2006
Ohm, Multimedia Communication Technology, Springer, 2004
Solari, Digital video and audio compression, McGraw-Hill, 1997
Tekalp, Digital Video Processing, Prentice Hall, 1995

Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 138, Study Time in Lecture 42
Credit points 6
Examination according to Subject Specific Regulations
Examination duration and scale
Assignment for the Following Curricula Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory

Module M0606: Numerical Algorithms in Structural Mechanics

Courses
Title Typ Hrs/wk CP
Numerical Algorithms in Structural Mechanics (L0284) Lecture 2 3
Numerical Algorithms in Structural Mechanics (L0285) Recitation Section (small) 2 3
Module Responsible Prof. Alexander Düster
Admission Requirements

None

Recommended Previous Knowledge

Differential Equations 2 (Partial Differential Equations)

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to
+ give an overview of the standard algorithms that are used in finite element programs.
+ explain the structure and algorithm of finite element programs.
+ specify problems of numerical algorithms, to identify them in a given situation and to explain their mathematical and computer science background.

Skills

Students are able to
+ construct algorithms for given numerical methods.
+ select for a given problem of structural mechanics a suitable algorithm.
+ apply numerical algorithms to solve problems of structural mechanics.
+ implement algorithms in a high-level programming languate (here C++).
+ critically judge and verfiy numerical algorithms.

Personal Competence
Social Competence

Students are able to
+ solve problems in heterogeneous groups and to document the corresponding results.

Autonomy

Students are able to
+ assess their knowledge by means of exercises and E-Learning.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 2h
Assignment for the Following Curricula Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory
Materials Science: Specialisation Modelling: Elective Compulsory
Naval Architecture and Ocean Engineering: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Course L0284: Numerical Algorithms in Structural Mechanics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Alexander Düster
Language DE
Cycle SoSe
Content

1. Motivation
2. Basics of C++
3. Numerical integration
4. Solution of nonlinear problems
5. Solution of linear equation systems
6. Verification of numerical algorithms
7. Selected algorithms and data structures of a finite element code

Literature

[1] D. Yang, C++ and object-oriented numeric computing, Springer, 2001.
[2] K.-J. Bathe, Finite-Elemente-Methoden, Springer, 2002.

Course L0285: Numerical Algorithms in Structural Mechanics
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Alexander Düster
Language DE
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0627: Machine Learning and Data Mining

Courses
Title Typ Hrs/wk CP
Machine Learning and Data Mining (L0340) Lecture 2 4
Machine Learning and Data Mining (L0510) Recitation Section (small) 2 2
Module Responsible NN
Admission Requirements


Recommended Previous Knowledge
  • Calculus
  • Stochastics
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can explain the difference between instance-based and model-based learning approaches, and they can enumerate basic machine learning technique for each of the two basic approaches, either on the basis of static data, or on the basis of incrementally incoming data . For dealing with uncertainty, students can describe suitable representation formalisms, and they explain how axioms, features, parameters, or structures used in these formalisms can be learned automatically with different algorithms. Students are also able to sketch different clustering techniques. They depict how the performance of learned classifiers can be improved by ensemble learning, and they can summarize how this influences computational learning theory. Algorithms for reinforcement learning can also be explained by students.

Skills

Student derive decision trees and, in turn, propositional rule sets from simple and static data tables and are able to name and explain basic optimization techniques. They present and apply the basic idea of first-order inductive leaning. Students apply the BME, MAP, ML, and EM algorithms for learning parameters of Bayesian networks and compare the different algorithms. They also know how to carry out Gaussian mixture learning. They can contrast kNN classifiers, neural networks, and support vector machines, and name their basic application areas and algorithmic properties. Students can describe basic clustering techniques and explain the basic components of those techniques. Students compare related machine learning techniques, e.g., k-means clustering and nearest neighbor classification. They can distinguish various ensemble learning techniques and compare the different goals of those techniques.




Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula Computer Science: Specialisation Intelligence Engineering: Elective Compulsory
Computational Science and Engineering: Specialisation Systems Engineering: Elective Compulsory
International Management and Engineering: Specialisation II. Information Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Course L0340: Machine Learning and Data Mining
Typ Lecture
Hrs/wk 2
CP 4
Workload in Hours Independent Study Time 92, Study Time in Lecture 28
Lecturer NN
Language EN
Cycle SoSe
Content
  • Decision trees
  • First-order inductive learning
  • Incremental learning: Version spaces
  • Uncertainty
  • Bayesian networks
  • Learning parameters of Bayesian networks
    BME, MAP, ML, EM algorithm
  • Learning structures of Bayesian networks
  • Gaussian Mixture Models
  • kNN classifier, neural network classifier, support vector machine (SVM) classifier
  • Clustering
    Distance measures, k-means clustering, nearest neighbor clustering
  • Kernel Density Estimation
  • Ensemble Learning
  • Reinforcement Learning
  • Computational Learning Theory
Literature
  1. Artificial Intelligence: A Modern Approach (Third Edition), Stuart Russel, Peter Norvig, Prentice Hall, 2010, Chapters 13, 14, 18-21
  2. Machine Learning: A Probabilistic Perspective, Kevin Murphy, MIT Press 2012
Course L0510: Machine Learning and Data Mining
Typ Recitation Section (small)
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer NN
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0653: High-Performance Computing

Courses
Title Typ Hrs/wk CP
Fundamentals of High-Performance Computing (L0242) Lecture 2 3
Fundamentals of High-Performance Computing (L1416) Problem-based Learning 2 3
Module Responsible Prof. Thomas Rung
Admission Requirements None
Recommended Previous Knowledge Basic knowledge in usage of modern IT environment
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to outline the fundamentals of numerical algorithms for high-performance computers by reference to modern hardware examples. Students can explain the relation between hard- and software aspects for the design of algorithms.

Skills Student can perform a critical assesment of the computational efficiency of simulation approaches. 
Personal Competence
Social Competence Students are able to develop and code algorithms in a team.
Autonomy


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 1.5h
Assignment for the Following Curricula Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory
Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Course L0242: Fundamentals of High-Performance Computing
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Thomas Rung
Language DE/EN
Cycle SoSe
Content

Fundamentals of modern hardware architectur, critical hard- & software aspects for efficient processing of exemplary algorithms, concepts for shared- and distributed-memory systems, implementations for accelerator hardware (GPGPUs)

Literature
Course L1416: Fundamentals of High-Performance Computing
Typ Problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Thomas Rung
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0692: Approximation and Stability

Courses
Title Typ Hrs/wk CP
Approximation and Stability (L0487) Lecture 2 3
Approximation and Stability (L0489) Seminar 1 2
Approximation and Stability (L0488) Recitation Section (small) 1 1
Module Responsible Prof. Marko Lindner
Admission Requirements None
Recommended Previous Knowledge
  • Linear Algebra: systems of linear equations, least squares problems, eigenvalues, singular values
  • Analysis: sequences, series, differentiation, integration
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • sketch and interrelate basic concepts of functional analysis (Hilbert space, operators),
  • name and understand concrete approximation methods,
  • name and explain basic stability theorems,
  • discuss spectral quantities, conditions numbers and methods of regularisation

Skills

Students are able to

  • apply basic results from functional analysis,
  • apply approximation methods,
  • apply stability theorems,
  • compute spectral quantities,
  • apply regularisation methods.
Personal Competence
Social Competence

Students are able to solve specific problems in groups and to present their results appropriately (e.g. as a seminar presentation).

Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale 30
Assignment for the Following Curricula Electrical Engineering: Specialisation Control and Power Systems: Elective Compulsory
Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory
Mechatronics: Specialisation Intelligent Systems and Robotics: Elective Compulsory
Technomathematics: Specialisation Mathematics: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Course L0487: Approximation and Stability
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Marko Lindner
Language DE/EN
Cycle SoSe
Content

This course is about solving the following basic problems of Linear Algebra,

  • systems of linear equations,
  • least squares problems,
  • eigenvalue problems

but now in function spaces (i.e. vector spaces of infinite dimension) by a stable approximation of the problem in a space of finite dimension.

Contents:

  • crash course on Hilbert spaces: metric, norm, scalar product, completeness
  • crash course on operators: boundedness, norm, compactness, projections
  • uniform vs. strong convergence, approximation methods
  • applicability and stability of approximation methods, Polski's theorem
  • Galerkin methods, collocation, spline interpolation, truncation
  • convolution and Toeplitz operators
  • crash course on C*-algebras
  • convergence of condition numbers
  • convergence of spectral quantities: spectrum, eigen values, singular values, pseudospectra
  • regularisation methods (truncated SVD, Tichonov)
Literature
  • R. Hagen, S. Roch, B. Silbermann: C*-Algebras in Numerical Analysis
  • H. W. Alt: Lineare Funktionalanalysis
  • M. Lindner: Infinite matrices and their finite sections
Course L0489: Approximation and Stability
Typ Seminar
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Marko Lindner
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course
Course L0488: Approximation and Stability
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Marko Lindner
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M0720: Matrix Algorithms

Courses
Title Typ Hrs/wk CP
Matrix Algorithms (L0984) Lecture 2 3
Matrix Algorithms (L0985) Recitation Section (small) 2 3
Module Responsible Dr. Jens-Peter Zemke
Admission Requirements None
Recommended Previous Knowledge
  • Mathematics I - III
  • Numerical Mathematics/ Numerics
  • Basic knowledge of the programming languages Matlab and C
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  1. name, state and classify state-of-the-art Krylov subspace  methods for the solution of the core problems of the engineering sciences, namely, eigenvalue problems, solution of linear systems, and model reduction;
  2. state approaches for the solution of matrix equations (Sylvester, Lyapunov, Riccati).
Skills

Students are capable to

  1. implement and assess basic Krylov subspace methods for the solution of eigenvalue problems, linear systems, and model reduction;
  2. assess methods used in modern software with respect to computing time, stability, and domain of applicability;
  3. adapt the approaches learned to new, unknown types of problem.
Personal Competence
Social Competence

Students can

  • develop and document joint solutions in small teams;
  • form groups to further develop the ideas and transfer them to other areas of applicability;
  • form a team to develop, build, and advance a software library.
Autonomy

Students are able to

  • correctly assess the time and effort of self-defined work;
  • assess whether the supporting theoretical and practical excercises are better solved individually or in a team;
  • define test problems for testing and expanding the methods;
  • assess their individual progess and, if necessary, to ask questions and seek help.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale
Assignment for the Following Curricula Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory
Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory
Technomathematics: Specialisation I. Mathematics: Elective Compulsory
Technomathematics: Specialisation I. Mathematics: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L0984: Matrix Algorithms
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Jens-Peter Zemke
Language DE
Cycle WiSe
Content
  • Part A: Krylov Subspace Methods:
    • Basics (derivation, basis, Ritz, OR, MR)
    • Arnoldi-based methods (Arnoldi, GMRes)
    • Lanczos-based methods (Lanczos, CG, BiCG, QMR, SymmLQ, PvL)
    • Sonneveld-based methods (IDR, BiCGStab, TFQMR, IDR(s))
  • Part B: Matrix Equations:
    • Sylvester Equation
    • Lyapunov Equation
    • Algebraic Riccati Equation
Literature Skript
Course L0985: Matrix Algorithms
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer NN
Language DE
Cycle WiSe
Content
Literature Siehe korrespondierende Vorlesung

Module M0881: Mathematical Image Processing

Courses
Title Typ Hrs/wk CP
Mathematical Image Processing (L0991) Lecture 3 4
Mathematical Image Processing (L0992) Recitation Section (small) 1 2
Module Responsible Prof. Marko Lindner
Admission Requirements None
Recommended Previous Knowledge
  • Analysis: partial derivatives, gradient, directional derivative
  • Linear Algebra: eigenvalues, least squares solution of a linear system
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to 

  • characterize and compare diffusion equations
  • explain elementary methods of image processing
  • explain methods of image segmentation and registration
  • sketch and interrelate basic concepts of functional analysis 
Skills

Students are able to 

  • implement and apply elementary methods of image processing  
  • explain and apply modern methods of image processing
Personal Competence
Social Competence

Students are able to work together in heterogeneously composed teams (i.e., teams from different study programs and background knowledge) and to explain theoretical foundations.

Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale 30
Assignment for the Following Curricula Bioprocess Engineering: Specialisation A - General Bioprocess Engineering: Elective Compulsory
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory
Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory
Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory
Mechatronics: Technical Complementary Course: Elective Compulsory
Technomathematics: Specialisation I. Mathematics: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Process Engineering: Specialisation Process Engineering: Elective Compulsory
Course L0991: Mathematical Image Processing
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Marko Lindner
Language DE/EN
Cycle WiSe
Content
  • basic methods of image processing
  • smoothing filters
  • the diffusion / heat equation
  • variational formulations in image processing
  • edge detection
  • image segmentation
  • image registration
Literature Bredies/Lorenz: Mathematische Bildverarbeitung
Course L0992: Mathematical Image Processing
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Marko Lindner
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0716: Hierarchical Algorithms

Courses
Title Typ Hrs/wk CP
Hierarchical Algorithms (L0585) Lecture 2 3
Hierarchical Algorithms (L0586) Recitation Section (small) 2 3
Module Responsible Prof. Sabine Le Borne
Admission Requirements None
Recommended Previous Knowledge
  • Mathematics I, II, III for Engineering students (german or english) or Analysis & Linear Algebra I + II as well as Analysis III for Technomathematicians
  • Programming experience in C
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • name representatives of hierarchical algorithms and list their characteristics,
  • explain construction techniques for hierarchical algorithms,
  • discuss aspects regarding the efficient implementation of hierarchical algorithms.
Skills

Students are able to

  • implement the hierarchical algorithms discussed in the lecture,
  • analyse the storage and computational complexities of the algorithms,
  • adapt algorithms to problem settings of various applications and thus develop problem adapted variants.
Personal Competence
Social Competence

Students are able to

  • work together in heterogeneously composed teams (i.e., teams from different study programs and background knowledge), explain theoretical foundations and support each other with practical aspects regarding the implementation of algorithms.
Autonomy

Students are capable

  • to assess whether the supporting theoretical and practical excercises are better solved individually or in a team,
  • to work on complex problems over an extended period of time,
  • to assess their individual progess and, if necessary, to ask questions and seek help.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale 30 minutes
Assignment for the Following Curricula Computer Science: Specialisation Intelligence Engineering: Elective Compulsory
Electrical Engineering: Specialisation Modeling and Simulation: Elective Compulsory
Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory
Technomathematics: Specialisation I. Mathematics: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L0585: Hierarchical Algorithms
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne
Language DE/EN
Cycle WiSe
Content
  • Low rank matrices
  • Separable expansions
  • Hierarchical matrix expansions
  • Hierarchical matrices
  • Formatted matrix operations
  • Applications
  • Additional topics
Literature W. Hackbusch: Hierarchische Matrizen: Algorithmen und Analysis
Course L0586: Hierarchical Algorithms
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Sabine Le Borne
Language DE/EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1020: Numerics of Partial Differential Equations

Courses
Title Typ Hrs/wk CP
Numerics of Partial Differential Equations (L1247) Lecture 2 3
Numerics of Partial Differential Equations (L1248) Recitation Section (small) 2 3
Module Responsible Prof. Blanca Ayuso Dios
Admission Requirements None
Recommended Previous Knowledge
  • Mathematik I - IV (for Engineering Students) or Analysis & Linear Algebra I + II for Technomathematicians
  • Numerical mathematics 1
  • Numerical treatment of ordinary differential equations
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • Students can classify partial differential equations according to the three basic types.
  • For each type, students know suitable numerical approaches.
  • Students know the theoretical convergence results for these approaches.
Skills Students are capable to formulate solution strategies for given problems involving partial differential equations, to comment on theoretical properties concerning convergence and to implement and test these methods in practice.
Personal Competence
Social Competence

Students are able to work together in heterogeneously composed teams (i.e., teams from different study programs and background knowledge) and to explain theoretical foundations.

Autonomy
  • Students are capable of checking their understanding of complex concepts on their own. They can specify open questions precisely and know where to get help in solving them.
  • Students have developed sufficient persistence to be able to work for longer periods in a goal-oriented manner on hard problems.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory
Technomathematics: Specialisation I. Mathematics: Elective Compulsory
Technomathematics: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L1247: Numerics of Partial Differential Equations
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Blanca Ayuso Dios
Language DE
Cycle WiSe
Content

Elementary Theory and Numerics of PDEs

  • types of PDEs
  • well posed problems
  • finite differences
  • finite elements
  • finite volumes
  • applications
Literature

Dietrich Braess: Finite Elemente: Theorie, schnelle Löser und Anwendungen in der Elastizitätstheorie, Berlin u.a., Springer 2007

Susanne Brenner, Ridgway Scott: The Mathematical Theory of Finite Element Methods, Springer, 2008

Peter Deuflhard, Martin Weiser: Numerische Mathematik 3
Course L1248: Numerics of Partial Differential Equations
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Blanca Ayuso Dios
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0711: Numerical Mathematics II

Courses
Title Typ Hrs/wk CP
Numerical Mathematics II (L0568) Lecture 2 3
Numerical Mathematics II (L0569) Recitation Section (small) 2 3
Module Responsible Prof. Blanca Ayuso Dios
Admission Requirements None
Recommended Previous Knowledge
  • Numerical Mathematics I
  • MATLAB knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to

  • name advanced numerical methods for interpolation, integration, linear least squares problems, eigenvalue problems, nonlinear root finding problems and explain their core ideas,
  • repeat convergence statements for the numerical methods,


  • sketch convergence proofs,


  • explain aspects regarding the practical implementation of numerical methods with respect to computational and storage complexity.


Skills

Students are able to

  • implement, apply and compare advanced numerical methods in MATLAB,
  • justify the convergence behaviour of numerical methods with respect to the problem and solution algorithm and to transfer it to related problems,
  • for a given problem, develop a suitable solution approach, if necessary through composition of several algorithms, to execute this approach and to critically evaluate the results


Personal Competence
Social Competence

Students are able to

  • work together in heterogeneously composed teams (i.e., teams from different study programs and background knowledge), explain theoretical foundations and support each other with practical aspects regarding the implementation of algorithms.
Autonomy

Students are capable

  • to assess whether the supporting theoretical and practical excercises are better solved individually or in a team,
  • to assess their individual progess and, if necessary, to ask questions and seek help.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Computer Science: Specialisation Computer and Software Engineering: Elective Compulsory
Computer Science: Specialisation Intelligence Engineering: Elective Compulsory
Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory
Computational Science and Engineering: Specialisation Information and Communication Technology: Elective Compulsory
Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory
Technomathematics: Specialisation I. Mathematics: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L0568: Numerical Mathematics II
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Blanca Ayuso Dios
Language DE/EN
Cycle SoSe
Content
  1. Error and stability: Notions and estimates
  2. Interpolation: Rational and trigonometric interpolation
  3. Quadrature: Gaussian quadrature, orthogonal polynomials
  4. Linear systems: Perturbation theory of decompositions, structured matrices
  5. Eigenvalue problems: LR-, QD-, QR-Algorithmus
  6. Krylov space methods: Arnoldi-, Lanczos methods
Literature
  • Stoer/Bulirsch: Numerische Mathematik 1, Springer
  • Dahmen, Reusken: Numerik für Ingenieure und Naturwissenschaftler, Springer
Course L0569: Numerical Mathematics II
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Blanca Ayuso Dios
Language DE/EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Specialization Product Development and Production

At the center of the specialization „product development and production“ is the acquisition of knowledge and skills for developing, designing and manufacturing of mechanical engineering products. This includes product planning, systematic and methodical development of solution concepts, the design and construction of products with special emphasis on component stress and cost considerations, to the derivation and creation of manufacturing documentation and the implementation in production.

Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 138, Study Time in Lecture 42
Credit points 6
Examination according to Subject Specific Regulations
Examination duration and scale
Assignment for the Following Curricula Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory

Module M0815: Product Planning

Courses
Title Typ Hrs/wk CP
Product Planning (L0851) Problem-based Learning 3 3
Product Planning Seminar (L0853) Problem-based Learning 2 3
Module Responsible Prof. Cornelius Herstatt
Admission Requirements None
Recommended Previous Knowledge

Good basic-knowledge of Business Administration

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students will gain  insights into:

  • Product Planning
    • Process
    • Methods
  • Design thinking
    • Process
    • Methods
    • User integration
Skills

Students will gain deep insights into:

  • Product Planning
    • Process-related aspects
    • Organisational-related aspects
    • Human-Ressource related aspects
    • Working-tools, methods and instruments

Personal Competence
Social Competence
  • Interact within a team
  • Raise awareness for globabl issues
Autonomy
  • Gain access to knowledge sources
  • Interpret complex cases
  • Develop presentation skills
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Examination Written exam
Examination duration and scale 90 minutes
Assignment for the Following Curricula Global Innovation Management: Core qualification: Compulsory
International Production Management: Specialisation Management: Elective Compulsory
International Management and Engineering: Specialisation I. Electives Management: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Course L0851: Product Planning
Typ Problem-based Learning
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Cornelius Herstatt
Language EN
Cycle WiSe
Content

Product Planning Process

This integrated lecture is designed to understand major issues, activities and tools in the context of systematic product planning, a key activity for managing the front-end of innovation, i.e.:
•    Systematic scanning of markets for innovation opportunities
•    Understanding strengths/weakness and specific core competences of a firm as platforms for innovation
•    Exploring relevant sources for innovation (customers, suppliers, Lead Users, etc.)
•    Developing ideas for radical innovation, relying on the creativeness of employees, using techniques to stimulate creativity and creating a stimulating environment
•    Transferring ideas for innovation into feasible concepts which have a high market attractively

Literature Ulrich, K./Eppinger, S.: Product Design and Development, 2nd. Edition, McGraw-Hill 2010
Course L0853: Product Planning Seminar
Typ Problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Cornelius Herstatt
Language EN
Cycle WiSe
Content Seminar is integrative part of the Module Product Planning (for content see lecture) and can not be choosen independantly
Literature see/siehe Vorlesung Produktplanung/Produc Planning

Module M0867: Production Planning & Control and Digital Enterprise

Courses
Title Typ Hrs/wk CP
The Digital Enterprise (L0932) Lecture 2 2
Production Planning and Control (L0929) Lecture 2 2
Production Planning and Control (L0930) Recitation Section (small) 1 1
Exercise: The Digital Enterprise (L0933) Recitation Section (small) 1 1
Module Responsible Prof. Hermann Lödding
Admission Requirements none
Recommended Previous Knowledge Fundamentals of Production and Quality Management
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students can explain the contents of the module in detail and take a critical position to them.
Skills Students are capable of choosing and applying models and methods from the module to industrial problems.
Personal Competence
Social Competence Students can develop joint solutions in mixed teams and present them to others.
Autonomy -
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Examination Written exam
Examination duration and scale 180 Minuten
Assignment for the Following Curricula International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
Logistics, Infrastructure and Mobility: Specialisation Production and Logistics: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Course L0932: The Digital Enterprise
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Dr. Axel Friedewald
Language DE
Cycle SoSe
Content
  • Modelling of business processes and data, simulation
  • Knowledge and competence management
  • Process management (MRP, workflow management)
  • Computer Aided Planning (CAP)
  • Virtual Reality (VR) and Augmented Reality (AR)
  • Computer Aided Quality Management (CAQ)
  • E-Collaboration
Literature

Scheer, A.-W.: ARIS - vom Geschäftsprozeß zum Anwendungssystem. Springer-Verlag, Berlin 4. Aufl. 2002

Schuh, G. et. al.: Produktionsplanung und -steuerung, Springer-Verlag. Berlin 3. Auflage 2006

Becker, J.; Luczak, H.: Workflowmanagement in der Produktionsplanung und -steuerung. Springer-Verlag, Berlin 2004

Pfeifer, T; Schmitt, R.: Masing Handbuch Qualitätsmanagement. Hanser-Verlag, München 5. Aufl. 2007 

Kühn, W.: Digitale Fabrik. Hanser-Verlag, München 2006

Course L0929: Production Planning and Control
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Hermann Lödding
Language DE
Cycle WiSe
Content
  • Models of Production and Inventory Management
  • Production Programme Planning and Lot Sizing
  • Order and Capacity Scheduling
  • Selected Strategies of PPC
  • Manufacturing Control
  • Production Controlling
  • Supply Chain Management
Literature
  • Vorlesungsskript
  • Lödding, H: Verfahren der Fertigungssteuerung, Springer 2008
  • Nyhuis, P.; Wiendahl, H.-P.: Logistische Kennlinien, Springer 2002
Course L0930: Production Planning and Control
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Hermann Lödding
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L0933: Exercise: The Digital Enterprise
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Dr. Axel Friedewald
Language DE
Cycle SoSe
Content

See interlocking course

Literature

Siehe korrespondierende Vorlesung

See interlocking course

Module M1024: Methods of Integrated Product Development

Courses
Title Typ Hrs/wk CP
Integrated Product Development II (L1254) Lecture 3 3
Integrated Product Development II (L1255) Problem-based Learning 2 3
Module Responsible Prof. Dieter Krause
Admission Requirements None
Recommended Previous Knowledge

Basic knowledge of Integrated product development and applying CAE systems

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After passing the module students are able to:

  • explain technical terms of design methodology,
  • describe essential elements of construction management,
  • describe current problems and the current state of research of integrated product development.
Skills

After passing the module students are able to:

  • select and apply proper construction methods for non-standardized solutions of problems as well as adapt new boundary conditions,
  • solve product development problems with the assistance of a workshop based approach,
  • choose and execute appropriate moderation techniques. 
Personal Competence
Social Competence

After passing the module students are able to:

  • prepare and lead team meetings and moderation processes,
  • work in teams on complex tasks,
  • represent problems and solutions and advance ideas.
Autonomy

After passing the module students are able to:

  • give a structured feedback and accept a critical feedback,
  • implement the accepted feedback autonomous.
Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Examination Oral exam
Examination duration and scale 30 Minuten
Assignment for the Following Curricula Aircraft Systems Engineering: Specialisation Air Transportation Systems: Elective Compulsory
Aircraft Systems Engineering: Specialisation Cabin Systems: Elective Compulsory
International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Course L1254: Integrated Product Development II
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Dieter Krause
Language DE
Cycle WiSe
Content

Lecture

The lecture extends and enhances the learned content of the module “Integrated Product Development and lightweight design” and is based on the knowledge and skills acquired there.

Topics of the course include in particular:

  • Methods of product development,
  • Presentation techniques,
  • Industrial Design,
  • Design for variety
  • Modularization methods,
  • Design catalogs,
  • Adapted QFD matrix,
  • Systematic material selection,
  • Assembly oriented design,

Construction management

  • CE mark, declaration of conformity including risk assessment,
  • Patents, patent rights, patent monitoring
  • Project management (cost, time, quality) and escalation principles,
  • Development management for mechatronics,
  • Technical Supply Chain Management.

Exercise (PBL)

In the exercise the content presented in the lecture “Integrated Product Development II” and methods of product development and design management will be enhanced.

Students learn an independently moderated and workshop based approach through industry related practice examples to solve complex and currently existing issues in product development. They will learn the ability to apply important methods of product development and design management autonomous and acquire further expertise in the field of integrated product development. Besides personal skills, such as teamwork, guiding discussions and representing work results will be acquired through the workshop based structure of the event under its own planning and management.


Literature
  • Andreasen, M.M., Design for Assembly, Berlin, Springer 1985.
  • Ashby, M. F.: Materials Selection in Mechanical Design, München, Spektrum 2007.
  • Beckmann, H.: Supply Chain Management, Berlin, Springer 2004.
  • Hartmann, M., Rieger, M., Funk, R., Rath, U.: Zielgerichtet moderieren. Ein Handbuch für Führungskräfte, Berater und Trainer, Weinheim, Beltz 2007.
  • Pahl, G., Beitz, W.: Konstruktionslehre, Berlin, Springer 2006.
  • Roth, K.H.: Konstruieren mit Konstruktionskatalogen, Band 1-3, Berlin, Springer 2000.
  • Simpson, T.W., Siddique, Z., Jiao, R.J.: Product Platform and Product Family Design. Methods and Applications, New York, Springer 2013.
Course L1255: Integrated Product Development II
Typ Problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Dieter Krause
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0739: Holistic Factory Planning & Production Logistics

Courses
Title Typ Hrs/wk CP
Holistic Factory Planning (L1445) Lecture 2 3
Production Logistics (L1446) Lecture 2 3
Module Responsible Prof. Günther Pawellek
Admission Requirements
Recommended Previous Knowledge

Basic knowledge of logistics


Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can...

  • name, explain and discuss terms and concepts for economical, flexible organization of companies and from the field of production logistics.
  • name, explain and discuss factory planning approaches, methods and aids.


Skills

Students can...

  • select methods for planning and reorganization of efficient, logistics-oriented production and apply them to examples.
  • select methods of production management and factory planning and apply them to examples.
  • review complex logistics projects and make well-argued proposals for solutions to problems linked with them.
  • process rationalization and factory planning projects in a structured way.


Personal Competence
Social Competence

Social Competence:

  • Students can present and argue their own professional opinions and work results in front of teachers and other students in an appropriate manner.
  • Students can achieve accurate work results as part of a team.


Autonomy
  • Students can access specialist knowledge independently and transfer the knowledge acquired to new problems.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale
Assignment for the Following Curricula Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Course L1445: Holistic Factory Planning
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Günther Pawellek
Language DE
Cycle SoSe
Content
  • Introduction: “Factory of the Future,” production strategies, factory planning and logistics, new requirements, the factory as a cybernetic system, networked target system, planning heuristics, system-oriented planning, methods and instruments, planning phases and steps, evaluating planning alternatives, factory management and asset management.
  • Structures: process orientation, factory planning in production systems, networked target system, design modules, factory systems (product/market, technology, organization, plant, humans), solution principles, planning procedures, problem solving process, participative change management (PCM)
  • Strategic planning: Objective and action planning, methods and aids, innovation program, key performance indicators, improvement potential and priorities, specifying and evaluating action emphases, cost and benefit, innovation controlling, developing an innovation, location and sustainability strategy.
  • Structural planning: reasons for planning, logistics-compatible factory structures and building, planning steps, planning elements, determining relevant sub-systems and capacities, structure alternatives, methods and layout planning, structure plan, cost-benefit analysis, long-term plant and innovation concept.
  • Systems planning: task and methodology, planning steps, production and assembly system planning, warehousing and transport system planning, organizational planning, building systems and infrastructure planning.
  • Implementation planning: detailed planning, tendering procedure, implementation monitoring and commissioning, project management, personnel development
  • Use of computers in factory planning: necessity and requirements, computer software as an aid to planning, simulation, facility management, virtual reality, digital factory, integrated planning systems, integrated product and process model (IPPL), MEPOT.net method portal.


Literature

Pawellek, G.: Ganzheitliche Fabrikplanung: Grundlagen, Vorgehensweise, EDV-Unterstützung. Springer-Verlag 2008


Course L1446: Production Logistics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Arnd Schirrmann
Language DE
Cycle SoSe
Content
  • Introduction: situation, significance and main innovation focuses of logistics in a production company, aspects of procurement, production, distribution and disposal logistics, production and transport networks
  • Logistics as a production strategy: logistics-oriented method of working in a factory, throughput time, corporate strategy, structured networking, reducing complexity, integrated organization, integrated product and production logistics (IPPL)
  • Logistics-compatible production and process structuring; logistics-compatible product, material flow, information and organizational structures
  • Logistics-oriented production control: situation and development tendencies, logistics and cybernetics, market-oriented production planning, control, monitoring, PPS systems and production control, cybernetic production organization and control, production logistics control systems.
  • Production logistics planning: key performance indicators, developing a production logistics concept, computerized aids to planning production logistics, IPPL functions, economic efficiency of logistics projects
  • Production logistics controlling: production logistics and controlling, material flow-oriented cost transparency, cost controlling (process cost accounting, costs model in IPPL), process controlling (integrated production system, methods and tools, MEPOT.net method portal)


Literature

Pawellek, G.: Produktionslogistik: Planung - Steuerung - Controlling. Carl Hanser Verlag 2007

Module M0805: Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics )

Courses
Title Typ Hrs/wk CP
Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics ) (L0516) Lecture 2 3
Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics ) (L0518) Recitation Section (large) 2 3
Module Responsible Prof. Otto von Estorff
Admission Requirements

none

Recommended Previous Knowledge

Mechanics I (Statics, Mechanics of Materials) and Mechanics II (Hydrostatics, Kinematics, Dynamics)

Mathematics I, II, III (in particular differential equations)

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students possess an in-depth knowledge in acoustics regarding acoustic waves, noise protection, and psycho acoustics and are able to give an overview of the corresponding theoretical and methodical basis.

Skills

The students are capable to handle engineering problems in acoustics by theory-based application of the demanding methodologies and measurement procedures treated within the module.

Personal Competence
Social Competence
Autonomy

The students are able to independently solve challenging acoustical problems in the areas treated within the module. Possible conflicting issues and limitations can be identified and the results are critically scrutinized.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale 20-30 Minuten
Assignment for the Following Curricula Energy Systems: Core qualification: Elective Compulsory
Aircraft Systems Engineering: Specialisation Cabin Systems: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Product Development, Materials and Production: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Course L0516: Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics )
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Otto von Estorff
Language EN
Cycle SoSe
Content

- Introduction and Motivation
- Acoustic quantities
- Acoustic waves
- Sound sources, sound radiation
- Sound engergy and intensity
- Sound propagation
- Signal processing
- Psycho acoustics
- Noise
- Measurements in acoustics

Literature

Cremer, L.; Heckl, M. (1996): Körperschall. Springer Verlag, Berlin
Veit, I. (1988): Technische Akustik. Vogel-Buchverlag, Würzburg
Veit, I. (1988): Flüssigkeitsschall. Vogel-Buchverlag, Würzburg

Course L0518: Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics )
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Otto von Estorff
Language EN
Cycle SoSe
Content See interlocking course
Literature See interlocking course

Module M1143: Mechanical Design Methodology

Courses
Title Typ Hrs/wk CP
Mechanical Design Methodology (L1523) Lecture 3 4
Mechanical Design Methodology (L1524) Recitation Section (small) 1 2
Module Responsible Prof. Josef Schlattmann
Admission Requirements none
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Science-based working on product design considering targeted application of specific product design techniques

Skills

Creative handling of processes used for scientific preparation and formulation of complex product design problems / Application of various product design techniques following theoretical aspects.

Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale
Assignment for the Following Curricula Mechatronics: Specialisation System Design: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Course L1523: Mechanical Design Methodology
Typ Lecture
Hrs/wk 3
CP 4
Workload in Hours Independent Study Time 78, Study Time in Lecture 42
Lecturer Prof. Josef Schlattmann
Language DE
Cycle SoSe
Content
  • Systematic reflection and analysis of the mechanical design process
  • Process structuring in sections (task, functions, acting principles, design-elements and total construction) as well as levels (working-, controlling-, and deciding-levels)
  • Creativity (basics, methods, practical application in mechatronics)
  • Diverse methods applied as tools (function structure, GALFMOS, AEIOU method, GAMPFT, simulation tools, TRIZ)
  • Evaluation and selection (technical-economical evaluation, preference matrix)
  • Value analysis, cost-benefit analysis
  • Low-noise design of technical products
  • Project monitoring and leading (leading projects / employees, organisation in product development, creating ideas / responsibility and communication)
  • Aesthetic product design (industrial design, colouring, specific examples / exercises)
Literature
  • Pahl, G.; Beitz, W.; Feldhusen, J.; Grote, K.-H.: Konstruktionslehre: Grundlage erfolgreicher Produktentwicklung, Methoden und Anwendung, 7. Auflage, Springer Verlag, Berlin 2007
  • VDI-Richtlinien: 2206; 2221ff
Course L1524: Mechanical Design Methodology
Typ Recitation Section (small)
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Josef Schlattmann
Language DE
Cycle SoSe
Content
  • Systematic reflection and analysis of the mechanical design process
  • Process structuring in sections (task, functions, acting principles, design-elements and total construction) as well as levels (working-, controlling-, and deciding-levels)
  • Creativity (basics, methods, practical application in mechatronics)
  • Diverse methods applied as tools (function structure, GALFMOS, AEIOU method, GAMPFT, simulation tools, TRIZ)
  • Evaluation and selection (technical-economical evaluation, preference matrix)
  • Value analysis, cost-benefit analysis
  • Low-noise design of technical products
  • Project monitoring and leading (leading projects / employees, organisation in product development, creating ideas / responsibility and communication)
  • Aesthetic product design (industrial design, colouring, specific examples / exercises)
Literature
  • Pahl, G.; Beitz, W.; Feldhusen, J.; Grote, K.-H.: Konstruktionslehre: Grundlage erfolgreicher Produktentwicklung, Methoden und Anwendung, 7. Auflage, Springer Verlag, Berlin 2007
  • VDI-Richtlinien: 2206; 2221ff

Module M0563: Robotics

Courses
Title Typ Hrs/wk CP
Robotics: Modelling and Control (L0168) Lecture 3 3
Robotics: Modelling and Control (L1305) Recitation Section (small) 2 3
Module Responsible Prof. Uwe Weltin
Admission Requirements
Recommended Previous Knowledge

Fundamentals of electrical engineering

Broad knowledge of mechanics

Fundamentals of control theory

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge Students are able to describe fundamental properties of robots and solution approaches for multiple problems in robotics.
Skills

Students are able to derive and solve equations of motion for various manipulators.

Students can generate trajectories in various coordinate systems.

Students can design linear and partially nonlinear controllers for robotic manipulators.

Personal Competence
Social Competence Students are able to work goal-oriented in small mixed groups.
Autonomy

Students are able to recognize and improve knowledge deficits independently.

With instructor assistance, students are able to evaluate their own knowledge level and define a further course of study.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70
Credit points 6
Examination Written exam
Examination duration and scale 120 min
Assignment for the Following Curricula Computer Science: Specialisation Intelligence Engineering: Elective Compulsory
Computational Science and Engineering: Specialisation Systems Engineering and Robotics: Elective Compulsory
International Production Management: Specialisation Production Technology: Elective Compulsory
International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
Mechanical Engineering and Management: Core qualification: Compulsory
Mechatronics: Core qualification: Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L0168: Robotics: Modelling and Control
Typ Lecture
Hrs/wk 3
CP 3
Workload in Hours Independent Study Time 48, Study Time in Lecture 42
Lecturer Prof. Uwe Weltin
Language EN
Cycle WiSe
Content

Fundamental kinematics of rigid body systems

Newton-Euler equations for manipulators

Trajectory generation

Linear and nonlinear control of robots

Literature

Craig, John J.: Introduction to Robotics Mechanics and Control, Third Edition, Prentice Hall. ISBN 0201-54361-3

Spong, Mark W.; Hutchinson, Seth;  Vidyasagar, M. : Robot Modeling and Control. WILEY. ISBN 0-471-64990-2


Course L1305: Robotics: Modelling and Control
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Uwe Weltin
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M0806: Technical Acoustics II (Room Acoustics, Computational Methods)

Courses
Title Typ Hrs/wk CP
Technical Acoustics II (Room Acoustics, Computational Methods) (L0519) Lecture 2 3
Technical Acoustics II (Room Acoustics, Computational Methods) (L0521) Recitation Section (large) 2 3
Module Responsible Prof. Otto von Estorff
Admission Requirements

none

Recommended Previous Knowledge

Technical Acoustics I (Acoustic Waves, Noise Protection, Psycho Acoustics)

Mechanics I (Statics, Mechanics of Materials) and Mechanics II (Hydrostatics, Kinematics, Dynamics)

Mathematics I, II, III (in particular differential equations)

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students possess an in-depth knowledge in acoustics regarding room acoustics and computational methods and are able to give an overview of the corresponding theoretical and methodical basis.

Skills

The students are capable to handle engineering problems in acoustics by theory-based application of the demanding computational methods and procedures treated within the module.

Personal Competence
Social Competence
Autonomy

The students are able to independently solve challenging acoustical problems in the areas treated within the module. Possible conflicting issues and limitations can be identified and the results are critically scrutinized.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale 20-30 Minuten
Assignment for the Following Curricula Aircraft Systems Engineering: Specialisation Cabin Systems: Elective Compulsory
Mechatronics: Specialisation System Design: Elective Compulsory
Product Development, Materials and Production: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L0519: Technical Acoustics II (Room Acoustics, Computational Methods)
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Otto von Estorff
Language EN
Cycle WiSe
Content

- Room acoustics
- Sound absorber

- Standard computations
- Statistical Energy Approaches
- Finite Element Methods
- Boundary Element Methods
- Geometrical acoustics
- Special formulations

- Practical applications
- Hands-on Sessions: Programming of elements (Matlab)

Literature

Cremer, L.; Heckl, M. (1996): Körperschall. Springer Verlag, Berlin
Veit, I. (1988): Technische Akustik. Vogel-Buchverlag, Würzburg
Veit, I. (1988): Flüssigkeitsschall. Vogel-Buchverlag, Würzburg
Gaul, L.; Fiedler, Ch. (1997): Methode der Randelemente in Statik und Dynamik. Vieweg, Braunschweig, Wiesbaden
Bathe, K.-J. (2000): Finite-Elemente-Methoden. Springer Verlag, Berlin

Course L0521: Technical Acoustics II (Room Acoustics, Computational Methods)
Typ Recitation Section (large)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Otto von Estorff
Language EN
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1025: Fluidics

Courses
Title Typ Hrs/wk CP
Fluidics (L1256) Lecture 2 3
Fluidics (L1371) Problem-based Learning 1 2
Fluidics (L1257) Recitation Section (large) 1 1
Module Responsible Prof. Dieter Krause
Admission Requirements None
Recommended Previous Knowledge

Good knowledge of mechanics (stereo statics, elastostatics, hydrostatics, kinematics and kinetics), fluid mechanics, and engineering design

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

After passing the module students are able to

  • explain structures and functionalities of hydrostatic, pneumatic, and hydrodynamic components,
  • explain the interaction of hydraulic components in hydraulic systems,
  • explain open and closed loop control of hydraulic systems,
  • describe functioning and applications of hydrodynamic torque converters, brakes and clutches as well as centrifugal pumps and aggregates in plant technology
Skills

After passing the module students are able to

  • analyse and assess hydraulic and pneumatic components and systems,
  • design and dimension hydraulic systems for mechanical applications,
  • perform numerical simulations of hydraulic systems based on abstract problem definitions,
  • select and adapt pump characteristic curves for hydraulic systems
  • dimension hydrodynamic torque converters and brakes for mechanical aggregates.


Personal Competence
Social Competence

After passing the module students are able to

  • discuss and present functional context in groups,
  • organise teamwork autonomously.


Autonomy

After passing the module students are able to

  • obtain necessary knowledge for the simulation.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 90
Assignment for the Following Curricula International Management and Engineering: Specialisation II. Mechatronics: Elective Compulsory
International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L1256: Fluidics
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Dieter Krause
Language DE
Cycle WiSe
Content

Lecture

Hydrostatics

  • physical fundamentals
  • hydraulic fluids
  • hydrostatic machines
  • valves
  • components
  • hydrostatic transmissions
  • examples from industry

Pneumatics

  • generation of compressed air
  • pneumatic motors
  • Examples of use

Hydrodynamics

  • physical fundamentals
  • hydraulic continous-flow machines
  • hydrodynamic transmissions
  • interoperation of motor and transmission

Exercise

Hydrostatics

  • reading and design of hydraulic diagrams
  • dimensioning of hydrostatic traction and working drives
  • performance calculation

Hydrodynamics

  • calculation / dimensioning of hydrodynamic torque converters
  • calculation / dimensioning of centrifugal pumps
  • creating and reading of characteristic curves of pumps and systems

Field trip

  • field trip to a regional company from the hydraulic industry.


Exercise

Numerical simulation of hydrostatic systems

  • getting to know a numerical simulation environment for hydraulic systems
  • transformation of a task into a simulation model
  • simulation of common components
  • variation of simulation parameters
  • using simulations for system dimensioning and optimisation
  • (partly) self-organised teamwork
Literature

Bücher

  • Murrenhoff, H.: Grundlagen der Fluidtechnik - Teil 1: Hydraulik, Shaker Verlag, Aachen, 2011
  • Murrenhoff, H.: Grundlagen der Fluidtechnik - Teil 2: Pneumatik, Shaker Verlag, Aachen, 2006
  • Matthies, H.J. Renius, K.Th.: Einführung in die Ölhydraulik, Teubner Verlag, 2006
  • Beitz, W., Grote, K.-H.: Dubbel - Taschenbuch für den Maschinenbau, Springer-Verlag, Berlin, aktuelle Auflage
Skript zur Vorlesung
Course L1371: Fluidics
Typ Problem-based Learning
Hrs/wk 1
CP 2
Workload in Hours Independent Study Time 46, Study Time in Lecture 14
Lecturer Prof. Dieter Krause
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course
Course L1257: Fluidics
Typ Recitation Section (large)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Dieter Krause
Language DE
Cycle WiSe
Content See interlocking course
Literature See interlocking course

Module M1183: Laser systems and methods of manufacturing design and analysis

Courses
Title Typ Hrs/wk CP
Laser Systems and Process Technologies (L1612) Lecture 2 3
Methods for Analysing Production Processes (L0876) Lecture 2 3
Module Responsible Prof. Wolfgang Hintze
Admission Requirements none
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 180 min
Assignment for the Following Curricula Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L1612: Laser Systems and Process Technologies
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Claus Emmelmann
Language EN
Cycle WiSe
Content
  • Fundamentals of laser technology
  • Laser beam sources: CO2-, Nd:YAG-, Fiber- and Diodelasers
  • Laser system technology: beam forming, beam guidance systems, beam motion and beam control
  • Laser-based manufacturing technologies: generation, marking, cutting, joining, surface treatment
  • Quality assurance and economical aspects of laser material processing
  • Markets and Applications of laser technology
  • Student group exercises
Literature
  • Hügel, H. , T. Graf: Laser in der Fertigung : Strahlquellen, Systeme, Fertigungsverfahren, 3. Aufl., Vieweg + Teubner Wiesbaden 2014.
  • Eichler, J., Eichler. H. J.: Laser: Bauformen, Strahlführung, Anwendungen, 7. Aufl., Springer-Verlag Berlin Heidelberg 2010.
  • Steen W. M.; Mazumder J.: Laser material processing, 4th Edition,  Springer-Verlag London 2010.
  • J.C. Ion: Laser processing of engineering materials: principles, procedure and industrial applications, Elsevier Butterworth-Heinemann 2005.
  • Gebhardt, A.: Understanding additive manufacturing, München [u.a.] Hanser 2011
Course L0876: Methods for Analysing Production Processes
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Wolfgang Hintze
Language DE
Cycle WiSe
Content
  • Modelling and simulation of maching and forming processes
  • Numerical simulation of forces, temperatures, deformation in machining
  • Analysis of vibration problems in maching (chatter, modal analysis,..)
  • Knowledge based process planning
  • Design of experiments
  • Machinability of nonmetallic materials
  • Analysis of interaction between maching process and machine tool systems with regard to process stabiltity and quality
  • Simulation of maching processes by virtual reality methods
Literature

Tönshoff, H.K.; Denkena, B.; Spanen Grundlagen, Springer (2004)

Klocke, F.; König, W.; Fertigungsverfahren Umformen, Springer (2006)

Weck, M.; Werkzeugmaschinen Fertigungssysteme 3, Springer (2001)

Weck, M.; Werkzeugmaschinen Fertigungssysteme 5, Springer (2001)

Module M1174: Automation Technology and Systems

Courses
Title Typ Hrs/wk CP
Handling and Assembly Systems (L1591) Lecture 2 2
Handling and Assembly Systems (L1738) Recitation Section (small) 1 1
Automation Technology (L1590) Lecture 2 2
Automation Technology (L1739) Recitation Section (small) 1 1
Module Responsible Prof. Thorsten Schüppstuhl
Admission Requirements

None

Recommended Previous Knowledge

without major course assessment

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students

  • know the characteristic components of an automation systems and have good understanding of their interaction
  • know methods for a systematical analysis of automation tasks and are able to use them
  • have special competences in industrial robot based automation systems
Skills

Students are able to...

  • analyze complex Automation tasks
  • develop application based concepts and solutions
  • design subsystems and integrate into one system
  • investigate and evaluate safety of machinery
  • create simple programs for robots and programmable logic controllers
  • design of circuit for pneumatic applications
Personal Competence
Social Competence

Students are able to ...

- find solutions for automation and handling tasks in groups

 - develop solutions in a production environment with qualified personnel at technical level and represent decisions.

Autonomy

Students are able to ...

  • analyze automation tasks independently
  • generate programs for robots and programmable logic devices autonomously
  • develop solutions for practice oriented tasks of automation independently
  • design safety concepts for automation applications
  • assess consequences of their professional actions and responsibilities
Workload in Hours Independent Study Time 96, Study Time in Lecture 84
Credit points 6
Examination Written exam
Examination duration and scale
Assignment for the Following Curricula Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Compulsory
Product Development, Materials and Production: Specialisation Materials: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L1591: Handling and Assembly Systems
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thorsten Schüppstuhl
Language DE
Cycle WiSe
Content
Fundamentals and terminology of handling and assembly systems
-Analysis of parts and handling tasks
-Supply and transfer systems
-Gripper
-Industrial robots: structure, control and programming
-Safety of machinery
Literature
Stefan Hesse
Grundlagen der Handhabungstechnik
ISBN: 3446418725
München Hanser, 2010
Course L1738: Handling and Assembly Systems
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Thorsten Schüppstuhl
Language DE
Cycle WiSe
Content
Literature
Course L1590: Automation Technology
Typ Lecture
Hrs/wk 2
CP 2
Workload in Hours Independent Study Time 32, Study Time in Lecture 28
Lecturer Prof. Thorsten Schüppstuhl
Language DE
Cycle SoSe
Content
-Introduction to the production Automation including their different fields of application, importent terms, automation history and upcoming trends
-Overview of different actuator concepts and their principles
-Design of pneumatic wiring diagrams
-Energyefficency in the production
-Review of automatic identification systems like Barcode and RFID
-Overview of the structure, components and algorithms of an image processing system
-Introduction to buscommunication an the different general concepts
-Comparision of Programmable logic controllers and hard-wired programmed logic controllers including the upcoming trends
Literature
Reinhard Langmann: Taschenbuch der Automatisierung

Holger Watter: Hydraulik und Pneumatik

Horst Walter Grollius: Grundlagen der Pneumatik

Hubertus Murrenhoff: Grundlagen der Fluidtechnik

Christian Demant: Industrielle Bildverarbeitung

Michael ten Hompel: Identifikationssysteme und Automatisierung

Hans-Jürgen Gevatter, Ulrich Grünhaupt: Handbuch der Mess- und Automatisierungstechnik in der Produktion
Course L1739: Automation Technology
Typ Recitation Section (small)
Hrs/wk 1
CP 1
Workload in Hours Independent Study Time 16, Study Time in Lecture 14
Lecturer Prof. Thorsten Schüppstuhl
Language DE
Cycle SoSe
Content
Literature

Specialization Materials Science

The focus of the specialization „materials technology“ is the acquisition of in-depth knowledge and skills in materials technology. One main focus is on the creation of modern material models. Modules in the electives are the material modeling and Multi-scale modeling phenomena and methods in materials science, polymer processing, as well as plastics and composites. In addition, subjects in the Technical Supplement Course for TMBMS (according FSPO) are freely selectable.

Module M1151: Material Modeling

Courses
Title Typ Hrs/wk CP
Material Modeling (L1535) Lecture 2 3
Material Modeling (L1536) Recitation Section (small) 2 3
Module Responsible Prof. Swantje Bargmann
Admission Requirements None
Recommended Previous Knowledge

mechanics I

mechanics II

 continuum mechanics

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students can explain the fundamentals of multidimensional consitutive material laws
Skills The students can implement their own material laws in finite element codes. In particular, the students can apply their knowledge to various problems of material science and evaluate the corresponding material models.
Personal Competence
Social Competence

The students are able to develop solutions, to present them to specialists and to develop ideas further.

Autonomy

The students are able to assess their own strengths and weaknesses and to define tasks themselves. They can solve exercises in the area of continuum mechanics on their own.


Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale 30 min
Assignment for the Following Curricula Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory
Materials Science: Specialisation Modelling: Elective Compulsory
Biomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine: Elective Compulsory
Biomedical Engineering: Specialisation Implants and Endoprostheses: Elective Compulsory
Biomedical Engineering: Specialisation Medical Technology and Control Theory: Elective Compulsory
Biomedical Engineering: Specialisation Management and Business Administration: Elective Compulsory
Product Development, Materials and Production: Core qualification: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Course L1535: Material Modeling
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Swantje Bargmann, Dr. Benjamin Klusemann
Language DE/EN
Cycle WiSe
Content
  • fundamentals of finite element methods
  • fundamentals of material modeling
  • introduction to numerical implementation of material laws 
  • overview of modelling of different classes of materials
  • combination of macroscopic quantities to material microstructure


Literature

D. Raabe: Computational Materials Science, The Simulation of Materials, Microstructures and Properties, Wiley-Vch

J. Bonet, R.D. Wood, Nonlinear Continuum Mechanics for Finite Element Analysis, Cambridge

G. Gottstein., Physical Foundations of Materials Science, Springer


Course L1536: Material Modeling
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Swantje Bargmann, Dr. Benjamin Klusemann
Language DE/EN
Cycle WiSe
Content


  • fundamentals of finite element methods
  • fundamentals of material modeling
  • introduction to numerical implementation of material laws 
  • overview of modelling of different classes of materials
  • combination of macroscopic quantities to material microstructure
Literature

D. Raabe: Computational Materials Science, The Simulation of Materials, Microstructures and Properties, Wiley-Vch

J. Bonet, R.D. Wood, Nonlinear Continuum Mechanics for Finite Element Analysis, Cambridge

G. Gottstein., Physical Foundations of Materials Science, Springer


Module M1144: Manufacturing with Polymers and Composites - From Molecule to Part

Courses
Title Typ Hrs/wk CP
Manufacturing with Polymers and Composites (L0511) Lecture 2 3
From Molecule to Composites Part (L1516) Problem-based Learning 2 3
Module Responsible Prof. Bodo Fiedler
Admission Requirements Non
Recommended Previous Knowledge

Structure and Properties of Polymers

Structure and Properties of Composites

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students are able to give a summary of the technical details of projects in the area of civil engineering and illustrate respective relationships. They are capable of describing and communicating relevant problems and questions using appropriate technical language. They can explain the typical process of solving practical problems and present related results.

Skills

The students can transfer their fundamental knowledge on civil engineering to the process of solving practical problems. They identify and overcome typical problems during the realization of projects in the context of civil engineering. Students are able to develop, compare, and choose conceptual solutions for non-standardized problems.


Personal Competence
Social Competence

Students are able to cooperate in small, mixed-subject groups in order to independently derive solutions to given problems in the context of civil engineering. They are able to effectively present and explain their results alone or in groups in front of a qualified audience. Students have the ability to develop alternative approaches to an engineering problem independently or in groups and discuss advantages as well as drawbacks.

Autonomy

Students are capable of independently solving mechanical engineering problems using provided literature. They are able to fill gaps in as well as extent their knowledge using the literature and other sources provided by the supervisor. Furthermore, they can meaningfully extend given problems and pragmatically solve them by means of corresponding solutions and concepts.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written elaboration
Examination duration and scale 1,5 h
Assignment for the Following Curricula Materials Science: Specialisation Engineering Materials: Elective Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Course L0511: Manufacturing with Polymers and Composites
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bodo Fiedler
Language EN
Cycle SoSe
Content Manufacturing of Polymers: General Properties; Calendering; Extrusion; Injection Moulding; Thermoforming, Foaming; Joining
Manufacturing of Composites: Hand Lay-Up; Pre-Preg; GMT, BMC; SMC, RIM; Pultrusion; Filament Winding
Literature Osswald, Menges: Materials Science of Polymers for Engineers, Hanser Verlag
Crawford: Plastics engineering, Pergamon Press
Michaeli: Einführung in die Kunststoffverarbeitung, Hanser Verlag
Åström: Manufacturing of Polymer Composites, Chapman and Hall
Course L1516: From Molecule to Composites Part
Typ Problem-based Learning
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bodo Fiedler
Language DE/EN
Cycle SoSe
Content

Students get the task in the form of a customer request for the development and production of a MTB handlebar made ​​of fiber composites. In the task technical and normative requirements (standards) are given, all other required information come from the lectures and tutorials, and the respective documents (electronically and in conversation). 
  The procedure is to specify in a milestone schedule and allows students to plan tasks and to work continuously. At project end, each group has a made handlebar with approved quality.
In each project meeting the design (discussion of the requirements and risks) are discussed. The calculations are analyzed, evaluated and established manufacturing methods are selected. Materials are selected bar will be produced. The quality and the mechanical properties are checked. At the end of the final report created (compilation of the results for the "customers").
After the test during the "customer / supplier conversation" there is a mutual feedback-talk ("lessons learned") in order to ensure the continuous improvement.

Literature

Customer Request ("Handout")

Module M1182: Technical Elective Course for TMBMS (according to Subject Specific Regulations)

Courses
Title Typ Hrs/wk CP
Module Responsible Prof. Robert Seifried
Admission Requirements None
Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
Skills
Personal Competence
Social Competence
Autonomy
Workload in Hours Independent Study Time 138, Study Time in Lecture 42
Credit points 6
Examination according to Subject Specific Regulations
Examination duration and scale
Assignment for the Following Curricula Theoretical Mechanical Engineering: Specialisation Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Aircraft Systems Engineering: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Maritime Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Energy Systems: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Bio- and Medical Technology: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Numerics and Computer Science: Elective Compulsory

Module M1152: Modeling Across The Scales

Courses
Title Typ Hrs/wk CP
Modeling Across The Scales (L1537) Lecture 2 3
Modeling Across The Scales - Excercise (L1538) Recitation Section (small) 2 3
Module Responsible Prof. Swantje Bargmann
Admission Requirements None
Recommended Previous Knowledge

mechanics I

mechanics II

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge The students can describe different deformation mechanisms on different scales and can name the appropriate kind of modeling concept suited for its description.
Skills The students are able to predict first estimates of the effective material behavior based on the material's microstructure. They are able to correlate and describe the damage behavior of materials based on their micromechanical behavior. In particular, they are able to apply their knowledge to different problems of material science and evaluate and implement material models into a finite element code.
Personal Competence
Social Competence

The students are able to present solutions to specialists and to develop ideas further.

Autonomy

The students are able to assess their own strengths and weaknesses and to define tasks themselves.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Oral exam
Examination duration and scale
Assignment for the Following Curricula Computational Science and Engineering: Specialisation Scientific Computing: Elective Compulsory
Materials Science: Specialisation Modelling: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Course L1537: Modeling Across The Scales
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Swantje Bargmann, Dr. Benjamin Klusemann
Language DE/EN
Cycle SoSe
Content
  • modeling of deformation mechanisms in materials at different scales (e.g., molecular dynamics, crystal plasticity, phenomenological models, ...)
  • relationship between microstructure and macroscopic mechanical material behavior
  • Eshelby problem
  • effective material properties, concept of RVE 
  • homogenisation methods, coupling of scales (micro-meso-macro)
  • micromechanical concepts for the description of damage and failure behavior 


Literature

D. Gross, T. Seelig, Bruchmechanik: Mit einer Einführung in die Mikromechanik, Springer

T. Zohdi, P. Wriggers: An Introduction to Computational Micromechanics

D. Raabe: Computational Materials Science, The Simulation of Materials, Microstructures and Properties, Wiley-Vch

G. Gottstein., Physical Foundations of Materials Science, Springer


Course L1538: Modeling Across The Scales - Excercise
Typ Recitation Section (small)
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Swantje Bargmann
Language DE/EN
Cycle SoSe
Content


  • modeling of deformation mechanisms in materials at different scales (e.g., molecular dynamics, crystal plasticity, phenomenological models, ...)
  • relationship between microstructure and macroscopic mechanical material behavior
  • Eshelby problem
  • effective material properties, concept of RVE 
  • homogenisation methods, coupling of scales (micro-meso-macro)
  • micromechanical concepts for the description of damage and failure behavior 
Literature


D. Gross, T. Seelig, Bruchmechanik: Mit einer Einführung in die Mikromechanik, Springer

T. Zohdi, P. Wriggers: An Introduction to Computational Micromechanics

D. Raabe: Computational Materials Science, The Simulation of Materials, Microstructures and Properties, Wiley-Vch

G. Gottstein., Physical Foundations of Materials Science, Springer

Module M1170: Phenomena and Methods in Materials Science

Courses
Title Typ Hrs/wk CP
Experimental Methods for the Characterization of Materials (L1580) Lecture 2 3
Phase equilibria and transformations (L1579) Lecture 2 3
Module Responsible Prof. Patrick Huber
Admission Requirements

none.

Recommended Previous Knowledge

Fundamentals of Materials Science (I and II)

Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

The students will be able to explain the properties of advanced materials along with their applications in technology, in particular metallic, ceramic, polymeric, semiconductor, modern composite materials (biomaterials) and nanomaterials.

Skills

The students will be able to select material configurations according to the technical needs and, if necessary, to design new materials considering architectural principles from the micro- to the macroscale. The students will also gain an overview on modern materials science, which enables them to select optimum materials combinations depending on the technical applications.

Personal Competence
Social Competence

The students are able to present solutions to specialists and to develop ideas further.


Autonomy

The students are able to ...

  • assess their own strengths and weaknesses.
  • define tasks independently.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 90 min
Assignment for the Following Curricula Materials Science: Core qualification: Compulsory
Product Development, Materials and Production: Specialisation Product Development: Elective Compulsory
Product Development, Materials and Production: Specialisation Production: Elective Compulsory
Product Development, Materials and Production: Specialisation Materials: Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Course L1580: Experimental Methods for the Characterization of Materials
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Patrick Huber
Language DE/EN
Cycle SoSe
Content
  • Structural characterization by photons, neutrons and electrons (in particular X-ray and neutron scattering, electron microscopy, tomography)
  • Mechanical and thermodynamical characterization methods (indenter measurements, mechanical compression and tension tests, specific heat measurements)
  • Characterization of optical, electrical and magnetic properties (spectroscopy, electrical conductivity and magnetometry)


Literature

William D. Callister und David G. Rethwisch, Materialwissenschaften und Werkstofftechnik, Wiley&Sons, Asia (2011).

William D. Callister, Materials Science and Technology, Wiley& Sons, Inc. (2007).

Course L1579: Phase equilibria and transformations
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Jörg Weißmüller
Language DE
Cycle SoSe
Content

Fundamentals of statistical physics, formal structure of phenomenological thermodynamics, simple atomistic models and free-energy functions of solid solutions and compounds. Corrections due to nonlocal interaction (elasticity, gradient terms). Phase equilibria and alloy phase diagrams as consequence thereof. Simple atomistic considerations for interaction energies in metallic solid solutions. Diffusion in real systems. Kinetics of phase transformations for real-life boundary conditions. Partitioning, stability and morphology at solidification fronts. Order of phase transformations; glass transition. Phase transitions in nano- and microscale systems.

Literature Wird im Rahmen der Lehrveranstaltung bekannt gegeben.

Module M1142: Polymers and Composites

Courses
Title Typ Hrs/wk CP
Structure and Properties of Polymers (L0389) Lecture 2 3
Structure and Properties of Composites (L0513) Lecture 2 3
Module Responsible Prof. Bodo Fiedler
Admission Requirements Non
Recommended Previous Knowledge Basics: chemistry / physics / material science
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge

Students can use the knowledge of plastics and fiber-reinforced composites (FRP) and its constituents to play (fiber / matrix) and define the necessary testing and analysis.

They can explain the complex relationships structure-property relationship and

the interactions of chemical structure of the polymers, their processing with the different fiber types, including to explain neighboring contexts (e.g. sustainability, environmental protection).
Skills

Students are capable of

- using standardized calculation methods in a given context to mechanical properties (modulus, strength) to calculate and evaluate the different materials.

- Approximate sizing using the network theory of the structural elements implement and evaluate.

- For mechanical recycling problems selecting appropriate solutions and sizing example Stiffness, corrosion resistance.
Personal Competence
Social Competence

Students can,

- arrive at work results in groups and document them.

- provide appropriate feedback and handle feedback on their own performance constructively.
Autonomy

Students are able to,

- assess their own strengths and weaknesses

- assess their own state of learning in specific terms and to define further work steps on this basis guided by teachers.

- assess possible consequences of their professional activity.
Workload in Hours Independent Study Time 124, Study Time in Lecture 56
Credit points 6
Examination Written exam
Examination duration and scale 2,5 h
Assignment for the Following Curricula International Management and Engineering: Specialisation II. Product Development and Production: Elective Compulsory
Theoretical Mechanical Engineering: Specialisation Materials Science: Elective Compulsory
Theoretical Mechanical Engineering: Technical Complementary Course: Elective Compulsory
Course L0389: Structure and Properties of Polymers
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Dr. Hans Wittich
Language DE
Cycle WiSe
Content
Literature Ehrenstein: Polymer-Werkstoffe, Carl Hanser Verlag
Course L0513: Structure and Properties of Composites
Typ Lecture
Hrs/wk 2
CP 3
Workload in Hours Independent Study Time 62, Study Time in Lecture 28
Lecturer Prof. Bodo Fiedler
Language EN
Cycle WiSe
Content

- Microstructure and properties of the matrix and reinforcing materials and their interaction
- Development of composite materials
- Mechanical and physical properties
- Mechanics of Composite Materials
- Laminate theory
- Test methods
- Non destructive testing
- Failure mechanisms
- Theoretical models for the prediction of properties
- Application

Literature Hall, Clyne: Introduction to Composite materials, Cambridge University Press
Daniel, Ishai: Engineering Mechanics of Composites Materials, Oxford University Press
Mallick: Fibre-Reinforced Composites, Marcel Deckker, New York

Thesis

Master Thesis

Module M-002: Master Thesis

Courses
Title Typ Hrs/wk CP
Module Responsible Professoren der TUHH
Admission Requirements
  • According to General Regulations §24 (1):

    At least 126 ECTS credit points have to be achieved in study programme. The examinations board decides on exceptions.

Recommended Previous Knowledge
Educational Objectives After taking part successfully, students have reached the following learning results
Professional Competence
Knowledge
  • The students can use specialized knowledge (facts, theories, and methods) of their subject competently on specialized issues.
  • The students can explain in depth the relevant approaches and terminologies in one or more areas of their subject, describing current developments and taking up a critical position on them.
  • The students can place a research task in their subject area in its context and describe and critically assess the state of research.


Skills

The students are able:

  • To select, apply and, if necessary, develop further methods that are suitable for solving the specialized problem in question.
  • To apply knowledge they have acquired and methods they have learnt in the course of their studies to complex and/or incompletely defined problems in a solution-oriented way.
  • To develop new scientific findings in their subject area and subject them to a critical assessment.
Personal Competence
Social Competence

Students can

  • Both in writing and orally outline a scientific issue for an expert audience accurately, understandably and in a structured way.
  • Deal with issues competently in an expert discussion and answer them in a manner that is appropriate to the addressees while upholding their own assessments and viewpoints convincingly.


Autonomy

Students are able:

  • To structure a project of their own in work packages and to work them off accordingly.
  • To work their way in depth into a largely unknown subject and to access the information required for them to do so.
  • To apply the techniques of scientific work comprehensively in research of their own.
Workload in Hours Independent Study Time 900, Study Time in Lecture 0
Credit points 30
Examination according to Subject Specific Regulations
Examination duration and scale see FSPO
Assignment for the Following Curricula Civil Engineering: Thesis: Compulsory
Bioprocess Engineering: Thesis: Compulsory
Chemical and Bioprocess Engineering: Thesis: Compulsory
Computer Science: Thesis: Compulsory
Electrical Engineering: Thesis: Compulsory
Energy and Environmental Engineering: Thesis: Compulsory
Energy Systems: Thesis: Compulsory
Environmental Engineering: Thesis: Compulsory
Aircraft Systems Engineering: Thesis: Compulsory
Global Innovation Management: Thesis: Compulsory
Computational Science and Engineering: Thesis: Compulsory
Information and Communication Systems: Thesis: Compulsory
International Production Management: Thesis: Compulsory
International Management and Engineering: Thesis: Compulsory
Joint European Master in Environmental Studies - Cities and Sustainability: Thesis: Compulsory
Logistics, Infrastructure and Mobility: Thesis: Compulsory
Materials Science: Thesis: Compulsory
Mechanical Engineering and Management: Thesis: Compulsory
Mechatronics: Thesis: Compulsory
Biomedical Engineering: Thesis: Compulsory
Microelectronics and Microsystems: Thesis: Compulsory
Product Development, Materials and Production: Thesis: Compulsory
Renewable Energies: Thesis: Compulsory
Naval Architecture and Ocean Engineering: Thesis: Compulsory
Ship and Offshore Technology: Thesis: Compulsory
Theoretical Mechanical Engineering: Thesis: Compulsory
Process Engineering: Thesis: Compulsory
Water and Environmental Engineering: Thesis: Compulsory