Course title: Finite Element Exercises - HS-KARLSRUHE · be able to prepare metallographic...

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Course title: Finite Element Exercises Course code: M 7310 Type of course: Lecture Level of course: Master Degree programme: Mechanical Engineering and Mechatronics Year of study: First year ECTS Credits: 3 Semester: 1st or 2nd semester Name of the lecturer: Prof. Dr. Bernhardi Course contents: How to build good finite element models. Convergence behaviour. Influence of loading and boundary conditions. Modelling types: axisymmetric, plane stress, plane strain, volume and shell models. Beam element models in small and large displacement analysis. Meaning of stress components and effective stresses. Linear and non-linear static analyses. Thermo-mechanical analysis. Instability and frequency calculations using finite elements. Contact problems and plasticity. Prerequisites: Mathematics, Technical Mechanics Course objectives expressed in learning outcomes and competences: After having successfully completed the course, the students should be able to use a modern finite element analysis tool (e.g., ANSYS) to build, run and evaluate models of standard and moderately complex mechanical and thermo-mechanical problems. Language of instruction: German Teaching methods: Lecture supported by lecture notes and practical exercises in the computer lab Assessment methods: Written exam Written assignment Oral exam Presentation Project work Practical exercises Recommended reading: Lecture notes

Transcript of Course title: Finite Element Exercises - HS-KARLSRUHE · be able to prepare metallographic...

Page 1: Course title: Finite Element Exercises - HS-KARLSRUHE · be able to prepare metallographic microsections on their own, be able to produce and interpret digital micrographs be able

Course title: Finite Element Exercises

Course code: M 7310

Type of course: Lecture

Level of course: Master

Degree programme: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

3

Semester: 1st or 2nd semester

Name of the lecturer: Prof. Dr. Bernhardi

Course contents:

How to build good finite element models. Convergence behaviour. Influence of loading and boundary conditions. Modelling types: axisymmetric, plane stress, plane strain, volume and shell models. Beam element models in small and large displacement analysis. Meaning of stress components and effective stresses. Linear and non-linear static analyses. Thermo-mechanical analysis. Instability and frequency calculations using finite elements. Contact problems and plasticity.

Prerequisites: Mathematics, Technical Mechanics

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

be able to use a modern finite element analysis tool (e.g., ANSYS) to build, run and evaluate models of standard and moderately complex mechanical and thermo-mechanical problems.

Language of instruction: German

Teaching methods: Lecture supported by lecture notes and practical exercises in the computer lab

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: Lecture notes

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Course title: Metallography

Course code: M 7325

Type of course: Project

Level of course: Master

Degree Program: Mechanical Engineering

Year of study: First year

ECTS Credits:

2

Semester: 2nd semester

Name of the lecturer: Prof. Dr.-Ing. Rainer Schwab

Course contents:

In this project a complete product, e. g. a gearbox, will be investigated metallographically. Typical project steps include: planning, dismantling of the product, definition of the microsections, metallographic preparation, documentation and evaluation of the microstructure, hardness measurements, chemical analysis with the scanning electron microscope, literature survey, technical report, presentation to the group.

Prerequisites: Materials science with testing of materials (1st semester)

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

be able to plan this type of project work be able to prepare metallographic microsections on their own, be able to produce and interpret digital micrographs be able write an appropriate technical report be able to give a presentation of the project results

Language of instruction: German

Teaching methods: Project work, laboratory work

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: Course handout

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Course title: Refrigeration 2 (Advanced Refrigeration)

Course code: M 8485

Type of course: Lecture

Level of course: Master

Degree Program: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

3

Semester: 2nd semester

Name of the lecturer: Prof. Dr. Michael Arnemann

Course contents:

Carré absorption cycle: principle, working fluids, state diagrams: lg p, 1/T-diagram and h,xi-diagram; Peltier process; ejector cycles; expansion cycles; cryogenic cycles; properties of mixtures like oil-refrigerant mixtures

Prerequisites: Thermodynamics and heat transfer, Fluid Dynamics

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

know alternative refrigeration processes and cycles like sorption processes (absorption, adsorption), ejection cycles and systems, expansion cycles (Joule Thomson Effect), Peltier effect,

understand the function and the design of heat pumps and their applications.

Language of instruction: german

Teaching methods: Lecture supported by blackboard notes, Power Point slides, formulars and diagrams, animations of processes and eLearning units in ILIAS.

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: Lehrbuch der Kältetechnik. 4. Aufl. Karlsruhe : C. F. Müller, 1997 – ISBN 3-7880-7509-0 The ASHRAE handbook CD+ : The complete set of I-P and SI ed. with supplemental and interactive features; 2006 Refrigeration; 2005 Fundamentals; 2004 HVAC Systems and Equipment; 2003 HVAC Applications. Atlanta, Ga. : ASHRAE, 2006 – ISBN 1-931862-89-3

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Course title: Technical Acoustics

Course code: M 8545

Type of course: Lecture

Level of course: Master

Degree Program: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

2

Semester: 2nd semester

Name of the lecturer: Prof. Dr.-Ing. Tarik Akyol

Course contents:

Theoretical foundations: Vibrations and waves, sound waves and sound fields, definitions of sound field quantities and units, superposition of sound fields, spectral analysis, octave and Fourier analysis, psychological quantities Machine noise: fundamental equations, excitation of machine noise, structure-borne sound transmission, damping, isolation and insulation of structure-borne sound, air-borne sound and insulation mechanisms

Prerequisites: none

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

understand the generation and transmission of structure- and air-borne sound of mechanical systems,

know measures to avoid or reduce noise and apply this knowledge in the development process of products and systems.

Language of instruction: German

Teaching methods: Lecture supported Power Point slides, transparencies and product presentations

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: Veit, Ivar: Technische Akustik, 5. Auflage, Vogel Kamprath-Reihe, 1996 Henn, Hermann / Sinambari, Gholam Reza / Fallen, Manfred: Ingenieurakus-tik, Vieweg, 2008 Heckl, M. / Müller, H. A.: Taschenbuch der Technischen Akustik, 2. Aufl., Springer, Berlin, 1994 Zwicker, E. / Fastl, H.: Psychoacoustics – Facts and Models, Springer, Berlin, 1999 Schick, August: Das Konzept der Belästigung in der Lärmforschung, Pabst Science Publishers, Lengerich, 1997 Kryter, K. D.: The Handbook of Hearing and the Effects of Noise. Physiology, Psychology and Public Health. San Diego: Academic Press 1994.

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Course title: Production Technology 3

Course code: M 8620

Type of course: Lecture

Level of course: Master

Degree programme: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

3

Semester: 1st or 2nd semester

Name of the lecturer: Prof. Dr. Rüdiger Haas

Course contents:

Structure of the die and tool making industry, tool selection for high speed cutting of graphite and hardened steel, selection of appropriate milling strategies, electro-discharge machining, the CAD CAM process chain, application of the key technologies, preset of work pieces.

Prerequisites: Production Technology 1

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

have knowledge of the topics mentioned above, be able to use these technologies and the corresponding

machines in praxis.

Language of instruction: German

Teaching methods: Lecture supported by lecture notes, Power Point slides, transparencies, films, practical exercises and material from LARS projects.

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Participation in the practical lessons

Recommended reading: Lecture notes König; Fertigungstechnik Spuhr; Fertigungstechnik Actual materials of machine manufacturers

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Course title: Ice Slurry Technology

Course code: M 8670

Type of course: Lecture

Level of course: Master

Degree programme: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

3

Semester: 2nd semester

Name of the lecturer: Prof. Dr. Michael Kauffeld

Course contents:

Ice creation and thermo-physical properties of ice slurries and other characteristics, fluid dynamics and thermodynamics of ice slurry, heat transfer, ice slurry production, different ice slurry generators, transport of ice slurries in piping systems, storing/melting and mixing, melting ice slurry in plate heat exchangers and air coolers, direct contact chilling and freezing of foods in ice slurries, the control of ice slurry systems, present and future applications in comfort cooling, food processing and other areas

Prerequisites: Refrigeration Engineering 1

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

be able to name and describe the main functions of an ice slurry system,

be able to describe advantages and inconveniences of individual ice slurry production methods,

be able to evaluate ice slurry systems and to find suitable applications.

Language of instruction: German

Teaching methods: Lecture supported by Power Point slides and transparencies

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: Kauffeld, M. et al.: Handbook on Ice Slurries, International Institute of Refrigeration, Paris, 2005, ISBN 2-913149-42-1

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Course title: Simulation of Thermal Systems

Course code: M 8690

Type of course: Exercises

Level of course: Master

Degree Program: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

3

Semester: 2nd semester

Name of the lecturer: Prof. Dr. Michael Arnemann

Course contents:

The following tools will be presented exemplarily: Coolpack und EES (Engineering Equation Solver) Other topics to be adressed are:

Calculation and presentation of fluid property data by means of the equations of state: mathematical structure of equations, methods for solving these equations for pure fluids and mixtures

Calculation of thermodynamic processes of power plants, heat pumps and refrigeration systems (compression cycles, absorption cycles, one- and multistage cycles, cascades, etc.)

Prerequisites: Thermodynamics and heat transfer

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

know the theory of equations of state and the interdependencies between thermal and caloric equations of state,

know different software tools to calculate thermophysical properties of fluids,

be able to design, simulate and analyse different complex thermal systems,

be able to use the software tools to solve the problems mentioned above.

Language of instruction: In general, the lecture is held in German. Handbook, help system and software, however, are in English

Teaching methods: Theroretical part: Lecture supported by lecture notes, blackboard notes (30 %), Power Point slides and the specific software mentioned above to calculate cycles and properties (10 %) Exercises: The students use software tools to solve problems with the help of the computer (60%)

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: Lecture notes, software manuals, books about thermodynamics and heat transfer

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Course title: Ergonomics and Occupational Health and Safety

Course code: M 9555

Type of course: Lecture

Level of course: Master

Degree programme: Mechanical Engineering

Year of study: Second year

ECTS Credits:

3

Semester: 3rd semester

Name of the lecturer: Prof. Hartmut Dalluhn

Course contents:

Introduction to Ergonomics. Work evaluation criteria. Positions regarding work and technology. Work physiology, stress, motivation and commitment, fatigue, and recovery. Work psychology. Work environment and workplace design. Ergonomic design of technical equipment. Protection equipment and safety and occupational health. Statutory duties and legal consequences, prescriptions and values. Hazard analysis by means of examples. Occupational diseases and insurance protection.

Prerequisites: none

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

be acquainted with work conditions and be able to create evaluation and design rules for an ergonomic workplace,

be acquainted with occupational health and safety, hazard analyses and the prevention of accidents.

Language of instruction: German

Teaching methods: Lecture supported by lecture notes, blackboard notes, transparencies and videos

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: Lecture notes and literature list included therein

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Course title: Fundamentals of Numerical Simulation I

Course code: MMM 111

Type of course: Lecture

Level of course: Master

Degree Program: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

3

Semester: 1st semester

Name of the lecturer: Halter

Course contents:

Introduction to vector analysis

Prerequisites: Advanced calculus I and II

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

have basic knowledge in vector analysis (line integrals, integration methods in two and three dimensions, gradient, divergence, curl, integral theorems)

Language of instruction: German

Teaching methods: Lecture supported by blackboard notes and transparencies

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading:

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Course title: Fundamentals of Numerical Simulation II

Course code: MMM 112

Type of course: Lecture

Level of course: Master

Degree Program: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

2

Semester: 1st semester

Name of the lecturer: Prof. Dr. Ottmar Beucher

Course contents:

• Terms of analog and discrete signal processing • Mathematical methods of system theory - Laplace transformation - Fourier transform - Z-transformation - Differential equations and state space representation • The sampling theorem and its implications • Methods of discrete signal processing • Mathematical foundations of stochastic signals

Prerequisites: Well-founded knowledge in Mathematics 1, 2 and 3, Safe handling of MATLAB and Simulink

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

have learned the mathematical methods for solving problems in automation and digital signal processing.

Language of instruction: German

Teaching methods: Lecture supported by lecture notes, blackboard notes and Power Point slides

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: • Lecture notes • Beucher: MATLAB and Simulink

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Course title: Selected chapters of Engineering Mathematics

Course code: MMM 113

Type of course: Lecture

Level of course: Master

Degree Program: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

3

Semester: 1st semester

Name of the lecturer: Prof. Dr. Ottmar Beucher

Course contents:

This lecture covers selected practical mathematical methods in the field of engineering. The contents may vary. Currently offered: Mathematical optimation

Introduction examples, mathematical modeling Linear optimation and simplex algorithms Nonlinear optimation Optimation tasks without explicit restrictions Numerical methods for non-restricted problems Quadratic programs Gradients, Newton and quasi-Newton methods Optimation tasks with explicit restrictions

Non-standard optimation

Monte Carlo methods Heuristic pptimation procedure Direct search methods Simulated annealing Genetic algorithms

Prerequisites: Well-founded mathematical skills (Bachelor's level in a technical degree program)

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

know the most important terms of mathematical optimation, be able to apply the basic methods of mathematical

optimation (possibly using MATLAB), be able to apply some modern methods of SoftComputing.

Language of instruction: German

Teaching methods: Lecture supported by lecture notes, blackboard notes and Power Point slides

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Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: • Lecture notes • Beucher: MATLAB and Simulink

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Name of the module: Key Qualification 1

Level of the module: Master

Shortname: M 1

Subtitle:

Name of the lecture: Business Formation

Academic year: Studyterm:

1 1

Responsible person: Prof. Dr. Edwin Hettesheimer

Lecturer: Prof. Dr. Edwin Hettesheimer

Language: German

Curriculum Course of Studies "Master MMT"

Kind of training: Lecture 2 SWS with integrated exercises

Workload: Overall time: 60 h; attendance time: 30 h; self-study: 30 h

Credits: 2

Necessary conditions: none

Recommended conditions: Basics in Economics

Learning outcome: The students will be sensitized in the process of business formation. The focus will be on creating a Business Plan and how to manage human ressources. After a successful conclusion the student is enabled to:

evaluate the process of business formation arrange a market analysis

Contents: Assessment-Center Management of Innovations, Creation of a Business- Ideas, Tools for Marketresearch.

Examination: The exercises will be evaluated

Kind of teaching: Casestudies

Literature: Weule Hartmut Integriertes Forschungs- und Entwicklungsmanagement : Grundlagen, Strategien, Umsetzung / Hartmut Weule. - München ; Wien : Hanser, 2002

Schwab, Adolf J.

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Managementwissen für Ingenieure : Führung, Organisation, Existenzgründung / Adolf Schwab. - 3., neubearb. Aufl.. - Berlin ; Heidelberg : Springer, 2004

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Course title: Computer-integrated Production Processes

Course code: MMM 131

Type of course: Lecture

Level of course: Master

Degree Program: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

3

Semester: 1st semester

Name of the lecturer: Prof. Dr. Rüdiger Haas

Course contents:

Computer-assisted manufacturing processes, EDM, HSC, HPC

Prerequisites: none

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

be able to realise a CNC-controlled production process, be able to assess the complete CAx process chain.

Language of instruction: German

Teaching methods: Lecture supported by practical work in the laboratory

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: Klocke; Fertigungstechnik Weck; Werkzeugmaschinen

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Course title: Numerical Fluid Dynamics Simulation I

Course code: MMM 132

Type of course: Lecture

Level of course: Master

Degree Program: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

3

Semester: 1st semester

Name of the lecturer: Prof. Dr. E. Martens

Course contents:

Short repetition of fluid dynamics with special regard to the derivation of the three-dimensional Navier-Stokes-Equation with losses

Formulation of the energy equation of compressible and incompressible flows with losse.

Introduction to turbulence models and their contribution to calculate the flow

Basics of the potential theory Introduction to the handling of a program to simulate three-

dimensional flows (CFD)

Prerequisites: none

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

have an overview on methods to solve differential equations of three-dimensional flows,

know how to solve one-dimensional problems with an commercial program for pipe flows,

be able to calculate specific problems by means of the potential theory.

Language of instruction: German

Teaching methods: Lecture supported by blackboard notes, transparencies and practical computer-assisted exercises

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: Oertel: Strömungsmechanik Oertel: Laurien: Numerische Strömungsmechanik Noll: Numerische Strömungsmechanik Ferziger, Peric: Computational Methods for Fluid Dynamics John F. Wendt (Ed.): Computational Fluid Dynamics, A von

Karman Institute Book C. Hirsch: Numerical Computation of Internal and External Flows

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Course title: Modeling Methods

Course code: MMM 141

Type of course: Lecture

Level of course: Master

Degree programme: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

4

Semester: 1st semester

Name of the lecturer: Prof. Dr. Bernhardi

Course contents:

Introduction to modern CAD design methods in engineering. Solid / Volume modelling, Shape design, surface modelling, assemblies. Structural analysis.

Prerequisites: CAD Design, Technical Mechanics

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

be able to apply modelling methods to real-world design processes by using a modern CAD program (e.g. CATIA 5).

Language of instruction: German

Teaching methods: Lecture supported by lecture notes and practical exercises with CATIA

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: Matthias Talarczyk, "CATIA V5. Einstieg und effektives Arbeiten". Pearson 2004

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Course title: Modeling and Automation

Course code: MMM 142

Type of course: Lecture

Level of course: Master

Degree programme: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

3

Semester: 1st semester

Name of the lecturer: Prof. Dr. Hans-Werner Dorschner

Course contents:

Basics of instrumentation and bus technology Special methods of the mathematical description of digital control

systems (i.e. state space description of dynamic systems, observer systems)

Digital signal processing Parameter estimate algorithms Implementation of digital automatic controllers on DCS systems

Prerequisites: Basic knowledge in Electronics and Automation according to the curriculum oft the Bachelor degree in Mechanical Engineering

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

be able to analyse and understand the structure of complex automation systems,

be able to work out a concept for the automation of complex systems and to implement this concept in a DCS-based system.

Language of instruction: German

Teaching methods: Lecture supported by lecture notes, lab exercises and exercises on the interactive E-learning platform "VLU"

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: see lecture notes

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Course title: Computer Science for Engineers

Course code: MMM 151

Type of course: Lecture

Level of course: Master

Degree Program: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits: 4

Semester: 1st semester

Name of the lecturer: Prof. Dr. Wolfgang Hoheisel, Prof. Dr. Ewald Düser

Course contents:

Product planning, types of design, workflow systematical design, requirements specifications and functional specifications, function structure, technical and financial quality rating

Introduction to computer-based product and processdevelopment Structure of CAD hardware and software, interfaces The CAx process chain Approach to the introduction of CAx-systems

Prerequisites: CAD/CAM I

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

be able to structure a complex technical problem and to solve it with modern solution finding methods,

have gained an overview on the varied and broad fields of applications related to virtual product and process development,

be able to estimate the complexity of a systematical introduction of virtual product and process development.

Language of instruction: German

Teaching methods: Computer-based lecture supported by lecture notes, Power Point slides and CAD presentations and exercises

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: Lecture notes 2007 Grabowski, H.; Anderl, R.; Polly, A.: Integriertes Produktmodell; Beuth Verlag, 1998 N.N.: Normung von Schnittstellen für die rechnerintegrierte Produktion (CIM), Standortbestimmung und Handlungsbedarf; DIN Fachbericht Nr. 15; Beuth Verlag; Berlin; 1987 Ehrlenspiel, Klaus: Integrierte Produktentwicklung. Methoden für Prozeßorganisation, Produkterstellung und Konstruktion. Hanser, 2. 2002 Spur, Günter; Krause, Frank-Lothar: Das virtuelle Produkt. Hanser, 1997 Produktdatentechnologie A, CAD-Systeme und CAx-Prozessketten. Skript zur Vorlesung von Prof. Dr.-Ing. R. Anderl, Techn. Universität Darmstadt, 2005

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Course title: Engineering Database

Course code: MMM 152

Type of course: Lecture

Level of course: Master

Degree programme: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

2

Semester: 1st semester

Name of the lecturer: Dipl.-Ing. Joachim Röder

Course contents:

Introduction to Product Data Management and Product Modeling Methods for structuring product data Organisational processes in an engineering environment Usage of PDM methodology in linking CAD and ERP Systems IT technology for PDM systems

Prerequisites: none

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

understand the importance of managing product data as part of an engineering process,

know about the functionality of a PDM (product data management) system and be able to use such a system in conjunction with CAD systems,

have a basic understanding of the possibilities to adapt a PDM system to a company’s specific requirements.

Language of instruction: German

Teaching methods: Lecture supported by lecture notes, Power Point slides and practical exercises

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: • Martin Eigner, Ralph Stelzer: Produktdatenmanagment-Systeme. Ein Leitfaden für Product Development und Life Cycle Management. Springer, 2001. (BLB: 101A11778) • Antti Saaksvuori, Anselmi Immonen: Product Lifecycle Management. Springer, 2002. (Englisch, BLB: 103A12589) • John Stark: Product Lifecycle Management. Springer, 2005. (Englisch, BLB: 105A2132)

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Course title: Selected Chapters of the Finite Element Method

Course code: MMM 211

Type of course: Lecture

Level of course: Master

Degree programme: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

3

Semester: 2nd semester

Name of the lecturer: Prof. Dr. Bernhardi

Course contents:

Formulation of planar heat transfer elements as an example for the isoparametric finite element concept. Partial differential equations and their corresponding integral formulation using the example of the heat transfer equation. Four node planar heat conduction elements. Plane quadratic continuum elements. Numerical integration methods. Solution methods. Linear dynamics and finite elements.

Prerequisites: Basics of the Finite Elements Method, Continuum Mechanics and Heat Transfer, Applied Mathematics, Technical Mechanics

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

be able to assess and design more complex finite element analyses,

be able to critically assess analysis results.

Language of instruction: German

Teaching methods: Lecture supported by lecture notes and practical exercises with ABAQUS

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: Lecture notes

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Course title: Advanced Strength of Materials

Course code: MMM 212

Type of course: Lecture

Level of course: Master

Degree Program: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

2

Semester: 2nd semester

Name of the lecturer: Prof. Dr.-Ing. Otto Theodor Iancu

Course contents:

The lecture is divided into ten chapters with equal weighting of theoretical content. The theory portion is 20 h (2 / 3) of the lecture time. The application examples and integrated exercises take 10 h (1 / 3) of the lecture time. Chapters:

1. 3-D stress state 2. Principal stresses, stress invariants, deviators 3. Strength of material hypotheses, equilibrium, boundary conditions 4. Deformation and strain 5. Hooke's law, thermal strains 6. Plane stress and plane strain 7. Stress function, application examples 8. Thermal stresses 9. Energy Principles 10. Plasticity

Prerequisites: Statics, Strength of Materials, Applied Mathematics

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

be able to recognise 3-dimensional stress and strain states, be able to mathematically describe the states of stress and strain, be able to formulate and use analytical models for the calculation, be able to use mathematical models to calculate elasto-plastic

material behaviour, be able to compare and interpret the results of the calculation by

using different methods.

Language of instruction: German/English

Teaching methods: Lecture supported by lecture notes and Power Point slides

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

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Recommended reading: Lecture notes Groß, Hauger, Schnell, Technische Mechanik 4 Malvern, Introduction to the Mechanics of a Continous Medium Fung, Foundation of Solid Mechanics Timoshenko, Goodier, Theory of Elasticity

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Course title: HeatTransfer

Course code: MMM 213

Type of course: Lecture

Level of course: Master

Degree Program: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

2

Semester: 2nd semester

Name of the lecturer: Prof. Dr. Michael Arnemann

Course contents:

Introduction in calculation methodes for heat transfer phenomena: conduction, convection, radiation, steady state conduction, heat transfer resistant in plain walls, cylinders and speres; differential equations of Fourier; boundary conditions; transient conduction, lumped capacity; Radiation: processes and properties, radiation exchange between surfaces Convection: forced and free convection, evaluation of Nusselt-numbers Heat exchangers: methodology of calculations, effectiveness NTU method, log mean temperature difference

Prerequisites: Thermodynamics

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

understand the basic phenomena of heat transfer, be able to describe the phenomena with mathematical methods, be able to calculate steady state and transient conduction, be able to calculate radiation exchange between surfaces, be able to calculate heat transfer coefficients by Nusselt numbers, be able to design and evaluate heat exchangers.

Language of instruction: German

Teaching methods: Lecture supported by lecture notes, blackboard notes, Power Point slides, eLearning modules and the software Engineering Equation Solver (EES)

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: POLIFKE, Wolfgang; KOPITZ, Jan: Wärmeübertragung. München [u.a.]: Pearson Studium, 2005. - ISBN 382737104X, 492 Seiten INCROPERA, Frank P.; DEWITT, David P.: Fundamentals of heat and mass transfer. 5. Aufl. New York, NY [u.a.]: Wiley, 2002. - ISBN 0-471-38650-2, 980 pages

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Course title: Fibre-Reinforced Materials

Course code: MMM 220

Type of course: Lecture

Level of course: Master

Degree Program: Mechanical engineering and Mechatronics

Year of study: First year

ECTS Credits:

3

Semester: 2nd semester

Name of the lecturer: Prof. Dr. Frank Michael Pöhler

Course contents:

The most popular fibres and resin materials which are used for fibre reinforced parts are explained and their pros and cons are listed. In addition, the most frequently used production processes are described in consideration of whether they are mass- or single-production processes. The strength of materials and joints to connect fibre reinforced parts to other structural elements are other topics of this course.

Prerequisites: none

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

know the different fibre and resin materials, be able to decide which processing technology can be used to

produce a fibre-reinforced part by taking into account the thermal and mechanical application of loads.

Language of instruction: German

Teaching methods: Lecture supported by lecture notes, blackboard notes, Power Point slides, transparencies and product examples

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: • Course materials Hochschule Karlsruhe für Technik und Wirtschaft • Kindervater - Technologie und Dimensionierungsgrundlagen für Bauteile aus Faserkunststoffverbund, DLR Institut für Bauweisen und Konstruktionsforschung Stuttgart 2001 • Ehrenstein - Faserverbund-Kunststoffe Werkstoffe - Verarbeitung – Eigenschaften, Carl Hanser Verlag München Wien 2006 • Neitzel, Mitschang - Handbuch Verbundwerkstoffe, Carl Hanser Verlag München Wien 2004 • Michaeli, Wegener, Huybrecht - Dimensionieren mit Faserverbundkunststoffen, Carl Hanser Verlag München Wien 1994 • Puck - Festigkeiten von Faser-Matrix-Laminaten, Carl Hanser Verlag München Wien 1996

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Course title: Development Methods

Course code: MMM 232

Type of course: Lecture

Level of course: Master

Degree Program: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

3

Semester: 2nd semester

Name of the lecturer: Prof. Dr. Peter Weber

Course contents:

Similarity Groupings

Similarity groupings as a challenge Basics of the mathematical background The most important laws of the technique Similar converters and transformers Electrodynamic transducers Cost management in similarity groupings

Prerequisites: Basic knowledge of methodic processes and cost management

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

understand basic methods of similarity groupings, understand the similarity thinking in the product development

process, have basic knowledge of cost management.

Language of instruction: German

Teaching methods: Lecture supported by blackboard notes, Power Point slides and selected examples

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: Gerhard, Edmund: Baureihenentwicklung – Konstruktionsmethode Ähnlichkeit. Band 105 Kontakt&Studium, expert verlag, 1984 Weber, Peter: Kostenrechnung für Entwickler und Konstrukteure, expert verlag, erscheint 2009. Weber, Peter: Manuskript Produktentwicklung in der Mechatronik

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Course title: Intelligent Mechatronic Systems

Course code: MMM 241

Type of course: Lecture

Level of course: Master

Degree Program: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

3

Semester: 2nd semester

Name of the lecturer: Frank Artinger, Klemens Gintner, N.N.

Course contents:

Part A: Smart Sensor Systems Introduction to sensor systems The influence of manufacturing conditions and other influences on

the functionality of a sensor system shown by means of concrete examples

(Smart) adjustment of manufacturing tolerances and achievable performance improvement

Plausibility conditions and testing (data fusion) (Intelligent) interface implementation (bus technology: CAN-

(OPEN), FlexRay, LIN, …) Outlook on possible extensions of functions on the basis of data

fusion Part B: Intelligent systems in automation technology

Introduction to and overview on intelligent automation solutions Short introduction to relevant areas of AI (Artificial Intelligence) Vertical integration and interfaces (field level - HMI level - MES /

ERP level) (Smart) data aggregation and processing Industrial examples to validate the application

Prerequisites: none

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

know how to approach practical problems concerning the design, structure and function of complex mechatronic systems,

understand the importance of signal paths related to different interfaces,

be able to design and validate complex mechatronic systems.

Language of instruction: German

Teaching methods: Lecture ssupported by lecture notes, blackboard notes and Power Point slides

Assessment methods: Written exam Written assignment

Presentation Project work

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Oral exam Practical exercises

Recommended reading: • Documentation - Marek et. al.: Sensors for Automotive Sensors, Volume 4, Wiley-VCH, 2003 - Göpel et. al., Sensors, Volume 5, Wiley-VCH, 1989 - Schmidt, Sensor-Schaltungstechnik, Vogel-Verlag, 1997 - J.Fulcher, L.C.Jain: Applied Intelligent Systems. New Directions, Springer, 2004 - De-Shuang Huang, Kang Li, George W. Irwin: Intelligent Control and Automation, Springer, 2006

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Course title: Electrical Drives in Mechatronics

Course code: MMM 242

Type of course: Lecture

Level of course: Master

Degree Program: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

3

Semester: 2nd semester

Name of the lecturer: Prof. Dr. Norbert Skricka

Course contents:

The course contains selected areas of electrical drives, including magnetic circuits, several electrical machines, power electronics and gears

Prerequisites: Basic knowledge in Electrical Engineering and Mechanics

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

know how to calculate magnetic circuits: stationary magnetic fields, quasi-stationary magnetic fields, soft and hard magnetic materials, energy conversion and magnetic forces, calculation of magnetic fields (network method),

know the fundamentals of DC and AC motors: assembly, operation and performance of DC motors, particularl DC motors with a permanent magnets and universal motors

know about the assembly, operation and performance of 3-phase and 1-phase induction motors, synchronous motors and servo motors,

know the basics of power electronics: components of power electronics, rectifiers and controlled rectifiers, control of DC, AC and servo motors,

know the basics gears: gear principles, adaptation of gears for steady state and transient operations.

Language of instruction: German

Teaching methods: Lecure supported by lecture notes, transparencies and Power Point slides

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: - Lecture notes - Kallenbach, E., Eick, et al.: Elektromagnete. Teubner, 2003 - Fischer, R.: Elektrische Maschinen. Hanser, 2004 - Stölting, H.: Handbuch Elektrische Kleinantriebe, Fachbuchverlag Leipzig, 2006 - Hagmann, G.: Leistungselektronik. Aula, 1998

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Course title: Virtual Factory

Course code: MMP 231

Type of course: Lecture

Level of course: Master

Degree programme: Mechanical Engineering

Year of study: First year

ECTS Credits:

3

Semester: 2nd semester

Name of the lecturer: Prof. Hartmut Dalluhn

Course contents:

Term definitions and tasks of a factory. Planning principles. The systematical planning process, objectives, rough planning. Master plan, detailed planning. Factories and change, change processes, added-value chain. Development of flexible factory structures, the digital and virtual factory, different systems and examples of realised factories.

Prerequisites: none

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

be acquainted with the holistic planning of a factory.

Language of instruction: German

Teaching methods: Lecture supported by lecture notes, blackboard notes and transparencies

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: Lecture notes and literature list included therein

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Course title: Robot Technology

Course code: MMP 241

Type of course: Lecture

Level of course: Master

Degree programme: Mechanical Engineering

Year of study: First year

ECTS Credits:

3

Semester: 2nd semester

Name of the lecturer: Prof. Hartmut Dalluhn

Course contents:

Historical development of robot technology. Requirements of industrial robots, available robots and future development lines. Detailed analysis of components and inspection equipment. System analysis. Sensors and sensor-guided industrial robots, image processing technology. Grippers and assembly-compatible product design. Use of tools, different control types for industrial robots. Design of complex system solutions.

Prerequisites: M 8655 Robot Technology (with Laboratory)

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

have enhanced their knowledge of robot technology.

Language of instruction: German

Teaching methods: Lecture supported by lecture notes, blackboard notes, transparencies and videos

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: Lecture notes and literature list included therein

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Course title: Multi-Body Dynamics

Course code: MMP 242

Type of course: Lecture

Level of course: Master

Degree Program: Mechanical Engineering and Mechatronics

Year of study: First year

ECTS Credits:

3

Semester: 2nd semester

Name of the lecturer: Prof. Dr.-Ing. Tarik Akyol

Course contents:

Classification of vibrations Linear vibrations with one degree of freedom (damping, exitation,

etc.) Vibration of continuous systems (torsional, longitudinal and

bending vibrations)

Prerequisites: Technical Mechanics 3 (Dynamics)

Course objectives expressed in learning outcomes and competences:

After having successfully completed the course, the students should

be able to model and analyse complex dynamical systems.

Language of instruction: German

Teaching methods: Lecture supported by blackboard notes, Power Point slides, transparencies and practical exercises

Assessment methods: Written exam Written assignment Oral exam

Presentation Project work Practical exercises

Recommended reading: 1. H. Irretier: Grundlagen der Schwingungstechnik 1 Vieweg 2000, ISBN 3-528-03906-X 2. H. Irretier, Grundlagen der Schwingungstechnik 2 Vieweg 2001, ISBN 3-528-03907-8 3. J. Wittenburg: Schwingungslehre Springer 1996, ISBN 3-540-61004-9 4. P. Hagedorn, S. Otterbein: Technische Schwingungslehre I Springer 1987, ISBN 3-540-18096-6 5. P. Hagedorn: Technische Schwingungslehre II Springer 1989, ISBN 3-540-50869-4 6. F. Holzweißig, H. Dresig: Lehrbuch der Maschinendynamik Fachbuchverlag Leipzig 1994, 3-343-00866-4 7. Thomson, Dahleh: Theory of Vibration with Applications Prentice Hall, 5. Aufl 1998, ISBN 0-13-651068-X8 8. S.G. Kelly: Schaum’s Outline of Mechanical Vibrations McGraw-Hill 1996, ISBN 0-07-034041-2