Module Handbook for the Master’s Degree Course · 2020. 10. 9. · Module Handbook for the...
Transcript of Module Handbook for the Master’s Degree Course · 2020. 10. 9. · Module Handbook for the...
Module Handbook for the Master’s Degree Course
‘Networked Production Engineering (M.Sc.)’
Track: Smart Factory
1
Table of Contents
Compulsory Courses – First Semester .................................................................................................... 3
Program specific ........................................................................................................................................ 3
Module: Mechatronic and Control Techniques for Production Plants ................................................ 3
Module: Manufacturing Technology I ................................................................................................. 7
Compulsory Course – First Semester .................................................................................................... 10
Track specific ............................................................................................................................................ 10
Module: Model based Systems Engineering .................................................................................... 10
Elective Courses – First and Third Semester ........................................................................................ 13
Module: Advanced Software Engineering ........................................................................................ 13
Module: Modeling, Model Reduction and Simulation in Laser Processing - Applications ............... 16
Module: Tribology ............................................................................................................................. 20
Module: Gear and Transmission Technology .................................................................................. 24
Module: Simulation Techniques in Manufacturing Technology ....................................................... 27
Module: High Precision Glass Optics Manufacturing ....................................................................... 31
Module: Control Engineering ............................................................................................................ 35
Module: Robotic Systems ................................................................................................................ 38
Compulsory Course – First Semester .................................................................................................... 42
Language Course ..................................................................................................................................... 42
Module: Language Course (1) ......................................................................................................... 42
Compulsory Courses – Second Semester ............................................................................................. 44
Program specific ...................................................................................................................................... 44
Module: Manufacturing Technology II .............................................................................................. 44
Module: Production Management B ................................................................................................. 47
Compulsory Courses – Second Semester ............................................................................................. 50
Track specific ............................................................................................................................................ 50
Module: Embedded Systems ........................................................................................................... 50
Module: International Factory Planning............................................................................................ 53
Elective Courses – Second or Fourth Semester ................................................................................... 58
Module: Industrial Logistics .............................................................................................................. 58
Module: Production Metrology ......................................................................................................... 61
Module: Modeling, Model Reduction and Simulation in Laser Processing - Laser .......................... 65
Module: Modeling, Model Reduction and Simulation in Laser Processing - Design ....................... 69
Module: Multibody Dynamics ........................................................................................................... 73
Module: Welding and Joining Technologies .................................................................................... 77
2
Module: Intelligent Monitoring of Engineering Systems ................................................................... 80
Module: Industrial product development process - battery systems for hybrid & electric vehicles .. 83
Compulsory Course – Second Semester ............................................................................................... 87
Language Course ..................................................................................................................................... 87
Module: Language Course (2) ......................................................................................................... 87
Compulsory Course – Third Semester ................................................................................................... 89
Program specific ...................................................................................................................................... 89
Module: Quality Management .......................................................................................................... 89
Compulsory Course – Third Semester ................................................................................................... 93
Track specific ............................................................................................................................................ 93
Module: Process Analysis in Manufacturing Technology................................................................. 93
Elective Courses – Third Semester ........................................................................................................ 97
Practicale Experiences or Elective Courses ......................................................................................... 97
Module: Internship ............................................................................................................................ 97
Compulsory Course – Third Semester ................................................................................................. 100
Language Course ................................................................................................................................... 100
Module: Linguistic Elective ............................................................................................................. 100
Compulsory Course – Fourth Semester .............................................................................................. 102
Master Thesis .......................................................................................................................................... 102
Module: Master Thesis ................................................................................................................... 102
3
Compulsory Courses – First Semester
Program specific
Module: Mechatronic and Control Techniques for Production Plants
Module Mechatronics and Control Techniques for Production Plants
Module level Master
Subtitle MCP
Lecture See list of lectures and examinations of the module
Semester allocation 1
Person in charge Univ.-Prof. Dr.-Ing. Christian Brecher
Lecturer Univ.-Prof. Dr.-Ing. Christian Brecher
Language English
Assignment to the
curriculum Compulsory module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 180h, Lecture hours 60h (4 SWS), Self-study 120h
Lecture hours 60h (4 SWS)
ECTS-Credit Points
(CP) 6
Requirements
according to
examination
regulation
-none-
Learning objectives
Mechatronics and Control Techniques for Production Plants
Overall goal: Students get familiar with the structure, the design and the
engineering process of mechatronic systems.
After successfully completing this course, the students will have acquired
the following learning outcomes:
Knowledge / Understanding
Students
understand the characteristics of the behavior and control of feed axes in machine tools;
4
know different types of sensors and their application within machine tools.
Abilities / Skills
Students
apply this knowledge to create control programs in different programming tools;
get to know the essential features and applications of logical,
numerical and motion controls of machines.
Content
Mechatronics and Control Techniques for Production Plants
Introduction to Mechatronics and control for production
Overview of mechatronic systems
Construction of feed drives
Information processing in mechatronic systems
Theory and examples of embedded systems
Programmable logic circuits
Measurement systems and sensors
Position and angle measuring systems
Acceleration and vibration measurement
Mechanical control
Single and multi-spindle turning machines
Further developments
Gripping technology
Gripping principles
Sensor technology and applications
Position control of feed drives
Control concept of a machine axis
Accuracy and synchronous control of multi-axis
Numerical Control 1: structure, programming, CAM
Construction of NC controls
NC programming process
Numerical Control 2: Interpolation
Kinematic transformations and compensations
Interpolation
Industrial robots and handling systems, robot control
Structure and kinematic transformations
RC programming
Programmable Logic Control (PLC) and motion control (MC)
Basics of Information Processing
Programmable Controllers
5
Signal processing, process and condition monitoring
Tasks of process and condition monitoring
Use of sensors and signal processing
Mechatronic Engineering, Simulation environments for virtual
commissioning
Basics of modeling of mechatronic systems
Behavior modeling and data management
Introduction: complexity of software and systems
Media e-Learning L2P, Power Point
Literature Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Mechatronics and
Control Techniques for
Production Plants
6 0 0
120 (written)
or max. 60
(oral)
Lecture:
Mechatronics and
Control Techniques for
Production Plants
0 2 60 0
Exercise:
Mechatronics and
Control Techniques for
Production Plants
0 2 60 0
Teaching Unit / Examinations: Examination Mechatronics and Control Techniques for
Production Plants
Title Examination Mechatronics and Control Techniques for Production Plants
Sub-title Exa MCT
Semester allocation 1
Connection to the
curriculum Compulsory module
Teaching Unit / Examinations: Lecture Mechatronics and Control Techniques for Production
Plants
Title Lecture Mechatronics and Control Techniques for Production Plants
Sub-title L MCT
6
Semester allocation 1
Connection to the
curriculum Compulsory module
Teaching Unit / Examinations: Exercise Mechatronics and Control Techniques for Production
Plants
Title Exercise Mechatronics and Control Techniques for Production Plants
Sub-title E MCT
Semester allocation 1
Connection to the
curriculum Compulsory module
7
Module: Manufacturing Technology I
Module Manufacturing Technology I
Module level Master
Subtitle MT I
Lecture See list of lectures and examinations of the module
Semester allocation 1
Person in charge Univ.-Prof. Dr.-Ing. Thomas Bergs
Lecturer Univ.-Prof. Dr.-Ing. Thomas Bergs
Language English
Assignment to the
curriculum Compulsory module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 150h, Lecture hours 60h (4 SWS), Self-study 90h
Lecture hours 60h (4 SWS)
ECTS-Credit Points
(CP) 5
Requirements
according to
examination
regulation
-none-
Learning objectives
Manufacturing Technology I
After successfully completing this course, the students will have acquired
the following learning outcomes:
Knowledge / Understanding
Students
have an in-depth insight on manufacturing technologies. They know and understand the comply principles of cutting, forming, material removal and additive manufacturing;
know and understand process parameters, cutting and forming criteria, tool and work piece characteristics.
Abilities / Skills
Students
8
apply this knowledge and are able to choose the right manufacturing processes with regard to geometrical and functional work piece properties.
estimate the effects of process parameter variations on forces, tool life, wear mechanisms and rim zone characteristics.
Competencies
Students
critically analyze company decisions with technological background and communicate the assessments to non-specialist audiences;
optimize manufacturing processes and assess possible consequences on part functionality.
Content
Manufacturing Technology I
Introduction to manufacturing technology
Measuring and testing in manufacturing technology
Principles of machining with geometrically defined cutting
edges
Cutting criteria
Cutting materials, tools and lubricants
Applications of processes with defined cutting edge
Principles of cutting with undefined cutting edges
Grinding tools and grinding wheel preparation
Applications of processes with undefined cutting edge
Material removal manufacturing processes (EDM, ECM)
Laser and high pressure water jet machining
Additive manufacturing (RP, RT)
Media e-Learning L2P, Power Point
Literature Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Manufacturing
Technology I
5 0 0
90-120
(written),
max. 60
(oral)
9
Lecture:
Manufacturing
Technology I
0 2 45 0
Exercise:
Manufacturing
Technology I
0 2 45 0
Teaching Unit / Examinations: Examination Manufacturing Technology I
Title Examination Manufacturing Technology I
Sub-title Exa MT I
Semester allocation 1
Connection to the
curriculum Compulsory module
Teaching Unit / Examinations: Lecture Manufacturing Technology I
Title Lecture Manufacturing Technology I
Sub-title L MT I
Semester allocation 1
Connection to the
curriculum Compulsory module
Teaching Unit / Examinations: Exercise Manufacturing Technology I
Title Exercise Manufacturing Technology I
Sub-title E MT I
Semester allocation 1
Connection to the
curriculum Compulsory module
10
Compulsory Course – First Semester
Track specific
Module: Model based Systems Engineering
Module Model based Systems Engineering
Module level Master
Subtitle MBSysE
Lecture See list of lectures and examinations of the module
Semester 1
Person in charge Univ.-Prof. Dr. rer. nat. Bernhard Rumpe
Lecturer Univ.-Prof. Dr. rer. nat. Bernhard Rumpe
Language English
Assignment to the curriculum
Compulsory Module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 180h, Lecture hours 75h (5 SWS), Self-study 105h
Lecture hours 75
ECTS-Credit Points (CP)
6
Requirements according to examination regulation
-none-
Learning objectives
Model based Systems Engineering
Overall goal: Students gain the basic knowledge about modelling in a development project. They learn about SysML and UML and appropriate systems engineering processes. After successfully completing this course, the students will have acquired the following learning outcomes:
Knowledge / Understanding
Students:
understand the use of models;
11
understand the application of models in software engineering and in systems engineering;
have a profound knowledge of UML and of SysML models.
Abilities / Skills
Students:
read and write their own models in appropriate languages.
Competencies
Students:
design systems with a strong software impact by using model based development techniques.
Content
Model based Systems Engineering
After a thorough and detailed introduction of SysML and UML, the possibilities of using models in system development processes are discussed. These include simulation, code and test case generation, analysis, modeling and evolution of systems by refactoring of models.
SysML, UML
Architecture and behaviour models
Statecharts, finite automata
Object diagrams and class diagrams
Geometrical models and their connection to software controlling models
Use of models in the systems engineering process
Simulation, code and test generation
Analysis of models
Evolution of models and systems
Media e-Learning L2P, Power Point
Literature Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Title ECTS
Workload (SWS / h) Duration of Exam (min) Lecture h. (SWS) Self-Study (h)
Examination: Model based Systems Engineering
6 0 0 120 (written)
12
or max. 60 (oral)
Lecture: Model based Systems Engineering
0 2 50 0
Exercise: Model based Systems Engineering
0 3 55 0
Teaching Unit / Examinations: Examination Model based Systems Engineering
Title Examination Model based Systems Engineering
Sub-title Exa MBSysE
Semester 1
Connection to the curriculum
Compulsory Module
Teaching Unit / Examinations: Lecture Model based Systems Engineering
Title Lecture Model based Systems Engineering
Sub-title L MBSysE
Semester 1
Connection to the curriculum
Compulsory Module
Teaching Unit / Examinations: Exercise Model based Systems Engineering
Title Exercise Model based Systems Engineering
Sub-title E MBSysE
Semester 1
Connection to the curriculum
Compulsory Module
13
Elective Courses – First and Third Semester
Module: Advanced Software Engineering
Module Advanced Software Engineering
Module level Master
Subtitle ASE
Lecture See list of lectures and examinations of the module
Semester allocation 1 or 3
Person in charge Prof. Dr.-Ing. Dipl.-Inform. Tobias Meisen
Lecturer Prof. Dr.-Ing. Dipl.-Inform. Tobias Meisen
Language English
Assignment to the
curriculum Elective module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 150h, Lecture hours 60h (4 SWS), Self-study 90h
Lecture hours 60h (4 SWS)
ECTS-Credit Points
(CP) 5
Requirements
according to
examination
regulation
-none-
Learning objectives
Advanced Software Engineering
After successfully completing this course, the students will have acquired
the following learning outcomes:
Knowledge / Understanding
Students
comprehend for what purposes, under which conditions and with which consequences computer systems are used for the solution of problems related to Mechanical Engineering;
gain a solid knowledge in the Software Development Life Cycle and the main activities and core concepts under each software development phase.
14
Abilities / Skills
Students
transfer the acquired knowledge in object oriented design to different engineering problems and understand the general structure and the functionality of software.
Content
Advanced Software Engineering
The aim of the course is to explain students for what purposes, under which conditions and with which consequences computer systems are used for the solution of problems related to Mechanical Engineering.
Within the first part of the course the steps from problem description to the final software solution are illustrated. This covers the topics modelling, problem elicitation and analysis, program design and an introduction to UML (Unified Modelling Language). Then the course goes on with a closer examination of the various aspects which comprise software development, concerning with topics like design patterns, agile software processes and project management. Parallel to the lecture the students are given the chance to employ the theoretical input from the course in small software projects. After an introduction to the basics of Java and object-oriented programming, the students stepwise pass through the particular stages of a software development process. Moreover, a part of the exercise is implemented by using physical robots.
Media e-Learning L2P, Power Point
Literature Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Advanced Software
Engineering
5 0 0
90-120
(written) or
max. 60
(oral)
Lecture:
Advanced Software
Engineering
0 2 45 0
Exercise:
Advanced Software
Engineering
0 2 45 0
Teaching Unit / Examinations: Examination Advanced Software Engineering
Title Examination Advanced Software Engineering
Sub-title Exa ASE
15
Semester allocation 1 or 3
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Lecture Advanced Software Engineering
Title Lecture Advanced Software Engineering
Sub-title L ASE
Semester allocation 1 or 3
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Exercise Advanced Software Engineering
Title Exercise Advanced Software Engineering
Sub-title E ASE
Semester allocation 1 or 3
Connection to the
curriculum Elective module
16
Module: Modeling, Model Reduction and Simulation in Laser Processing - Applications
Module Modeling, Model Reduction and Simulation in Laser Processing - Applications
Module level Master
Subtitle MMRSLP-A
Lecture See list of lectures and examinations of the module
Semester 1 or 3
Person in charge Univ.-Prof. Dr. rer. nat. Wolfgang Schulz
Lecturer Univ.-Prof. Dr. rer. nat. Wolfgang Schulz
Language English
Assignment to the curriculum
Elective Module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 150h, Lecture hours 60h (4 SWS), Self-study 90h
Lecture hours 60h (4 SWS)
ECTS-Credit Points (CP)
5
Requirements according to examination regulation
-none-
Learning objectives
Modeling, Model Reduction and Simulation in Laser Processing – Applications After successfully completing this course, the students will have acquired the following learning outcomes:
Knowledge / Understanding
Free Boundary Problems and integral methods of solution,
non-linear stability analysis using spectral methods,
analysis of the structural stability of model equations and
5 parameter pairs of optical material equations, transmission, reflection, absorption, Fresnel Formulae, polarisation of matter and radiation
Learning target 2: optical parameters
Slow surfaces in dynamical Systems: applications
for separation of time scales
17
Learning target 6: Thermal effect of large and small Peclet-number,
know and understand the 5 different, dominant phenomena of drilling, welding and cutting with laser radiation
Learning target 5: quality features
know the physical meaning of the terms contained in the Navier-Stokes equations for mass, momentum, and energy balance
know the main properties of the solution in the asymptotic case of thin film flow (boundary layer) and can explain the relation between dynamical properties of the solution and quality features of the product as well as productivity of the process for drilling and cutting
know the effect of dissipation in distributed dynamical systems (inertial manifold) and know examples for the application of methods for the reduction of the dimension in dissipative systems, understand and perform the separation of length and time scales in simple systems
Learning target 7: heating and melting phase of ablation
understand the interactive cooperation of scientists from engineering, physics and mathematics for application of model based methods for diagnosis in laser processing Learning target 8: reduced modelling
Abilities / Skills
Application of model based methods for solving practical tasks from discussion of project examples
Content
Modeling, Model Reduction and Simulation in Laser Processing – Applications
Overview of contents, definition of the 10 learning targets
the contribution of the engineer to the interactive cooperation of
scientific disciplines
main features of the theory of cognition (Karl Popper)
recapitulation of the 10 learning targets from Module I: Laser
Learning target 1: at least 10 industrial applications of laser
radiation
Learning target 2: reduced model of the Fresnel Formulae for the
limiting case of small displacement current, optical parameters
technical task and examples:
cutting with laser radiation
Learning target 3: quality features of the high quality cut
physical task of cutting and identification of quality defined
processing domains
Learning target 4: relation of physical phenomena to the built up
of quality degradations
technical task and examples:
drilling with laser radiation
physical task formulation and 5 dominant phenomena
Learning target 5: quality features of the drilled hole
mathematical modelling Ia: length and time scales
18
degrees of freedom in phase space of dependent variables
separation of time scales in simple dynamical systems
Learning target 6a: separation of time scales
mathematical modelling Ib: singular perturbation and asymptotic
expansion
thermal boundary layer in heat conduction with moving
boundaries
Learning target 6b: separation of length scales
mathematical modelling II:
Free Boundary Problems (FBP) for the solid phase
reduced model for the FBP :
motion of the melting front, integral methods, variational
formulation
Learning target 7: heating and melting phase of ablation
mathematical modelling III: Meta-Modelling
Morse-Smale-Complex
Learning target 8: reduced model of drilling and cutting
mathematical model reduction: melt flow
reduced model for thin film flow
Learning target 9: ripple and dross formation in cutting
model reduction and solution with controlled error:
melt flow at low Reynolds-number
structural stability of the reduced model:
lubrication approximation, fingering and droplet formation
global properties of the solution of balance equations for mass,
momentum and thermal energy – example: cutting
Learning target 10: scales for parameter estimation in laser
processing
parameters in cutting and drilling
concluding discussion of the learning targets
actual research and development of laser processing
Media Presentations, Laboratory: Data acquisition and analysis software
Literature Lecture Notes, List of relevant literature
Lectures / Examinations
Title ECTS
Workload (SWS / h) Duration of Exam (min) Lecture h. (SWS) Self-Study (h)
Exam: Modeling, Model Reduction and Simulation in Laser Processing – Applications
5 0 0
Max. 60 (oral) or 120 (written)
Lecture: Modeling, Model Reduction and
0 2 45 0
19
Simulation in Laser Processing – Applications
Exercise: Modeling, Model Reduction and Simulation in Laser Processing – Applications
0 2 45 0
Teaching Unit / Examinations: Examination Modeling, Model Reduction and Simulation in Laser Processing – Applications
Title Examination Modeling, Model Reduction and Simulation in Laser Processing – Applications
Sub-title Exa MMRSLP-A
Semester 1 or 3
Connection to the curriculum
Elective Module
Teaching Unit / Examinations: Lecture Modeling, Model Reduction and Simulation in Laser Processing – Applications
Title Lecture Modeling, Model Reduction and Simulation in Laser Processing – Applications
Sub-title L MMRSLP-A
Semester 1 or 3
Connection to the curriculum
Elective Module
Teaching Unit / Examinations: Exercise Modeling, Model Reduction and Simulation in Laser Processing – Applications
Title Exercise Modeling, Model Reduction and Simulation in Laser Processing – Applications
Sub-title E MMRSLP-A
Semester 1 or 3
Connection to the curriculum
Elective Module
20
Module: Tribology
Module Tribology
Module level Master
Subtitle TB
Lecture See list of lectures and examinations of the module
Semester allocation 1 or 3
Person in charge Univ.-Prof. Dr.-Ing. Georg Jacobs
Lecturer Univ.-Prof. Dr.-Ing. Georg Jacobs
Language English
Assignment to the
curriculum Elective module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 150h, Lecture hours 60h (4 SWS), Self-study 90h
Lecture hours 60h (4 SWS)
ECTS-Credit Points
(CP) 5
Requirements
according to
examination
regulation
-none-
Learning objectives
Tribology
After successfully completing this course, the students will have acquired
the following learning outcomes:
Knowledge / Understanding
Students
know fundamental mechanisms in the contact zone of tribosystems:
hydrodynamics
material deformation
tribological stress
fluid / solid body friction
wear
Abilities / Skills
21
Students
employ the fundamental theories to design and analyze tribosystems;
design tribosystems in mechanical systems, like journal bearings, roller bearings, gear wheels and seals.
Competencies
Students
are capable of choosing and applying different suitable measuring- and test systems to investigate the tribosystems of journal bearings, roller bearings, gear wheels and seals;
are capable of choosing and applying different suitable calculation and simulation methods to investigate the tribosystems of journal bearings, roller bearings, gear wheels and seals;
are capable of estimating the quality of the tribosystem according to the test and simulation results and to optimize it with the background knowledge of a considerably large action catalogue;
design the tribosystems of the mechanical components of drive trains;
minimize friction and wear in mechanical drive trains. In that way, they can enhance the resource and energy efficiency of drive train systems.
Content
Tribology
Basics of tribology:
• Tribosystem in general and its analysis
• Wear and friction processes
• Test methods
Interactions between base and contact bodies:
• Contact processes and geometries, material strain, Hertzian theory,
contact mechanics
• Frictional processes and the results and influence on the tribosystem,
wear processes and methods to avoid wear and losses
Properties of base and contact bodies:
• Tribomaterials and the analysis of technical surfaces, roughness,
hardness definitions and test methods
• Coating types and methods and their technical application, systematical
methods and examples for the correct choice of material
Properties of intermediate medium:
• Basic properties, dependencies and test methods for the viscosity
• Classification, properties and application examples for different
lubricants (oils, greases and solid lubricants)
Basics of hydrodynamics and elastohydrodynamics:
• Fundamentals and principles of flow mechanisms, derivation of Navier-
Stokes and Reynolds equations and continuity equation
22
• Application of the hydrodynamic equations regarding the calculation of
bearings
• Basics of the elastohydrodynamics
Tribosystem journal bearings:
• Functionality and calculation of hydrodynamic axial and radial journal
bearings
• Damages and failures of hydrodynamic journal bearings
• Choice of suitable lubricants for hydrodynamic journal bearings
• Functionality and calculation of hydrostatic axial and radial journal
bearings
• Damages and failures of hydrostatic journal bearings
• Choice of suitable lubricants for hydrostatic journal bearings
Tribosystem gear wheels:
• Lubricants and materials for gears and their influence and application
• Application of the EHD-theory for gear stages
• Damages and failures of gear wheels and suitable test methods for the
analysis of gear stages
Tribosystem roller bearings:
• Design, materials and lubrication for roller bearings
• Friction, damages and failures for roller bearings
• Test methods for the analysis of roller bearings
Tribosystem seals:
• Different types and designs of seals
• Specialties and application of different seals
• Materials for seals
Media e-Learning Moodle, Power Point
Literature Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Tribology 5 0 0
120 (written)
or max. 60
(oral)
Lecture:
Tribology 0 2 45 0
Exercise:
Tribology 0 2 45 0
Teaching Unit / Examinations: Examination Tribology
23
Title Examination Tribology
Sub-title Exa TB
Semester allocation 1 or 3
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Lecture Tribology
Title Lecture Tribology
Sub-title L TB
Semester allocation 1 or 3
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Exercise Tribology
Title Exercise Tribology
Sub-title E TB
Semester allocation 1 or 3
Connection to the
curriculum Elective module
24
Module: Gear and Transmission Technology
Module Gear and Transmission Technology
Module level Master
Subtitle GTT
Lecture See list of lectures and examinations of the module
Semester allocation 1 or 3
Person in charge Univ.-Prof. Dr.-Ing. Christian Brecher
Univ.-Prof. Dr.-Ing. Thomas Bergs
Lecturer Univ.-Prof. Dr.-Ing. Christian Brecher
Univ.-Prof. Dr.-Ing. Thomas Bergs
Language English
Assignment to the
curriculum Elective module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 180h, Lecture hours 60h (4 SWS), Self-study 120h
Lecture hours 60h (4 SWS)
ECTS-Credit Points
(CP) 6
Requirements
according to
examination
regulation
-none-
Learning objectives
Gear and Transmission Technology
After successfully completing this course, the students will have acquired
the following learning outcomes:
Knowledge / Understanding
Students
learn about the requirements on modern gears;
know the basics of calculation and test methods that are used in the development process of gears;
understand how test rigs for fatigue and gear noise tests will be introduced;
get knowledge about the gear production and the machine tools for gear production.
25
Abilities / Skills
Students
gain experience in simulation techniques in gear design and corresponding manufacturing processes;
gain experience in the analysis of gear tests.
Content
Gear and Transmission Technology
Gear Geometry - Spur Gears
Damage of gears
Basics of the gear development process I
Basics of the gear development process II
Investigation of gears - Fatigue tests
Investigation of gears - Running behavior
Gear Production
Gear Production – Finishing
Machine Tools for Gear Production
Simulation
Gear Geometry - Bevel Gears
Special Gears, Beveloids
Media e-Learning L2P, Power Point
Literature Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Gear and Transmission
Technology
6 0 0
120 (written)
or max. 60
(oral)
Lecture:
Gear and Transmission
Technology
0 2 60 0
Exercise:
Gear and Transmission
Technology
0 2 60 0
Teaching Unit / Examinations: Examination Gear and Transmission Technology
Title Examination Gear and Transmission Technology
Sub-title Exa GTT
Semester allocation 1 or 3
26
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Lecture Gear and Transmission Technology
Title Lecture Gear and Transmission Technology
Sub-title L GTT
Semester allocation 1 or 3
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Exercise Gear and Transmission Technology
Title Exercise Gear and Transmission Technology
Sub-title E GTT
Semester allocation 1 or 3
Connection to the
curriculum Elective module
27
Module: Simulation Techniques in Manufacturing Technology
Module Simulation Techniques in Manufacturing Technology
Module level Master
Subtitle STMT
Lecture See list of lectures and examinations of the module
Semester 1 or 3
Person in charge Univ.-Prof. Dr.-Ing. Thomas Bergs
Lecturer Dr.-Ing. Mustapha Abouridouane
Language English
Assignment to the curriculum
Elective Module
Teaching form Written or oral examination, Lecture , Exercise
Workload Total 180h, Lecture hours 45h (3 SWS), Self-study 135h
Lecture hours 45h (3 SWS)
ECTS-Credit Points (CP)
6
Requirements according to examination regulation
Recommended requirements (e.g., other modules, foreign language skills):
Englisch in word and writing
Manufacturing Technology I
Learning objectives
Simulation Techniques in Manufacturing Technology Overall goal: Teaching theory and practise in modelling and simulation of manufacturing processes After successfully completing this course, the students will have acquired the following learning outcomes:
Knowledge / Understanding
Students:
Revision of the fundamentals of materials science and manufacturing technology
Introduction to the basic methods of modeling and simulation of manufacturing processes
Procedure and application of the finite element method for the simulation of manufacturing processes
Possibilities and limits of modeling and simulation
28
Application of the simulation software DEFORM and ABAQUS for the simulation of different manufacturing processes
Abilities / Skills
Students:
independently select appropriate simulation methods for manufacturing processes and prove their selection on a scientific basis;
set up and evaluate an FE simulation.
Competencies
Students:
develop their own modelling approaches for manufacturing processes and to formulate them in research questions as well as to incorporate them in development activities.
Content
Simulation Techniques in Manufacturing Technology
Lecture 1: In the first lecture an introduction to the topic "Simulation Techniques in Manufacturing Technology" will be given
Lecture 2: The contents of the second lecture are the basic aspects and processes of forming technology
Lecture 3: After the student has learned the basics of forming technology, this lecture will focus on current simulation techniques during forming
Lecture 4: The fourth lecture deals with fundamental aspects and the simulation of sheet metal forming
Lecture 5: The fifth lecture gives an introduction to the basics and simulation methods of punching and fine blanking processes
Lecture 6: Contents of the sixth lecture are the principles of cutting processes
Lecture 7: Lecture 7 gives a general overview of different cutting processes
Lecture 8: One possibility to model cutting processes is the finite element method (FEM). This lecture shows various current examples of the FE simulation of cutting processes
Lecture 9: The ninth lecture gives an introduction to cutting with an undefined cutting edge
Lecture 10: Lecture 10 introduces current modeling methods for grinding
29
Lecture 11: In lecture 11 special attention will be paid to the methods of validation and optimization techniques
Lecture 12: The content of the last lecture is to learn in small groups the preparation and evaluation of FE machining simulation with the FE code ABAQUS
Media Power-Point Presentation, Movies, FE Software
Literature
Script of Manufacturing Technology I (For sale at WZL)
Script of Manufacturing Technology II (For sale at WZL)
S. Kobayashi, T. Altan, S. Kobayashi: Metal Forming and the Finite-Element Method, Oxford Series on Advanced Manufacturing, Oxford University Press, 1989
T. Childs: Metal Machining (Theory and Applications), ISBN-13: 978-0340691595
K. Cheng: Machining Dynamics (Fundamentals, Applications and Practices), ISBN: 978-1-84628-367-3
Lectures / Examinations
Title ECTS
Workload (SWS / h)
Duration of Exam (min) Lecture h.
(SWS) Self-Study (h)
Examination:
Simulation Techniques in Manufacturing Technology
6 0 0 15 (oral) or 120 (written)
Lecture:
Simulation Techniques
in Manufacturing
Technology
0 2 70 0
Exercise: Simulation Techniques in Manufacturing Technology
0 1 65 0
Teaching Unit / Examinations: Examination Simulation Techniques in Manufacturing Technology
Title Examination Simulation Techniques in Manufacturing Technology
Sub-title Exa STMT
Semester 1 or 3
30
Connection to the curriculum
Elective Module
Teaching Unit / Examinations: Lecture Simulation Techniques in Manufacturing Technology
Title Lecture Simulation Techniques in Manufacturing Technology
Sub-title L STMT
Semester 1 or 3
Connection to the curriculum
Elective Module
Teaching Unit / Examinations: Exercise Simulation Techniques in Manufacturing Technology
Title Exercise Simulation Techniques in Manufacturing Technology
Sub-title E STMT
Semester 1 or 3
Connection to the curriculum
Elective Module
31
Module: High Precision Glass Optics Manufacturing
Module High Precision Glass Optics Manufacturing
Module level Master
Subtitle HPGOM
Lecture See list of lectures and examinations of the module
Semester 1 or 3
Person in charge Univ.-Prof. Dr.-Ing. Thomas Bergs
Lecturer Dr.-Ing. Olaf Dambon
Language English
Assignment to the curriculum
Elective Module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 180h, Lecture hours 60h (4 SWS), Self-study 120h
Lecture hours 4 SWS
ECTS-Credit Points (CP)
6
Requirements according to examination regulation
Recommended: Manufacturing Technology I
Learning objectives
High Precision Glass Optics Manufacturing Overall goal: Ability to layout and develop process chains for the production of highly precise glass optics under given industrially relevant aspects and technological constraints After successfully completing this course, the students will have acquired the following learning outcomes:
Knowledge / Understanding
Students:
know and understand the demands on precision components;
know and understand the specialities of glass in comparison to other materials;
know and understand direct machining and replication methods for complex optical lens production;
32
know and understand the characteristics of ultra-precision machine tools for machining optical components.
Abilities / Skills
Students:
Apply this knowledge and are able to assess manufacturing processes, machine tools and metrology methods with regard to the demands of optical components;
Are able to evaluate production strategies for higher quality, higher output, higher complexity and lower costs.
Competencies
Students:
critically analyze company decisions with a technological background and communicate the assessments to non-specialist audiences;
are familiar with the latest production trends in the seminal optics branch.
Content
High Precision Glass Optics Manufacturing
LE 1 (Introduction): Clear overview on the topic and the following courses, Application cases, Awareness for the need of high precision optics
LE 2 (Machine Aspects): Awareness of requirements on UP machines in comparison to non-UP machines, tribological aspects, error origins/impacts/compensation strategies
LE 3 (Grinding I): Awareness of the needs of grinding, machining, distinction between brittle and ductile machining, rendition of ELID sequences
LE 4 (Grinding II): Classification of different materials regarding their machinability by grinding, grinding wheel indications, assign wheel composition to the application
LE 5 (Polishing of glass optics I): Distinction between grinding, polishing, lapping and honing, working principle, influence on the removal rate
LE 6 (Polishing of glass optics II): Full-aperture, sub-aperture and corrective polishing, corrective polishing principles, mechanical and chemo-mechanical polishing
LE 7 (Diamond Turning): Distinction between grinding/polishing and diamond turning, achievable accuracy, impossibility of direct steel SPDT, wear mechanisms and prevention
33
LE 8 (Coatings): Coatings and their applications, optical and wear protective coatings, differences between coating technologies, AR-coatings, wear mechanisms and prevention
LE 9 (Modeling): Simulation assistance in molding processes, concepts/mathematics, chances and limits, critical interpretation of simulation results
LE 10 (Non-isothermal Glass Molding): Precision and efficiency, working principle, heat transfer mechanisms, knowledge of wear phenomena and influence sources
LE 11 (Precision Glass Molding): Classifying PGM regarding precision and efficiency, understanding of the working principle (temperatures, motions, etc.) esp. in comparison to NGM, Knowledge of wear phenomena and influence sources
LE 12 (Metrology): Measuring principles and application, complex shape measurements, tactile and non-tactile shape qualification, interferometry, validity of measuring results
LE 13 (Application Case): Recapitulation of the »big picture«, approaching manufacturing problems systematically, evaluation of direct or replicative manufacturing depending on applications and markets
Media -
Literature
Klocke, F.; König, W. Fertigungsverfahren 2 – Zerspanung mit geometrisch unbestimmter Schneide, Springer Vieweg, 5. Auflage, 2018;
Klocke, F.; König, W. Fertigungsverfahren 4 – Umformen, Springer Vieweg, 6. Auflage, 2018;
Bliedtner, J.; Gräfe, G. Optiktechnologie. Grundlagen – Verfahren – Anwendungen – Beispiele. München, Fachbuchverl. Leipzig (Carl-Hanser-Verl.), 2008;
Weck, M., Brecher, C. (Hrsg.) Werkzeugmaschinen. Vol. 1 – 4, Berlin Heidelberg, Springer Press, 2005;
Bach, H.; Neuroth, N. (Hrsg.) The Properties of Optical Glass. Berlin/Heidelberg, Springer-Verlag, 1995
Lectures / Examinations
Title ECTS
Workload (SWS / h) Duration of Exam (min) Lecture h. (SWS) Self-Study (h)
Examination: High Precision Glass Optics Manufacturing
6 0 0 15 (oral) or 120 (written)
34
Lecture: High Precision Glass Optics Manufacturing
0 2 60 0
Exercise: High Precision Glass Optics Manufacturing
0 2 60 0
Teaching Unit / Examinations: Examination High Precision Glass Optics Manufacturing
Title Examination High Precision Glass Optics Manufacturing
Sub-title Exa HPGOM
Semester 1 or 3
Connection to the curriculum
Elective Module
Teaching Unit / Examinations: Lecture High Precision Glass Optics Manufacturing
Title Lecture High Precision Glass Optics Manufacturing
Sub-title L HPGOM
Semester 1 or 3
Connection to the curriculum
Elective Module
Teaching Unit / Examinations: Exercise High Precision Glass Optics Manufacturing
Title Exercise High Precision Glass Optics Manufacturing
Sub-title E HPGOM
Semester 1 or 3
Connection to the curriculum
Elective Module
35
Module: Control Engineering
Module Control Engineering
Module level Master
Subtitle CE
Lecture See list of lectures and examinations of the module
Semester 1 or 3
Person in charge Univ.-Prof. Dr.-Ing. Dirk Abel
Lecturer Univ.-Prof. Dr.-Ing. Dirk Abel
Language English
Assignment to the curriculum
Elective Module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 90h, Lecture hours 30h (2 SWS), Self-study 60h
Lecture hours 30h (2 SWS)
ECTS-Credit Points (CP)
3
Requirements according to examination regulation
Basic knowledge in mathematics as defined in the examination regulations.
Learning objectives
Control Engineering After successfully completing this course, the students will have acquired the following learning outcomes:
Knowledge / Understanding
know, recognize and classify the most common linear control loop elements;
know the effects of feedback and apply different methods to set up feedback elements (controllers) such that predefined control goals are met.
Abilities / Skills
analyze dynamical, biological and biomedical systems and identify the relevant causalities;
employ different mathematical descriptions of dynamical systems;
solve differential equations by means of Laplace transform;
36
assess of the stability of dynamical systems using different methods;
obtain, interpret and employ the frequency response of dynamical systems.
Content
Control Engineering
Significance of control theory, examples of biological and biomedical
control loops, functional diagrams, linearization, set up and solving of
differential equations, stability, features in time domain of dynamical
systems, Laplace transform, transfer function, frequency response,
functional diagram algebra, features in frequency domain of dynamical
systems, bode diagram, Nyquist plot, Linear control loop elements,
principle and goals of controller design, algebraic stability criteria, steady
state analysis and transient performance of a control loop, controller
setting rules, Nyquist stability criterion, phase margin, gain margin,
controller design in bode diagram.
Media e-Learning L2P, Power Point
Literature Lecture Notes, List of relevant literature
Lectures / Examinations
Title ECTS
Workload (SWS / h) Duration of Exam (min) Lecture h. (SWS) Self-Study (h)
Exam: Control Engineering
3 0 0
Max. 60 (oral) or 120 (written)
Lecture: Control Engineering
0 1 30 0
Exercise: Control Engineering
0 1 30 0
Teaching Unit / Examinations: Examination Control Engineering
Title Examination Control Engineering
Sub-title Exa CE
Semester 1 or 3
Connection to the curriculum
Elective Module
Teaching Unit / Examinations: Lecture Control Engineering
Title Lecture Control Engineering
Sub-title L CE
37
Semester 1 or 3
Connection to the curriculum
Elective Module
Teaching Unit / Examinations: Exercise Control Engineering
Title Exercise Control Engineering
Sub-title E CE
Semester 1 or 3
Connection to the curriculum
Elective Module
38
Module: Robotic Systems
Module Robotic Systems
Module level Master
Subtitle RS
Lecture See list of lectures and examinations of the module
Semester 1 or 3
Person in charge apl. Prof. Dr.-Ing. Mathias Hüsing
Lecturer apl. Prof. Dr.-Ing. Mathias Hüsing
Language English
Assignment to the curriculum
Elective Module
Teaching form Examination , Lecture , Exercise
Workload Total 150hmin, Lecture hours 60h, Self-study 90h
Lecture hours 60h
ECTS-Credit Points (CP)
5
Requirements according to examination regulation
-none-
Learning objectives
Robotic Systems
Overall goal: The students have a profound comprehension of the fundamentals of robotic systems as well as the components used to build and run a robotic system. Thus, they are capable of comprehending, describing and analyzing robotic systems and components. After successfully completing this course, the students will have acquired the following learning outcomes:
Knowledge / Understanding
Students
have a profound comprehension of the fundamentals of robotic
systems as well as the components used to build and run a robotic
system. Thus, they are capable of comprehending, describing and
analyzing robotic systems and components.
39
Abilities / Skills / Competencies:
Students
got a brief overview about existing and future robotic systems. The
students are capable of running through the development and
implementation process of a mechatronic robotic gripper;
analyse the kinematic structure of robots as well as grippers.
Furthermore, they have the knowledge and the ability to launch and
use general robotic components (stepper motor, sensors) and control
(via microcontroller) the kinematic structures to complete it to a full
mechatronic system;
use general methods of structural synthesis and follow the
development guidance for mechatronic systems (VDI 2206).
Content
Robotic Systems
1st Lecture Introduction to Industrial Robots (History of Robotics, Definition of Robotics, World Robotic Market, Requirements and application scenario, Essential construction elements of an industry robot, Category of robotics, Robotic Companies and StartUps, Future smart and intelligent Robots)
2nd Lecture Introduction to Advanced Robots (Advanced, Space, Food, Medical, Home Cleaning Robots, Mobile Manipulators, Intelligent Vehicles, World Robotic market: Service Robotics)
3rd Lecture General Robot Structures (Joints and Motion, Degree of Freedom, Workspaces, Different Classifications)
4th Lecture Structural Synthesis (Selection of robotic structures / quantitative optimization)
5th Lecture Robot End-effector Technology (Types and function of different End-effector technologies)
6th Lecture Gripper Technology (Characteristics of Objects, The Grasp, Gripper Mechanisms, Merit Indices, Design)
7th Lecture Components of Robotic Systems (Gears)
8th Lecture Components of Robotic Systems (Actuators)
9th Lecture Components of Robotic Systems (Sensors and Vision Systems)
10th Lecture Components of Robotic Systems (Control and Safety Architecture)
11th Lecture Properties and Benchmarking (Performance evaluation)
12th Lecture Mobile Manipulators (Types of Wheels, Kinematic Constrains, Robot Configuration Variables, Characterization of robot mobility, Wheeled Robot Structures)
13th Lecture Control and Path Planning (Artificial Intelligence)
Media Lecture and Exercise slides
40
Literature
- Siciliano, B.: Robotics; Modelling, Planning and Control, Springer International Publishing, 2009, eBook ISBN 978-1-84628-642-1, DOI 10.1007/978-1-84628-642-1
- Siciliano, B. (Hrsg.): Springer Handbook of Robotics, Springer International Publishing, 2016, eBook ISBN 978-3-319-32552-1, DOI 10.1007/978-3-319-32552-1
Lectures / Examinations
Title Code ECTS
Workload (SWS / h) Duration of Exam (min)
Lecture h. (SWS)
Self-Study (h)
Examination: Robotic Systems 5 0 0
See examination options
Lecture: Robotic Systems
0 2 45 0
Exercise: Robotic Systems
0 2 45 0
Teaching Unit / Examinations: Examination Robotic Systems
Title Examination Robotic Systems
Sub-title Exa RS
Semester 1 or 3
Connection to the curriculum
Elective Module
Teaching Unit / Examinations: Lecture Robotic Systems
Title Lecture Robotic Systems
Sub-title L RS
Semester 1 or 3
Connection to the curriculum
Elective Module
Teaching Unit / Examinations: Exercise Robotic Systems
Title Exercise Robotic Systems
Sub-title E RS
41
Semester 1 or 3
Connection to the curriculum
Elective Module
42
Compulsory Course – First Semester
Language Course
Module: Language Course (1)
Module Language Course (1)
Module level Master
Subtitle LC 1
Lecture See list of lectures and examinations of the module
Semester allocation 1
Person in charge RWTH Aachen University Language Center
Lecturer -
Language German (if not proficient/native speaker)
Assignment to the
curriculum Compulsory module
Teaching form Written examination, Lecture, Exercise
Workload Total 60h, Lecture hours 30h (2 SWS), Self-study 30h
Lecture hours 30h (2 SWS)
ECTS-Credit Points
(CP) 2
Requirements
according to
examination
regulation
-none-
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Language Course (1) 2 0 0
60-90 min.
written
Lecture:
Language Course (1) 0 1 15 0
Exercise:
Language Course (1) 0 1 15 0
Teaching Unit / Examinations: Language Course (1)
43
Title Examination Language Course (1)
Sub-title Exa LC (1)
Semester allocation 1
Connection to the
curriculum Compulsory module
Teaching Unit / Examinations: Language Course (1)
Title Lecture Language Course (1)
Sub-title L LC (1)
Semester allocation 1
Connection to the
curriculum Compulsory module
Teaching Unit / Examinations: Exercise Language Course (1)
Title Exercise Language Course (1)
Sub-title E LC (1)
Semester allocation 1
Connection to the
curriculum Compulsory module
44
Compulsory Courses – Second Semester
Program specific
Module: Manufacturing Technology II
Module Manufacturing Technology II
Module level Master
Subtitle MT II
Lecture See list of lectures and examinations of the module
Semester allocation 2
Person in charge Univ.-Prof. Dr.-Ing. Thomas Bergs
Lecturer Univ.-Prof. Dr.-Ing. Thomas Bergs
Language English
Assignment to the
curriculum Compulsory module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 180h, Lecture hours 60h (4 SWS), Self-study 120h
Lecture hours 60h (4 SWS)
ECTS-Credit Points
(CP) 6
Requirements
according to
examination
regulation
-none-
Learning objectives
Manufacturing Technology II
After successfully completing this course, the students will have acquired
the following learning outcomes:
Knowledge / Understanding
Students
have an extended understanding in technologically comprehensive topics like material science and tribology;
know and understand the mechanisms to improve the performance of powder metallurgical, cutting, forming and hybrid processes.
45
Abilities / Skills
Students
apply this knowledge properly and are able to assess manufacturing processes with regard to near surface damages and functional surfaces;
evaluate processes by calculation of key figures for productivity, profitability and reliability und thus are able to propose solutions.
Content
Manufacturing Technology II
Metal-based Materials
Tool Materials
Powder Metallurgy
Tribology
Near Surface Damages and Functional Surfaces
High-Speed Machining
Bulk and Sheet Metal Forming
Computer-aided Technology Planning
Hybrid Manufacturing Methods
Productivity and Profitability
Manufacturing of Optical Components
Manufacturing of Components for Mobility
Manufacturing Methods for Toolmaking
Media e-Learning L2P, Power Point
Literature Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Manufacturing
Technology II
6 0 0
120 (written)
or max. 60
(oral)
Lecture:
Manufacturing
Technology II
0 2 60 0
Exercise:
Manufacturing
Technology II
0 2 60 0
Teaching Unit / Examinations: Examination Manufacturing Technology II
46
Title Examination Manufacturing Technology II
Sub-title Exa MT II
Semester allocation 2
Connection to the
curriculum Compulsory module
Teaching Unit / Examinations: Lecture Manufacturing Technology II
Title Lecture Manufacturing Technology II
Sub-title L MT II
Semester allocation 2
Connection to the
curriculum Compulsory module
Teaching Unit / Examinations: Exercise Manufacturing Technology II
Title Exercise Manufacturing Technology II
Sub-title E MT II
Semester allocation 2
Connection to the
curriculum Compulsory module
47
Module: Production Management B
Module Production Management B
Module level Master
Subtitle PM B
Lecture See list of lectures and examinations of the module
Semester allocation 2
Person in charge Univ.-Prof. Dr.-Ing. Dipl.-Wirt. Ing. Günther Schuh
Lecturer Univ.-Prof. Dr.-Ing. Dipl.-Wirt. Ing. Günther Schuh
Language English
Assignment to the
curriculum Compulsory module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 150h, Lecture hours 60h (4 SWS), Self-study 90h
Lecture hours 60h (4 SWS)
ECTS-Credit Points
(CP) 5
Requirements
according to
examination
regulation
-none-
Learning objectives
Production Management B
After successfully completing this course, the students will have acquired
the following learning outcomes:
Knowledge / Understanding
Students
know and understand particular aspects of the domains design, process planning, production as well as program planning and investment planning;
understand the usefulness of modern planning methods, with emphasis on the application of computers (CAD, CAP, CAM etc.;
understand the boundary conditions in daily business and give the students an advanced and comprehensive basis to reflect advantages and disadvantages of the discussed systems.
Abilities / Skills
48
Students
analyse the structure of enterprise resources, make comparisons and give recommendations according to the results of the analysis.
Content
Production Management B
• IT in Production Management
• Customer Relations Management
• Enterprise Resource Planning I
• Enterprise Resource Planning II
• Enterprise Resource Planning III
• Supply Chain Management I
• Supply Chain Management II
• Product Lifecycle Management I
• Product Lifecycle Management II
• Product Lifecycle Management III
• Digital Plant Planning and Simulation
• Business Engineering - Method of selecting IT-Systems
Media e-Learning L2P, Power Point
Literature Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Production
Management B
5 0 0
90-120
(written) or
max. 60
(oral)
Lecture:
Production
Management B
0 2 45 0
Exercise:
Production
Management B
0 2 45 0
Teaching Unit / Examinations: Examination Production Management B
Title Examination Production Management B
Sub-title Exa PM B
Semester allocation 2
49
Connection to the
curriculum Compulsory module
Teaching Unit / Examinations: Lecture Production Management B
Title Lecture Production Management B
Sub-title L PM B
Semester allocation 2
Connection to the
curriculum Compulsory module
Teaching Unit / Examinations: Exercise Production Management B
Title Exercise Production Management B
Sub-title E PM B
Semester allocation 2
Connection to the
curriculum Compulsory module
50
Compulsory Courses – Second Semester
Track specific
Module: Embedded Systems
Module Embedded Systems
Module level Master
Subtitle ES
Lecture See list of lectures and examinations of the module
Semester allocation 2
Person in charge Univ.-Prof. Dr.-Ing. Stefan Kowalewski
Lecturer Univ.-Prof. Dr.-Ing. Stefan Kowalewski
Language English
Assignment to the
curriculum Compulsory module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 180h, Lecture hours 60h (4 SWS), Self-study 120h
Lecture hours 60h (4 SWS)
ECTS-Credit Points
(CP) 6
Requirements
according to
examination
regulation
-none-
Learning objectives
Embedded Systems
Overall goal: Students gain basic understanding of relevant challenges
and technologies for the design and analysis of embedded systems
After successfully completing this course, the students will have acquired
the following learning outcomes:
Knowledge / Understanding
Students
understand why embedded systems design pose different challenges than “ordinary” software systems, and what these challenges are;
51
know about the different fields of embedded systems design and the relevant technologies.
Abilities / Skills
Students
develop simple programs for microcontrollers and programmable logic controllers;
solve basic scheduling problems and apply protocols for real-time scheduling;
structure the development process for embedded systems and apply elementary design methods.
Competencies
Students
are prepared for advanced courses in the area of automation and control engineering, real-time systems, functional safety and reliability;
competently discuss embedded system design issues with engineers.
Content
Embedded Systems
• General introduction, definition “embedded System”
• Typical requirements and application areas of embedded systems
• Microcontrollers as a typical implementation platform for embedded
systems: Architecture, programming, real-time properties
• Programmable Logic Controllers as a typical implementation platform for
embedded systems: Architecture, real-time properties, programming
languages
• Data busses for embedded systems: ISO/OSI model, typical challenges,
most relevant bus technologies (I2C, CAN, Flexray)
• Real-time systems: requirements, real-time operating systems,
scheduling, dead-locks, priority inversion
• Software Engineering for embedded systems: V model, functional und
non-functional requirements, architecture design, validation
Media Power Point, videos of lectures and exercises, e-Learning L2P,
Literature Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
52
Examination:
Embedded Systems 6 0 0
90 (written)
or max. 60
(oral)
Lecture:
Embedded Systems 0 3 90 0
Exercise:
Embedded Systems 0 1 30 0
Teaching Unit / Examinations: Examination Embedded Systems
Title Examination Embedded Systems
Sub-title Exa ES
Semester allocation 2
Connection to the
curriculum Compulsory module
Teaching Unit / Examinations: Lecture Embedded Systems
Title Lecture Embedded Systems
Sub-title L ES
Semester allocation 2
Connection to the
curriculum Compulsory module
Teaching Unit / Examinations: Exercise Embedded Systems
Title Exercise Embedded Systems
Sub-title E ES
Semester allocation 2
Connection to the
curriculum Compulsory module
53
Module: International Factory Planning
Module International Factory Planning
Module level Master
Subtitle IFaPl
Lecture See list of lectures and examinations of the module
Semester 2
Person in charge Universitätsprofessor Dr.-Ing. Dipl.-Wirt. Ing. Günther Schuh
Lecturer Dr.-Ing. Dipl.-Wirt.Ing. Matthias Dannapfel
Language English
Assignment to the curriculum
Compulsory Module
Teaching form
Examination, Lecture, Exercise
In addition to the written exam at the end of the semester, students must complete a seminar paper in group work during the semester. The seminar papers will cover structured literature research on various topics. Passing the seminar paper as well as the written exam at the end of the semester are both necessary requirements for passing the module. The overall grade is made up of 30% seminar paper grade and 70% exam grade. Students must submit their preferences regarding the presented topics of the seminar paper at the start of the semester. The processing time of the seminar paper is five to six weeks.
Workload Total 180h, Lecture hours 60h, Self-study 120h
Lecture hours 4
ECTS-Credit Points (CP)
6
Requirements according to examination regulation
-none-
Learning objectives
International Factory Planning
Dear factory planer, design a factory which can produce watches today and cars tomorrow, that can produce different volumes each day, which is inflatable and transportable (Helmut Schulte).
The global competition, wide production programmes und frequent discontinuities lead to so far unknown challenges for the planning process of factories. Besides the classical resource, layout and logistic planning, also the definition of the own value adding scope, the choice and
54
allocation of suitable production locations, the conception of production systems and the usage of suitable planning tools, are part of the process.
The lecture factory planning shows the state of the art of the particular topics, best-practice methods and approaches are explained and reference solutions presented. The theoretical content is deepened by an accompanying case-study and the presentation of actual industrial factory planning projects.
After successfully completing this course, the students will have acquired the following learning outcomes:
Knowledge / Understanding
Students
have an extended understanding of state of the art planning process
of factories;
know and understand the definition of the own value adding scope,
the choice and allocation of suitable production locations, the
conception of production systems and the usage of suitable planning
tools.
Abilities / Skills
Students
apply this knowledge to analyse organizational structures and forms
of production.
Competencies
Students
define and develop single production plants as well as production
networks of globalized companies and explain them to different
target groups
Content
International Factory Planning
L1/L2 - Introduction
Comprehending the basic glossary, getting to know the content and understanding the challenges and requirements of modern factory planning.
L3/L4 - Dimensions of added value in Production / Evaluation methods for the planning process of value added
Getting to know different categories of value added in factory planning as well as strategic and economic methods for their evaluation
L5/L6 - Production site planning
This lecture focusses on current trends within the field of production site planning and presents methods for the assessment of production site alternatives and decision-making
L7/8 – Production Systems I: Process Planning and Resource Planning
55
Learning about challenges and approaches within the production process planning, understanding the problem of capacity planning in manufacturing and human resources
L9/10 - Production Systems II: Organization and Lean Production
Introduction to different organizational structures and forms of production, comprehending lean production with its basic elements and understanding the implementation of lean principles into production systems
L11/12 - Logistics planning
Comprehend the basics of logistics planning, getting to know the development of logistic strategies and principles from sourcing to recycling processes
L13/L14 - Layout and factory structure planning
Introduction to challenges and targets of layout and factory structure planning. Acquiring knowledge of design and assessment of factory layouts
Within the framework of the lecture " International Factory Planning", the state-of-the-art of the respective subject areas will be introduced, relevant methods and procedures will be explained and reference solutions will be presented. The contents will be deepened in the exercises and in the seminar papers. In this way, future production managers will be able to comprehensively plan and develop individual production sites as well as entire production networks of internationally active companies. In addition to the lectures, seminar papers are written in group work, which are part of the final examination and constitute a prerequisite for the final examination. This means that in order to be able to register for the final exam, the seminar paper has to be handed in and graded with 4.0 or better. A successful registration for the module International Factory Planning already at the very beginning of each semester is therefore vital in order to be integrated within the allocation to groups. Each group then writes one seminar paper each. The lectures and exercises are only held in Summer Semesters. However, the exam can be written each semester which means that the requirement of a seminar paper does also apply to each semester. lf an exam is failed but a seminar paper has already been written, the grade of the seminar paper can be credited in the following semester.
The aim of these seminar papers is to deepen the contents conveyed in the lecture. The students should investigate and analyze the state of research on specific current research topics from the field of factory planning which are specified by the chair. Moreover, an outlook for future research should be given. The creation of the seminar paper will be supervised by an assistant of the chair and is expected to run from May to June in Summer Semester and from October to November in Winter Semester and must therefore be submitted before the written exam phase.
The students will be able to describe the characteristics and challenges of factory planning and with regard to the global environment. They can formulate the object precisely and in a detailed way. Moreover, the procedures and methods in factory planning will be understood. Based on this comprehension, the students will have the competence to analyze the initial situation of a factory planning project and to draft and classify possible solutions. Thus, the students will be able to apply the acquired methods to design a factory.
56
Against the background of the seminar paper, the chair also provides guidelines for scientific literature research and explains how the tools available to students (e.g. access to databases via the university library) can be used.
Consequently, this results in criteria which are communicated to the students before the seminar paper is written and which are later used transparently for the evaluation of the seminar paper prepared by the respective group. These evaluation criteria are divided into the following categories:
- Content aspects
- Use of literature
- Structure and layout
- Language and style
- Formal design
Media e-Learning L2P, Power Point, group work
Literature Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Title Code ECTS
Workload (SWS / h) Duration of Exam (min)
Lecture h. (SWS)
Self-Study (h)
Examination: International Factory Planning
6 0 0 120
Lecture: International Factory Planning
0 2 60 0
Exercise: International Factory Planning
0 2 60 0
Teaching Unit / Examinations: Examination International Factory Planning
Title Examination International Factory Planning
Sub-title Exam IFaPl
Semester 2
Connection to the curriculum
Compulsory Module
Teaching Unit / Examinations: Lecture International Factory Planning
57
Title Lecture International Factory Planning
Sub-title L IFaPl
Semester 2
Connection to the curriculum
Compulsory Module
Teaching Unit / Examinations: Exercise International Factory Planning
Title Exercise International Factory Planning
Sub-title E IFaPl
Semester 2
Connection to the curriculum
Compulsory Module
58
Elective Courses – Second or Fourth Semester
Module: Industrial Logistics
Module Industrial Logistics
Module level Master
Subtitle IL
Lecture See list of lectures and examinations of the module
Semester allocation 2 or 4
Person in charge Univ.-Prof. Dr.-Ing. Dipl.-Wirt. Ing. Günther Schuh
apl. Prof. Dr.-Ing. Volker Stich
Lecturer Univ.-Prof. Dr.-Ing. Dipl.-Wirt. Ing. Günther Schuh
apl. Prof. Dr.-Ing. Volker Stich
Language English
Assignment to the
curriculum Elective module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 150h, Lecture hours 45h (3 SWS), Self-study 105h
Lecture hours 45h (3 SWS)
ECTS-Credit Points
(CP) 5
Requirements
according to
examination
regulation
-none-
Learning objectives
Industrial Logistics
After successfully completing this course, the students will have acquired
the following learning outcomes:
Knowledge / Understanding
Students
know objectives and tasks of industrial logistics as well as main aspects of industrial logistics from organisational involvement to logistics controlling.
59
Abilities / Skills
Students
understand the meaning and the effects of individual aspects of industrial logistics and can place them in the overall context.
Competencies
Students
apply the acquired knowledge in Industrial Logistics to practical problems.
Content
Industrial Logistics
• Introduction - Objectives and Tasks of Logistics
• Procurement
• Distribution
• Inventory Management
• Process- and Information Management
• Material Flow Planning
• Smart Objects
• Supply Chain Management
Media e-Learning L2P, Power Point
Literature Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Industrial Logistics 5 0 0
90-120
(written) or
max. 60
(oral)
Lecture:
Industrial Logistics 0 2 60 0
Exercise:
Industrial Logistics 0 1 45 0
Teaching Unit / Examinations: Examination Industrial Logistics
Title Examination Industrial Logistics
Sub-title Exa IL
Semester allocation 2 or 4
60
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Lecture Industrial Logistics
Title Lecture Industrial Logistics
Sub-title L IL
Semester allocation 2 or 4
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Exercise Industrial Logistics
Title Exercise Industrial Logistics
Sub-title E IL
Semester allocation 2 or 4
Connection to the
curriculum Elective module
61
Module: Production Metrology
Module Production Metrology
Module level Master
Subtitle PM
Lecture See list of lectures and examinations of the module
Semester allocation 2 or 4
Person in charge Univ.-Prof. Dr.-Ing. Robert Schmitt
Lecturer Univ.-Prof. Dr.-Ing. Robert Schmitt
Language English
Assignment to the
curriculum Elective module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 150h, Lecture hours 60h (4 SWS), Self-study 90h
Lecture hours 60h (4 SWS)
ECTS-Credit Points
(CP) 5
Requirements
according to
examination
regulation
-none-
Learning objectives
Production Metrology
The aim of this module is to create the awareness, that “measuring”
comprehends a lot more than plain data acquisition and metrology is a
vital part of modern production processes.
After successfully completing this course, the students will have acquired
the following learning outcomes:
Knowledge / Understanding
Students
know the function and the responsibility of metrology for production;
know the theoretical fundamentals which have to be taken into consideration while the measuring process is planned, controlled, analysed, are discussed;
62
know current measuring principles and devices in the field of industrial production;
know statistical fundamentals being necessary for analysis of the measured values.
Abilities / Skills
Students
define measuring task on the basis of given features;
select adequate measuring devices for measuring tasks;
interpret measuring results.
Competencies
Students
make their decision (having arguments) for using metrology within production;
have learned to make decisions concerning measurement on the base of different parameters.
Content
Production Metrology
Introduction Relevance of metrology for quality assurance and its integration in
production processes.
Metrological Basics Metrological concepts and definitions (Calibration, Uncertainty
etc.)
Tolerancing Form and positional tolerances, tolerancing principles and basics
Inspection Planning Tasks and workflow of inspection planning, Procedure for creation
of inspection plans
Shop floor measuring devices/ Measuring sensors Commonly used manual inspection devices for the shop floor,
Function and application of inductive, capacitive and pneumatical sensors
Optoelectronic inspection devices Optical inspection systems for geometry testing and applications
Form and surface inspection devices Tactile and optical system for the characterisation of forms and
surfaces, surfaces parameters
63
Coordinate measurement technology Principles, types and applications of coordinate measuring
machines
Gauging inspection Form and positional gauging, Gauging Procedures
Statistical basics Statistical parameters for the description of production and measuring processes, tests on normal distribution
SPC, Process Capability Statistical analysis and control of processes, Process capability
indices
Inspection device management Tasks and procedures of inspection device management,
Calculation of measuring device capability, Calibration chain
Media e-Learning L2P, Power Point
Literature Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Production Metrology 5 0 0
90-120
(written) or
max. 60
(oral)
Lecture:
Production Metrology 0 2 45 0
Exercise:
Production Metrology 0 2 45 0
Teaching Unit / Examinations: Examination Production Metrology
Title Examination Production Metrology
Sub-title Exa PM
Semester allocation 2 or 4
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Lecture Production Metrology
64
Title Lecture Production Metrology
Sub-title L PM
Semester allocation 2 or 4
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Exercise Production Metrology
Title Exercise Production Metrology
Sub-title E PM
Semester allocation 2 or 4
Connection to the
curriculum Elective module
65
Module: Modeling, Model Reduction and Simulation in Laser Processing - Laser
Module Modeling, Model Reduction and Simulation in Laser Processing - Laser
Module level Master
Subtitle MMRSLP-L
Lecture See list of lectures and examinations of the module
Semester allocation 2 or 4
Person in charge Univ.-Prof. Dr. rer. nat. Wolfgang Schulz
Lecturer Univ.-Prof. Dr. rer. nat. Wolfgang Schulz
Language English
Assignment to the
curriculum Elective module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 150h, Lecture hours 60h (4 SWS), Self-study 90h
Lecture hours 60h (4 SWS)
ECTS-Credit Points
(CP) 5
Requirements
according to
examination
regulation
-none-
Learning objectives
Modeling, Model Reduction and Simulation in Laser Processing -
Laser
After successfully completing this course, the students will have acquired
the following learning outcomes:
Knowledge / Understanding
Students
experimental evidence of Maxwell equations
refraction, diffraction and scattering, Fresnel- number Nf, and applications
can perform the derivation of SVE-approximation
Laser light, can perform the calculation imaging and focussing
know at least 3 types of laser systems, temporal and spatial distribution of laser radiation, Fresnel-number, invariant quantity of light propagation
66
understand the structure of solution for the Helmholtz-equation, diffraction, 5 parameter pairs of optical material equations, transmission, reflection, absorption, Fresnel Formulae, polarisation of matter and radiation
know the main properties of the solution in the asymptotic case of paraxial light propagation and can explain the relation between optical and material parameters
know the effect of coupling between atoms and can explain the relation between band structure and optical properties
understand the interactive cooperation of scientists from engineering, physics and mathematics for application of model based methods for diagnosis in laser processing
Abilities / Skills
Students
Application of model based methods for solving practical tasks of laser design from discussion of project examples
Content
Modeling, Model Reduction and Simulation in Laser Processing -
Laser
Overview of contents, definition of the 10 learning targets
• the contribution of the engineer to the interactive cooperation of scientific
disciplines
• main features of the theory of cognition (Karl Popper)
• Light:
amplitude and phase, Fermat’s principle, laser radiation, Helmholtz
equation, diffraction, Fresnel- number Nf,, reduced model: SVE-
approximation
• Learning target 1: experimental origin of Maxwell equations, Rayleigh
scattering, Laser Principle
• Learning target 2: ABCD-matrix, ABCD-law
• Learning target 3:
beam parameter product, optical invariant
• Matter:
emission spectra, band structure, reflection, transmission and absorption
of light,
• Learning target 4: isolator, semiconductor, metal, gas
• Learning target 5: Rydberg constant, Planck’s law
• Learning target 6: reduced model of the Fresnel Formulae for the limiting
case of small displacement current, optical parameters
• Gaussian Beam:
beam quality, beam guiding and forming
• Learning target 7: quality features of light, Plane-, spherical- and Gouy-
phase
67
Quality number K and focussing F-number
• Resonator:
frequency filter, axial mode structure
• Learning target 8: feedback-axial mode structure, g-parameter, aperture-
lateral mode, Fresnel number Nf, rod and tube design
• Active Medium:
entropy, phase transition of 2. Kind, Einstein rate equations
• Learning target 9: Gas and Solid-state and Diode Laser
• Learning target 10: laser threshold, cooling, pumping
• Modulation:
Gain switch µs, Q-Switch ns, Mode locking fs
• Learning target 11: phase coupling
• concluding discussion of the learning targets
• actual research and development of laser processing
Media e-Learning L2P, Power Point
Literature Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Modeling, Model
Reduction and
Simulation in Laser
Processing - Laser
5 0 0
90-120
(written) or
max. 60
(oral)
Lecture:
Modeling, Model
Reduction and
Simulation in Laser
Processing - Laser
0 2 45 0
Exercise:
Modeling, Model
Reduction and
Simulation in Laser
Processing - Laser
0 2 45 0
Teaching Unit / Examinations: Examination Modeling, Model Reduction and Simulation in
Laser Processing - Laser
Title Examination Modeling, Model Reduction and Simulation in Laser
Processing - Laser
68
Sub-title Exa MMRSLP-L
Semester allocation 2 or 4
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Lecture Modeling, Model Reduction and Simulation in Laser
Processing - Laser
Title Lecture Modeling, Model Reduction and Simulation in Laser Processing -
Laser
Sub-title L MMRSLP-L
Semester allocation 2 or 4
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Exercise Modeling, Model Reduction and Simulation in Laser
Processing - Laser
Title Exercise Modeling, Model Reduction and Simulation in Laser Processing -
Laser
Sub-title E MMRSLP-L
Semester allocation 2 or 4
Connection to the
curriculum Elective module
69
Module: Modeling, Model Reduction and Simulation in Laser Processing - Design
Module Modeling, Model Reduction and Simulation in Laser Processing - Design
Module level Master
Subtitle MMRSLP-D
Lecture See list of lectures and examinations of the module
Semester allocation 2 or 4
Person in charge Univ.-Prof. Dr. rer. nat. Wolfgang Schulz
Lecturer Univ.-Prof. Dr. rer. nat. Wolfgang Schulz
Language English
Assignment to the
curriculum Elective module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 150h, Lecture hours 60h (4 SWS), Self-study 90h
Lecture hours 60h (4 SWS)
ECTS-Credit Points
(CP) 5
Requirements
according to
examination
regulation
-none-
Learning objectives
Modeling, Model Reduction and Simulation in Laser Processing -
Design
Overall goal: Students gain theoretical and practical knowledge to design
laser processes by understanding laser induced phenomena and the
needs of use to meet the performance suited to current and future
markets demand.
After successfully completing this course, the students will have acquired
the following learning outcomes:
Knowledge / Understanding
Students
Design of Research is based on formulation of a research question followed by research hypothesis, state of the art, contributions of theory and experiment;
70
Design Thinking for laser specification and laser processes by formulating specific research hypothesis leading to Reduced Models using the methods: 1. Dimensional Analysis, 2. Dimensionless groups, 3. Inertial Manifolds and Central Manifolds, 4. Length scale analysis and time scale separation;
know how to adapt laser properties to high performance processing;
understand the interactive cooperation of scientists from engineering, physics and mathematics for application of model based methods for diagnosis in laser processing.
Abilities / Skills
Students
apply model based methods for solving practical tasks of laser design.
Content
Modeling, Model Reduction and Simulation in Laser Processing –
Design
Overview of contents, definition of the 4 methodological (M1-M4) and 5
laser specific (L1-L5) learning targets:
Learning target M1 - Cooperation Engineering: the contribution of the
engineer to the
interactive cooperation of scientific disciplines (“Flowchart” approach)
Learning target M2 - Meta-Modelling: main features of the theories for
“design thinking” by
“meta-modelling” are
model reduction methods MRM:
mathematical, empirical and numerical approaches
global approximation and optimization methods
sensitivity analysis and hierarchical models
Learning target M3 - model reduction methods MRM:
Buckingham’s Pi-Theorem(mathematical MRM)
Model hierarchy threshold (empirical MRM))
Kriging global approximation versus response surface
(numerical MRM)
Proper orthogonal decomposition POD(numerical MRM)
Learning target M4 - mathematical MRM:
Analysis of dissipative distributed systems
applied to standard examples
Time scale separation (Inertial manifolds)
Singular perturbation
Learning target L1 – heating and melting phenomena
Laser Polishing (Marangoni effect, evaporation)
Learning target L2 - evaporation phenomena
Laser induced thermal stress analysis
Laser driven EUV-Sources (Extreme Ultra-Violet EUV)
71
Laser Propulsion - Light Engine
Learning target L3 - linear excitation phenomena
Laser Induced Fluorescence (LIF): biological carrier for TNT
detection
Learning target L4 - nonlinear Multi-Photon phenomena
Laser Fila mentation – Kerr effect, Multi-photon absorption
Multi-Photon Lithography
Learning target L5 - Coherence phenomena
Optical Coherence Tomography (OCT)
Particle detection (PIV, LDV, DGV, FRS)
Laser Interferometer Space Antenna (LISA)
Laser Time Measurement - Frequency Comb
Physical Limits related to energy manipulation (Laser Fusion, Laser
Cooling)
Concluding discussion of the learning targets and
Actual research and development of laser processing
Media e-Learning L2P, Power Point
Literature Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Modeling, Model
Reduction and
Simulation in Laser
Processing - Design
5 0 0
90-120
(written) or
max. 60
(oral)
Lecture:
Modeling, Model
Reduction and
Simulation in Laser
Processing - Design
0 2 45 0
Exercise:
Modeling, Model
Reduction and
Simulation in Laser
Processing - Design
0 2 45 0
Teaching Unit / Examinations: Examination Modeling, Model Reduction and Simulation in
Laser Processing - Design
Title Examination Modeling, Model Reduction and Simulation in Laser
Processing - Design
72
Sub-title Exa MMRSLP-D
Semester allocation 2 or 4
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Lecture Modeling, Model Reduction and Simulation in Laser
Processing - Design
Title Lecture Modeling, Model Reduction and Simulation in Laser Processing -
Design
Sub-title L MMRSLP-D
Semester allocation 2 or 4
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Exercise Modeling, Model Reduction and Simulation in Laser
Processing - Design
Title Exercise Modeling, Model Reduction and Simulation in Laser Processing -
Design
Sub-title E MMRSLP-D
Semester allocation 2 or 4
Connection to the
curriculum Elective module
73
Module: Multibody Dynamics
Module Multibody Dynamics
Module level Master
Subtitle MD
Lecture See list of lectures and examinations of the module
Semester allocation 2 or 4
Person in charge Univ.-Prof. Dr.-Ing. Dr. h. c. (UPT) Burkhard Corves
Lecturer Univ.-Prof. Dr.-Ing. Dr. h. c. (UPT) Burkhard Corves
Language English
Assignment to the
curriculum Elective module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 180h, Lecture hours 60h (4 SWS), Self-study 120h
Lecture hours 60h (4 SWS)
ECTS-Credit Points
(CP) 6
Requirements
according to
examination
regulation
-none-
Learning objectives
Multibody Dynamics
After successfully completing this course, the students will have acquired
the following learning outcomes:
Knowledge / Understanding
Students
have a profound knowledge of theory of vibrations;
are capable of comprehending, describing and analyzing vibratory systems;
are familiar with the most important matrix based procedures for the calculation of eigen motions and the behaviour of linear systems under forced excitations;
select suitable program systems for the calculation of nonlinear system and carry out proper simulations.
Abilities / Skills
74
Students
describe mathematically any mechanical system with its inherent physical effects like elasticity, damping and friction;
properly interpret simulation results especially under consideration of simplifications within the model compared to the real system.
Competencies
Students
derive from their knowledge the necessary methods and proceedings for the analysis and synthesis of the systems in regard. Thus they are capable to solve - accessing their acquired theoretical knowledge - complex problems concerning the choice and design of industrial vibratory systems.
Content
Multibody Dynamics
Introduction
Fundamentals
Fields of application
Model Building
Methods of Approach for Equivalent Models Multi-body Systems Determination of the Model Parameters General mathematical description
Kinematics of Multi Body Systems
Position and Orientation of Bodies Translational Kinematics Rotational Kinematics Equations of Motion
Lagrangian Equations of 2nd Kind Newton-Euler equations Linearisation Eigen Value Approach Undamped non-gyroscopic systems Damped gyroscopic systems Eigen Value Stability Criteria
Linear Systems with Harmonic Excitation
Real Frequency Matrix Complex Frequency Matrix State Equation System Matrix Eigen Value Approach Fundamental Matrix Modal Matrix Theorem of Cayley-Hamilton Analytical Solution Numerical Solution Step Excitation Harmonic Excitation Periodical Excitation
75
Introduction of Multi Body Simulation Software
ADAMS SIMPACK SimMechanics
Hands-On-Laboratory for Multi Body Simulation Software
ADAMS SIMPACK SimMechanics
Example Modelling Determination of Parameters Calculation
Evaluation
Media e-Learning L2P, Power Point
Literature Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Multibody Dynamics 6 0 0
120 (written)
or max. 60
(oral)
Lecture:
Multibody Dynamics 0 2 60 0
Exercise:
Multibody Dynamics 0 2 60 0
Teaching Unit / Examinations: Examination Multibody Dynamics
Title Examination Multibody Dynamics
Sub-title Exa MD
Semester allocation 2 or 4
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Lecture Multibody Dynamics
Title Lecture Multibody Dynamics
Sub-title L MD
76
Semester allocation 2 or 4
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Exercise Multibody Dynamics
Title Exercise Multibody Dynamics
Sub-title E MD
Semester allocation 2 or 4
Connection to the
curriculum Elective module
77
Module: Welding and Joining Technologies
Module Welding and Joining Technologies
Module level Master
Subtitle WJT
Lecture See list of lectures and examinations of the module
Semester allocation 2 or 4
Person in charge Univ.-Prof. Dr.-Ing. Uwe Reisgen
Lecturer Univ.-Prof. Dr.-Ing. Uwe Reisgen
Language English
Assignment to the
curriculum Elective module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 180h, Lecture hours 60h (4 SWS), Self-study 120h
Lecture hours 60h (4 SWS)
ECTS-Credit Points
(CP) 6
Requirements
according to
examination
regulation
-none-
Learning objectives
Welding and Joining Technologies
Welding is an interdisciplinary technology. All fields of industrial
manufacturing require the joining of individual parts to functional groups.
Many welding and cutting technologies are applicable for this purpose.
After successfully completing this course, the student will have acquired
the following learning outcomes:
Knowledge / Understanding
Students
understand the main welding technologies and know how to critically review the shown welding technologies.
Abilities / Skills
Students
78
select the suitable welding technologies for a welding task and to substantiate the selection by specifying the advantages and the disadvantages of the individual methods.
Content
Welding and Joining Technologies
Introduction
Welding of steel
Gas Fusion Welding
Manual Metal Arc Welding
Submerged Arc Welding
TIG Welding
Plasma Welding
MIG Welding
Electro Gas Welding
Electro Slag Welding
Pressure Welding
Resistance Welding
Electron Beam Welding
Laser Beam Welding
Special Processes
Mechanization / Automation
Sensor Technology
Brazing
Mechanical Joining / Adhesive Bonding
Design and Calculation
Media e-Learning L2P, Power Point
Literature Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Welding and Joining
Technologies
6 0 0
90-120
(written) or
max. 60
(oral)
Lecture:
Welding and Joining
Technologies
0 2 60 0
Exercise:
Welding and Joining
Technologies
0 2 60 0
79
Teaching Unit / Examinations: Examination Welding and Joining Technologies
Title Examination Welding and Joining Technologies
Sub-title Exa WJT
Semester allocation 2 or 4
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Lecture Welding and Joining Technologies
Title Lecture Welding and Joining Technologies
Sub-title L WJT
Semester allocation 2 or 4
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Exercise Welding and Joining Technologies
Title Exercise Welding and Joining Technologies
Sub-title E WJT
Semester allocation 2 or 4
Connection to the
curriculum Elective module
80
Module: Intelligent Monitoring of Engineering Systems
Module Intelligent Monitoring of Engineering Systems
Module level Master
Subtitle IMES
Lecture See list of lectures and examinations of the module
Semester 2
Person in charge Univ.-Prof. Dr.-Ing. Bernd Markert
Lecturer Univ.-Prof. Dr.-Ing. Bernd Markert; Daniel Hesser; Arnd Koeppe
Language English
Assignment to the curriculum
Elective Module
Teaching form Written and oral examination (Exam; Written/Oral Examination: 80%
Presentation: 20%), Lecture (L), Exercise (E)
Workload Total 150h, Lecture hours: 3 SWS
Lecture hours 3 SWS
ECTS-Credit Points (CP)
5
Requirements according to examination regulation
Programming experience, particularly in Python and/or Matlab, is recommended.
Learning objectives
Intelligent Monitoring of Engineering Systems The students will get an overview over current trends in structural health monitoring (SHM) and understand their theoretical foundation in the context of engineering applications After successfully completing this course, the students will have acquired the following learning outcomes:
Knowledge / Understanding
Students:
Are familiar with sensing systems, filtering methods and computational intelligence
Abilities / Skills
Students:
81
analyze engineering, mainly mechanical, systems and to monitor the relevant system parameters
apply fundamental methods of structural health monitoring
Competencies
Students:
transfer their knowledge to new engineering applications in science and industry.
independently plan, advance and complete research in the Monitoring of Engineering Systems
Content
Intelligent Monitoring of Engineering Systems
The course “Intelligent Monitoring of Engineering Systems” is available for
students enrolled in the Master programmes of RWTH Aachen University.
It provides insights into recent monitoring strategies, which are closely
linked to the field of structural health monitoring and computational
intelligence. The course will be taught interactively, engaging the students
using practical example projects.
The following topics are covered:
+ Sensing and Data acquisition
- Sensors
- Sensing Systems
+ Data Preparation
- Filtering
- Feature Engineering
+ Classification and Learning
+ Structural Health Monitoring
+ Predictive Maintenance
+ Case Studies
The course curriculum consists of interactive seminar lectures
accompanied by semester project works. During the seminar lectures, the
students will receive the necessary theoretical information and supervision
to independently plan, advance and complete the projects in small groups.
In addition, the seminars offer the opportunity to discuss challenges and
problems arising during the course of the projects. Finally, the
achievements and results obtained within the student projects will be
presented by the students in the scope of the seminar lectures and the
accompanying computer lab exercises.
Media e-Learning L2P, Power Point
Literature
Farrar, C.R. and Worden, K., 2012. Structural Health Monitoring: A Machine Learning Perspective. Wiley.
Lecture Notes, Slides
Students also receive a list of relevant literature
82
Lectures / Examinations
Title Code ECTS
Workload (SWS / h) Duration of Exam (min)
Lecture h. (SWS)
Self-Study (h)
Examination: Intelligent Monitoring of Engineering Systems
5 0 0
60 min. written or 30 min. oral
Lecture: Intelligent Monitoring of Engineering Systems
0 2 55 0
Exercise: Intelligent Monitoring of Engineering Systems
0 1 40 0
Teaching Unit / Examinations: Intelligent Monitoring of Engineering Systems
Title Examination Intelligent Monitoring of Engineering Systems
Sub-title Exam IMES
Semester 2
Connection to the curriculum
Elective Module
Teaching Unit / Examinations: Intelligent Monitoring of Engineering Systems
Title Lecture Intelligent Monitoring of Engineering Systems
Sub-title L IMES
Semester 2
Connection to the curriculum
Elective Module
Teaching Unit / Examinations: Intelligent Monitoring of Engineering Systems
Title Exercise Intelligent Monitoring of Engineering Systems
Sub-title E IMES
Semester 2
Connection to the curriculum
Elective Module
83
Module: Industrial product development process - battery systems for hybrid and electric vehicles
Module Industrial product development process - battery systems for hybrid and
electric vehicles
Module level Master
Subtitle FP
Lecture See list of lectures and examinations of the module
Semester allocation 2 or 4
Person in charge Dr.-Ing. Hartung Wilstermann
Lecturer Dr.-Ing. Hartung Wilstermann
Language English
Assignment to the
curriculum Elective module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 150h, Lecture hours 60h (4 SWS), Self-study 90h
Lecture hours 60h (4 SWS)
ECTS-Credit Points
(CP) 5
Requirements
according to
examination
regulation
-none-
Learning objectives
Industrial product development process - battery systems for hybrid
and electric vehicles
The students learn how to assimilate and process complex system
interrelationships. The development and production of high voltage battery
packs for hybrid and electric vehicles is used as an example of the
product development process.
They learn how to deal with vaguely formulated questions, how to use the
freedoms this opens up and how to find creative ways of solving
problems. During complex assignments they learn how to structure a
complex issue, how to split up the overall problem and then bring it
together again into a joint solution.
After successfully completing this course, the students will have acquired
the following learning outcomes:
84
Knowledge / Understanding
Students
have an understanding of the industrial product development process
understand the complete process chain
Abilities / Skills
Students
apply basic procedures in development, quality assurance, product qualification and production
set up market analyses and cost efficiency analyses
prepare specifications for battery packs and develop them taking into account the safety standards, industrial quality assurance procedures and the required production engineering
Competencies
Students
independently build a complete process chain
independently manage a complete industrial product development process in a practical setting
Content
Industrial product development process - battery systems for hybrid
and electric vehicles
Formulation of the requirements for vehicle batteries (among others package, weight, safety, costs, development time); development of specifications from these requirements, taking into account the standards and safety regulations relevant to the market; definition of key performance indicators for the development of vehicle batteries.
Measures and procedures for quality assurance and maintaining safety standards (e.g. ASIL – all levels) together with methods and processes for achieving these standards (including the V-model, concepts for developing secure software and its evaluation, etc.)
Fundamentals of costing and cost efficiency analyses on the basis of the parts lists, taking into account purchasing processes in the automotive industry and the production process.
Procedures for systematic competition and market analysis, patent and license research procedures, preparation of a dedicated portfolio of proprietary rights.
Product development of high voltage battery packs with full functionality incl. battery management system, thermal management and active/passive safety measures.
Development and optimization of the production process, definition of the machines and the level of automation, establishment of the logistic chains with vendors and semi-finished products.
Program of tests and trials to ensure functionality, the fulfilment of guarantee periods and all safety requirements.
85
Product Design
Requirement
Preparation of Specification
Development
PDP
A,B,C,D samples
Testing and simulation
Production planning
Tolerance management
Process FMEA
Requirements of the production facilities
Production start-up
Test bench technology – ensuring a zero defect product
Ramp-up of a production line and its optimization
Series production support
Quality and vendor management
Diagnosis
Quality control loops
Media e-Learning, Power Point
Literature Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Industrial product
development process -
battery systems for
hybrid and electric
vehicles
5 0 0 max. 45
(oral)
Lecture:
Industrial product
development process -
battery systems for
hybrid and electric
vehicles
0 2 45 0
86
Exercise:
Industrial product
development process -
battery systems for
hybrid and electric
vehicles
0 2 45 0
Teaching Unit / Examinations: Industrial product development process - battery systems for
hybrid and electric vehicles
Title Examination Industrial product development process - battery systems for
hybrid and electric vehicles
Sub-title Exa IPDP
Semester allocation 2 or 4
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Lecture Industrial product development process - battery
systems for hybrid and electric vehicles
Title Lecture Industrial product development process - battery systems for
hybrid and electric vehicles
Sub-title L IPDP
Semester allocation 2 or 4
Connection to the
curriculum Elective module
Teaching Unit / Examinations: Exercise Industrial product development process - battery
systems for hybrid and electric vehicles
Title Exercise Industrial product development process - battery systems for
hybrid and electric vehicles
Sub-title E IPDP
Semester allocation 2 or 4
Connection to the
curriculum Elective module
87
Compulsory Course – Second Semester
Language Course
Module: Language Course (2)
Module Language Course (2)
Module level Master
Subtitle LC 2
Lecture See list of lectures and examinations of the module
Semester allocation 2
Person in charge RWTH Aachen University Language Center
Lecturer -
Language German (if not proficient/native speaker)
Assignment to the
curriculum Compulsory module
Teaching form Written examination, Lecture, Exercise
Workload Total 60h, Lecture hours 30h (2 SWS), Self-study 30h
Lecture hours 30h (2 SWS)
ECTS-Credit Points
(CP) 2
Requirements
according to
examination
regulation
-none-
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Language Course (2) 2 0 0
60-90 min.
written
Lecture:
Language Course (2) 0 1 15 0
Exercise:
Language Course (2) 0 1 15 0
Teaching Unit / Examinations: Language Course (2)
88
Title Examination Language Course (2)
Sub-title Exa LC (2)
Semester allocation 2
Connection to the
curriculum Compulsory module
Teaching Unit / Examinations: Language Course (2)
Title Lecture Language Course (2)
Sub-title L LC (2)
Semester allocation 2
Connection to the
curriculum Compulsory module
Teaching Unit / Examinations: Exercise Language Course (2)
Title Exercise Language Course (2)
Sub-title E LC (2)
Semester allocation 2
Connection to the
curriculum Compulsory module
89
Compulsory Course – Third Semester
Program specific
Module: Quality Management
Module Quality Management
Module level Master
Subtitle QM
Lecture See list of lectures and examinations of the module
Semester allocation 3
Person in charge Univ.-Prof. Dr.-Ing. Robert Schmitt
Lecturer Univ.-Prof. Dr.-Ing. Robert Schmitt
Language English
Assignment to the
curriculum Compulsory module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 180h, Lecture hours 60h (4 SWS), Self-study 120h
Lecture hours 60h (4 SWS)
ECTS-Credit Points
(CP) 6
Requirements
according to
examination
regulation
-none-
Learning objectives
Quality Management
Professional and methodical competence:
The students develop an operational understanding of the different forms
of the concept of quality and classify them with regard to "industrial
intelligence". They are able to identify and classify problems in the
corporate context. They have basic knowledge in the field of machine
learning, are familiar with related advanced quality management methods
and can describe their specific applicability and effectiveness.
Application competence:
Students will be able to understand applications in the quality
management domain with the help of the theoretical and practical
knowledge imparted. They are able to build up the structure of an
90
"industrial intelligence" in the company context by means of quality
management methods, to evaluate its effectiveness and to further develop
and to connect methods of quality management.
Competence to act:
On the basis of their sound methodological and organizational knowledge,
the students are able to intervene in value chains in order to improve
them. They can recognize and evaluate situations, strengths and
weaknesses of an existing quality management system and formulate
suitable measures for further development.
After successfully completing this course, the students will have acquired
the following learning outcomes:
Knowledge / Understanding
Students
know important standards and guidelines in "Quality Management" and understand the structure of standards (High-Level Structure)
distinguish between system, process and product quality;
recognize quality-relevant data and data sources along the product life cycle;
explain statistical and methodological basics of "Industrial Intelligence" as a central task of quality management
understand basic data analytics and machine learning methods
know the legal implications
understand the concept of Internet of Production
understand the importance of quality and quality management in networked, adaptive production
name the classification of typical problems
Abilities / Skills
Students
apply data collection (e.g. gain customer insights in the product development process and during product use, data-driven procurement management);
apply of selected data analytics and machine learning methods (e.g. tor risk quantification and analyse problematic quality issues: prediction, process control)
organize quality management for services
undertake decision support of the "Smart Quality Expert" (e.g. Predictive Quality, Predictive Maintenance)
Competencies
Students
91
critically assess topics such as quality planning, quality costs and quality legal questions via discussions;
critically reflect approaches, methods and guiding principles while communicating their opinions.
Content
Quality Management
The module is based on the research content of the "Internet of
Production" cluster of excellence. Against this background, the
participants should take the intellectual transformation step from the
application of tools (methodological competence) to the shaping of the
underlying principles and interrelations in value chains (action
competence).
Media e-Learning Moodle, Power Point
Literature
Pfeifer, T.: Quality Management, Strategies, Methods, Techniques; Carl Hanser Verlag; München, 2002 Imkamp, Dietrich, et al. "Challenges and trends in manufacturing measurement technology–the “Industrie 4.0” concept." Journal of Sensors and Sensor Systems 5.2 (2016): 325-335. Schmitt, Robert, et al. "Enhancing resiliency in production facilities through cyber physical systems." Industrial Internet of Things. Springer, Cham, 2017. 287-313.
Lecture Notes
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Quality Management 6 0 0
120 (written)
or max. 60
(oral)
Lecture:
Quality Management 0 2 60 0
Exercise:
Quality Management 0 2 60 0
Teaching Unit / Examinations: Examination Quality Management
Title Examination Quality Management
Sub-title Exa QM
Semester allocation 3
Connection to the
curriculum Compulsory module
92
Teaching Unit / Examinations: Lecture Quality Management
Title Lecture Quality Management
Sub-title L QM
Semester allocation 3
Connection to the
curriculum Compulsory module
Teaching Unit / Examinations: Exercise Quality Management
Title Exercise Quality Management
Sub-title E QM
Semester allocation 3
Connection to the
curriculum Compulsory module
93
Compulsory Course – Third Semester
Track specific
Module: Process Analysis in Manufacturing Technology
Module Process Analysis in Manufacturing Technology
Module level Master
Subtitle PAMT
Lecture See list of lectures and examinations of the module
Semester 3
Person in charge Univ.-Prof. Dr.-Ing. Thomas Bergs
Lecturer Dr.-Ing. Guido Wirtz
Language English
Assignment to the curriculum
Compulsory Module
Teaching form Written or oral examination, Lecture, Exercise
Workload Total 150h, Lecture hours 45h (3 SWS), Self-study 105h
Lecture hours 45h (3 SWS)
ECTS-Credit Points (CP)
5
Requirements according to examination regulation
Recommended: Manufacturing Technology I
Learning objectives
Process Analysis in Manufacturing Technology Overall goal: Ability to analyse manufacturing processes Students understand how process and workpiece properties can be measured and analysed. They get to know metrology as an essential part of modern production processes. After successfully completing this course, the students will have acquired the following learning outcomes:
Knowledge / Understanding
Setup, functionality and application of technical sensors for the analysis of manufacturing processes
94
Components of a measuring chain, functionality, connection of the elements and estimation of the measuring deviation
Options on signal analysis of stationary and instationary processes in time and frequency domain
Characteristics of manufacturing technologies which require a scientific analysis
Abilities / Skills
Students are able to choose suitable measurement systems, to integrate them into manufacturing processes, to acquire and analyse the signals. In the laboratory, they gain the practical experience, which is required to apply the theoretical knowledge. Students are able to arrange the setup of a measuring chain, data acquisition in LabView and data analysis in the software Diadem.
Competencies
The students recognize correlations between process and part characteristics and can make conclusions on the part’s quality. Furthermore, they recognize the impact of metrology on manufacturing processes, which results from the integration of certain measurement systems. They are able to describe changes of dynamical systems and critically evaluate these changes.
Content
Process Analysis in Manufacturing Technology
Introduction on the scope of the course to go for the elective or not
Fundamentals:
Technical sensors: Strain, force, acceleration, acoustic emission, temperature, pressure, viscosity, clouding, moisture
Measuring chain : Components, setup, signal conditioning, analog-to-digital, parameterization, measuring deviation, application software LabView
Signal analysis: Time and frequency domain, bandwidth, spectral resolution, aliasing, analysis of stationary and instationary processes, application software Diadem
Applications:
Turning: Force, acceleration, temperature and wear measurement, force and wear modelling, self-induced and forced vibrations, residual stress measurement, thin film integrated sensors
Drilling: Force, acceleration, temperature and wear measurement, telemetry, force and wear modelling, short and deep hole drilling, monitoring of the chip removal, scaling of force and torque at small diameters
Milling: Interrupted cut, dynamical system analysis, transfer function, stability theory , force and acceleration measurement
Grinding: Grinding burn, nital etching, Barkhausen noise, adaptive grinding, sensor assisted dressing and balancing
Powder metallurgy: Powder classification, analysis of the porosity distribution, non- destructive testing methods
95
Laser material processing: Beam quality and caustic measurement, power measurement in the continuous and pulsed wave mode, weld seam tracing and triangulation
Forming and blank cutting: Integration of force and distance sensors in forming and cutting tools, tribological effects, measurement of pressure, temperature, viscosity and clouding of hydraulic oils
Material removal technologies: Measurement of high-frequency voltage and current impulses, application of measurement systems in electromagnetically polluted environments, force and distance measurement in micro EDM sinking, passivation layer thickness measurement in ELID grinding
Media Presentations, Laboratory: Data acquisition and analysis software
Literature
Klocke, F.; König, W.: Manufacturing Processes 1, 1st Ed., 2011
Klocke, F.; König, W.: Manufacturing Processes 2, 1st Ed., 2009
Klocke, F.; König, W.: Manufacturing Processes 4, 1st Ed., 2013
Lectures / Examinations
Title ECTS
Workload (SWS / h) Duration of Exam (min) Lecture h. (SWS) Self-Study (h)
Exam: Process Analysis in Manufacturing Technology
5 0 0 15 (oral) or 120 (written)
Lecture: Process Analysis in Manufacturing Technology
0 2 70 0
Exercise: Process Analysis in Manufacturing Technology
0 1 35 0
Teaching Unit / Examinations: Examination Process Analysis in Manufacturing Technology
Title Examination Process Analysis in Manufacturing Technology
Sub-title Exa PAMT
Semester 3
Connection to the curriculum
Compulsory Module
Teaching Unit / Examinations: Lecture Process Analysis in Manufacturing Technology
Title Lecture Process Analysis in Manufacturing Technology
96
Sub-title L PAMT
Semester 3
Connection to the curriculum
Compulsory Module
Teaching Unit / Examinations: Exercise Process Analysis in Manufacturing Technology
Title Exercise Process Analysis in Manufacturing Technology
Sub-title E PAMT
Semester 3
Connection to the curriculum
Compulsory Module
97
Elective Courses – Third Semester
Practicale Experiences or Elective Courses
Note: Instead of an internship, students may take elective modules in the scope of at least 12 Credit Points.
Module: Internship
Module Internship
Module level Master
Subtitle I
Lecture See list of lectures and examinations of the module
Semester 3
Person in charge Univ.-Prof. Dr.-Ing. Thomas Bergs
Lecturer Univ.-Prof. Dr.-Ing. Thomas Bergs
Language English
Assignment to the curriculum
Elective module
Teaching form Internship report (Examination) (Exa), Internship (I)
Workload Total 12 weeks
Lecture hours -
ECTS-Credit Points (CP)
12
Requirements according to examination regulation
-none-
Learning objectives
After successfully completing this course, the students will have acquired the following learning outcomes: Knowledge / Understanding Students:
know different fields of activity in the desired occupational field
understand theoretical concepts during implementation
Abilities / Skills Students:
98
put theory and practice in relation to each other
test their own abilities and knowledge on the basis of practical experience
follow and participate in production engineering team meetings
eliminate misconceptions about the chosen profession
Competencies Students:
assess their competences correctly
discern individual learning fields with regard to a professional activity
assess social processes and structures of companies and organisations
establish contacts with potential colleagues and employers
For more see guidelines for practical training in the examination regulations
Content
Internships in companies are necessary to ensure the correct choice of the course of studies, a sufficient understanding of the technical and economic courses as well as in preparation for the professional life (also in Germany) in the future.
The students should acquire knowledge about technical materials and processes used in practice corresponding economic considerations and procedures, and gain insights into social processes and structures in the companies.
For more see guidelines for practical training in the examination regulations
Media -
Literature -
Lectures / Examinations
Title ECTS
Workload (SWS / h) Duration of Exam (min) Lecture h. (SWS) Self-Study (h)
Examination: Internship
12 0 0 -
Internship: Internship
0 0 360 0
Teaching Unit / Examinations: Examination Internship
Title Examination Internship
Sub-title Exa I
Semester 3
99
Connection to the curriculum
Elective module
100
Compulsory Course – Third Semester
Language Course
Module: Linguistic Elective
Module Linguistic Elective
Module level Master
Subtitle LE
Lecture See list of lectures and examinations of the module
Semester allocation 3
Person in charge RWTH Aachen University Language Center
Lecturer -
Language Freely selectable
Assignment to the
curriculum Compulsory module
Teaching form Written examination, Lecture, Exercise
Workload Total 60h, Lecture hours 30h (2 SWS), Self-study 30h
Lecture hours 30h (2 SWS)
ECTS-Credit Points
(CP) 2
Requirements
according to
examination
regulation
-none-
Lectures / Examinations
Title ECTS Workload
Duration of
Exam (min) Lecture h. (SWS) Self-Study (h)
Examination:
Linguistic Elective 2 0 0
60-90 min.
written
Lecture:
Linguistic Elective 0 1 15 0
Exercise:
Linguistic Elective 0 1 15 0
Teaching Unit / Examinations: Linguistic Elective
101
Title Examination Linguistic Elective
Sub-title Exa LE
Semester allocation 3
Connection to the
curriculum Compulsory module
Teaching Unit / Examinations: Linguistic Elective
Title Lecture Linguistic Elective
Sub-title L LE
Semester allocation 3
Connection to the
curriculum Compulsory module
Teaching Unit / Examinations: Exercise Linguistic Elective
Title Exercise Linguistic Elective
Sub-title E LE
Semester allocation 3
Connection to the
curriculum Compulsory module
102
Compulsory Course – Fourth Semester
Master Thesis
Module: Master Thesis
Module Master Thesis
Module level Master
Subtitle MaTh
Lecture See list of lectures and examinations of the module
Semester allocation 4
Language English
Assignment to the curriculum
Compulsory module
Workload 6 Months
ECTS-Credit Points (CP)
30
Requirements according to examination regulation
The topic of the Master Thesis cannot be assigned until 85 CP have been successfully completed.
Learning objectives
Master Thesis
The students learn how to independently approach and work on academic topics, document their progress and finalize the entire project within a given deadline. They acquire systematic academic research skills.
Content
Master Thesis
Complete academic paper to show that the students are capable of independently working on a problem related to their subject using academic methods.