module handbook b.sc. mechanical engineering

RUHR-UNIVERSITY BOCHUM|OTTO-VON-GUERICKE UNIVERSITY |VIETNAMESE-GERMAN UNIVERSITY

Module handbook B.Sc. Mechanical Engineering

20.06.2018

Modulkatalog des Studienganges Mechanical Engineering an der VGU

Table of contents Mathematics 1 ......................................................................................................................................... 3

Mathematics 2 ......................................................................................................................................... 4

Mathematics 3 ......................................................................................................................................... 5

Numerical mathematics .......................................................................................................................... 6

Physics ..................................................................................................................................................... 7

Chemistry ................................................................................................................................................ 8

Mechanics A ............................................................................................................................................ 9

Mechanics B .......................................................................................................................................... 10

Basics of Materials Technology I ........................................................................................................... 11

Basics of Materials Technology II .......................................................................................................... 12

Engineering Design 1 and 2 ................................................................................................................... 13

Computer science for mechanical engineering: basics and application (BA) and introduction to

programming (IP) .................................................................................................................................. 15

Electrical engineering ............................................................................................................................ 16

Thermodynamics ................................................................................................................................... 17

Integrated Design Engineering (IDE) ..................................................................................................... 18

Internal Combustion Engines ................................................................................................................ 19

Basics of Measurement Technology...................................................................................................... 20

Laboratory Courses in Measurement Technology and Materials Technology...................................... 21

Basics of Control Engineering ................................................................................................................ 22

Fluid Mechanics ..................................................................................................................................... 23

Basics of Machine Dynamics and Drive System Technology ................................................................. 24

Basics of automation and manufacturing theory .................................................................................. 25

Technical Logistics ................................................................................................................................. 27

Basics of Finite Element Method ........................................................................................................... 28

Mechanics C........................................................................................................................................... 29

Heat and Mass Transfer ........................................................................................................................ 30

Basics of Fluid Machinery ...................................................................................................................... 31

Fundamentals of Chemical Engineering ................................................................................................ 32

Apparatus Engineering .......................................................................................................................... 33

Renewable Energies: Materials, Components, Function ...................................................................... 35

Industrial Management ......................................................................................................................... 36

Quality Management............................................................................................................................. 38

3

Mathematics 1

Identifier: Required

Work load 210 h

Semester 1st Semester

Duration 1 Semester

1 Course:

Mathematics 1

Lecture 4 h/week Exercise 2 h/week

Self-study

120 h

Credit points

7 ECTS

2 Teaching method: Lecture + exercise

3 Group size: Lecture: All enrolled students in the semester; Exercise: There is a group size of max. 30 students sought.

4 Learning outcomes / Skills: Students should be able to model mathematically applied engineering problems, to identify and evaluate the suitable mathematical tools from the fields of linear algebra and analysis of one variable for this model and to solve the mathematical problem with the selected methods.

5 Content:

There are taught mathematical methods of linear algebra and analysis of one variable: Complex numbers: definition, features a calculation rules Matrices, determinants and solution methods for system of linear equations Vector spaces, subspaces and base exchange Eigen value, eigenvectors und transformation of principal axis Sequences and series and their convergence; convergence criteria Differential calculus for functions of a real and complex variable (techniques of differentiation, mean

value theorem, formulas of Taylor, applications) Integral calculus of a variable (integration techniques, primitive, mean value theorem, applications)

6 Type of Course: Compulsory module in the bachelor course mechanical engineering

7 Requirement for participation: Successful participation of the foundation year

8 Type of examination: Written exam

9 Requirements for receiving credit points: Passing the exam

10 Significance of the mark on the final score: According to ECTS

11 Course repetitions: Once per year

12 Responsible course lecturer: Dr. Loc

13 Additional information: This course is taught as a block seminar.

4

Mathematics 2


Work load 180 h


Duration 1 Semester

1 Course:

Mathematics 2


Self-study

120 h

Credit points

6 ECTS



4 Learning outcomes / Skills: Students should be able to model mathematically applied engineering problems, to identify and evaluate the suitable mathematical tools from the fields of analysis of several variables for this model and to solve the mathematical problem with the selected methods

5 Content:

There are taught mathematical methods of analysis of several variables: Power series (convergence criteria, application) Differential calculus for functions of several variables (total derivative, directional derivative, partial

derivatives and contexts, application, extremes with and without constraints) Integral calculus for functions of several variables (integral of area, volume and surface integral,

Integral theorem by Green, Gauß and Stokes with application) Ordinary differential equations and solution techniques (separations of variables, variation of

constants, exact differential equations and integrating factors, special types of differential equations, systems of ordinary differential equations)


7 Requirement for participation: Passing Mathematics 1 is recommended.







5

Mathematics 3


Work load 150 h

Semester 2nd Semester

Duration 1 Semester

1 Course:

Mathematics 3


Self-study

105 h

Credit points

5 ECTS



4 Learning outcomes / Skills: Students should be able to model mathematically applied engineering problems, to identify and evaluate the suitable statistical procedures for the solution of the mathematical model and to solve the mathematical problem with the selected methods.

5 Content:

There are taught the fundamental methods of probability calculus and mathematical statistics:

Probability rooms, conditional probability, discrete and continuous random variable, independence Density function, distribution function and important distributions (normal, exponential, Poisson,

gamma and binomial distribution) Expected value, variance, covariance, correlation coefficient Descriptive statistics, theory of estimation, confidence interval, fundamentals of test theory and a

few of practical test procedure Multivariate distribution, law of large numbers, central limit theorem, minima and maxima of random

variables, linear regression, chi^2 test


7 Requirement for participation: Passing Mathematics 1 & 2 is recommended.







6

Numerical mathematics


Work load 120 h


Duration 1 Semester

1 Course:

Numerical Mathematics


Self-study

75 h

Credit points

4 ECTS


3 Group size: : Lecture: All enrolled students in the semester (usually approximately 300); Exercise: There is a group size of max. 30 students sought.

4 Learning outcomes / Skills: Students should be able to model mathematically applied engineering problems, to identify and evaluate the suitable numerical procedures for the solution of the mathematical model and to solve the mathematical problem with the selected methods.

5 Content:

There are taught fundamental methods of numerical mathematics: Methods for solving large systems of equations (Gauß method, L-R-analysis, Cholesky-method and

relative) Methods for solving non-linear equations and systems of equation, in particular Newton-method

with modifications Methods for calculating eigenvalues and eigenvectors Lagrange, Hermite and Spline interpolation Method for numerical integration Numerical solution of ordinary differential equations, initial value problem (one-step procedure, in

particular Runge-Kutta procedure, order and convergence, importance of the stability and application to rigid systems, increment test, several step method)


7 Requirement for participation: Passing Mathematics 1 & 2 is recommended.







7

Physics


Work load 120 h


Duration 1 Semester

1 Course:

Physics

Lecture 2 h/week Exercise/Tutorials 1 h/week

Self-study

75 h

Credit points

4 ECTS

2 Teaching method: Lecture and exercise/tutorials

3 Group size: Lecture: All enrolled students in the semester (usually approximately 300); Exercise/tutorials: There is a group size of max. 25 students sought.

4 Learning outcomes / Skills: The lecture provides an introduction to the basic concepts of classical physics. Thereby the students are able to develop a basic physical understanding of mechanical and thermodynamic phenomena. The benefit of physical experiments is illustrated by mathematical descriptions. The students acquire the ability to analyse simple physical processes, to idealize and to describe mathematically. Furthermore, the use of physical units and conservation laws is learned.

5 Content:

Mathematical basics, physical units, mechanic of mass point and rigid bodies (speed, forces, operations, rotation), liquids and gases (pressure, tension, toughness, flow), vibrations and waves, thermodynamics (temperature, kinetic theory of gases)







12 Responsible course lecturer: Dr. Hien


8

Chemistry


Work load 120 h

Semester 3rd Semester

Duration 1 Semester

1 Course:

Basics of chemistry

Lecture 3 h/week

Self-study

75 h

Credit points

4 ECTS

2 Teaching method: lecture and exercise

3 Group size: Lecture: All enrolled students in the semester (usually approximately 300); Exercise: There is a group size of max. 30 students sought

4 Learning outcomes / Skills: The Students are taught basic chemical knowledge, useful for understanding chemical reactions and material properties, which is fundamental for example in materials science. The students acquire the ability to understand basic chemical questions and to develop simple subject-specific solutions, supporting the capability to scientific learning and thinking.

5 Content:

It discusses the fundamentals of construction of matter, in order to understand the structure of the Periodic Table of Elements. In addition to key concepts of chemistry such as energy and equilibrium reactions are mediated, which allow the students to conduct thermodynamic calculations themselves. Finally, simple types of reactions such as reactions of ions in aqueous solution and oxidation and reduction reactions are introduced, which are essential for chemical understanding of corrosion processes and combustion processes.

In the second part an overview of the chemistry of substance of main group elements is procured. On the one hand the mediated knowledge in the first part is illustrated with examples; on the other hand, students become acquainted with typical reactions, properties and use of certain elements and compounds. Finally, basics of organic chemistry are addressed, in particular to become acquainted with the construction of important materials such as plastics.







12 Responsible course lecturer: Dr. Luu


9

Mechanics A


Work load 270 h


Duration 1 Semester

1 Course:

Mechanics A


Self-study

12 h/week

Credit points

9 ECTS


3 Group size: All enrolled students of the semester

4 Learning outcomes / Skills: The students become familiar with terminology and thinking of an engineer which is essential for the advanced lectures. They are enabled to abstract physical conditions, to reduce them to the significant and to handle the results with mathematical methods. They are enabled to describe systems of forces and bodies as well as the influence of these systems of forces on bodies at rest and in motion.

5 Content:

General fundamentals: physical quantities, reference systems, properties of bodies and forces, SI units;

Concurrent systems of forces in a plane and in space: reduction, equilibrium;

General systems of forces in a plane and in space: equivalence theorems for forces, moment of a force, couple, reduction, equilibrium;

General principles of the kinetics: basic concepts of the kinematics, Newton’s second law of motion, energy analysis;

Metric quantities of bodies, areas, lines: moments of order 0 and 1, center of gravity, idealized bodies;

Supported bodies: statically determinate support, support reactions;

Stress resultants: method of sections, differential relationships for straight beams, diagrams of stress resultants;

Systems of bodies: kinematic and static determinacy, diagrams of stress resultants, trusses;

Work principles, principle of virtual displacements for statically determinate systems;

Stability of equilibrium states;

Fundamentals of the mechanics of deformed bodies: stresses, strains.

The lecture is complemented by numerous applications and examples. 6 Type of Course: Compulsory course in B.Sc. Mechanical Engineering




10 Significance of the mark on the final score: Weighted according to ECTS


12 Responsible course lecturer: Dr. Han, Prof. Hackl, Prof. Altenbach


10

Mechanics B


Work load 270 h


Duration 1 Semester

1 Course:

Mechanics B


Self-study

12 h/week

Credit points

9 ECTS


3 Group size: All enrolled students of the semester.

4 Learning outcomes / Skills: The course familiarizes the students with terminology and thinking of an engineer which is essential for the advanced lectures. They are enabled to abstract physical conditions, to reduce them to the significant and to handle the results with mathematical methods. They are enabled to describe systems of forces and bodies as well as the influence of these systems of forces on bodies at rest and in motion.

5 Content:

Material law: linear-elastic body, stress hypotheses;

Basic elastostatics of beams: bending with normal and shear force;

Bending with normal and shear force: displacements, Mohr’s analogy, composite sections;

Kinetics of particles: one-dimensional and general free and guided motions;

Motion resistance: friction;

Kinetics of rigid bodies: moment of inertia, principle of linear and angular momentum for rigid bodies, conservation of energy;

Plane motion of rigid bodies: kinematics, motion about a fixed axis, general motion;

Basic theory of the impact: central impact, general impact. The lecture is complemented by numerous applications and examples.

6 Type of Course: Compulsory course in B.Sc. Mechanical Engineering

7 Requirement for participation: Passing Mechanics A is recommended.





12 Responsible course lecturer: Dr. Han, Prof. Hackl, Prof. Altenbach


11

Basics of Materials Technology I


Work load 120 h


Duration 1 Semester

1 Course:

Materials Technology I


Self-study

4 h/week

Credit points

4 ECTS

2 Teaching method: lectures, tutorials, practical course

3 Group size:

4 Learning outcomes / Skills: The participants acquire basic knowledge of structures and properties of different materials. The physical basics for the interpretation of binary phase diagrams are taught, as well as the fundamental knowledge of the working principles during mechanical testing and the resulting materials properties. Furthermore, the students ability to select materials for specific applications is enhanced during the lecture.

5 Content:

The lecture deals with...

Terms and definitions

Atomic and molecular structures of metallics, ceramics and polymers

Macro- and microstructures

Solidification processes

Phase constitution and phase transformations

Methods for analyzing materials structures

Mechanical and physical properties

Mechanical testing methods

Non-destructive testing

Examples of structural and functional materials



8 Type of examination: Written exam, 90 minutes




12 Responsible course lecturer: Jun.-Prof. Manja Krüger / Prof. Dr. Thorsten Halle

13 Additional information: A list of relevant literature will be given during the 1st lecture. This course is taught as a block seminar.

12

Basics of Materials Technology II


Work load 150 h


Duration 1 Semester

1 Course:

Materials Technology II

Lecture 2 h/week Seminar, practical course 2 h/week

Self-study

6 h/week

Credit points

5 ECTS

2 Teaching method: lectures, seminar, practical course

3 Group size:

4 Learning outcomes / Skills: The participants will have knowledge in general, relevant laws concerning materials properties as a function of material constitution, classes of materials, manufacturing processes of materials and differences in material classes. The students acquire basic knowledge in the use of materials, as well. Therefore, the participants will be able to transfer their theoretical knowledge to specific problems in engineering science.

5 Content:


properties of materials (optical, magnetic, thermal, electrical, mechanical)

corrosion of materials

manufacturing of materials (Al, Fe, Si; selected specific processes; ceramics, polymers) use of selected materials


7 Requirement for participation: Passing Basics of Materials Technology I is recommended.





12 Responsible course lecturer: Prof. Dr. Michael Scheffler


13

Engineering Design 1 and 2


Work load 270 h

Semester 1st and 4th Semester

Duration 2 Semesters

1 Course:

a) Engineering Design 1

Lectures 2 h/week Exercise 1 h/week b) Engineering Design 2

Lectures 3 h/week Exercise 1 h/week

Self-study

5 h/week

6 h/week

Credit points

9 ECTS

2 Teaching method: The course will be carried out through lectures and laboratory/seminar sessions. Students will have to work on a defined lecture – accompanying individual semester project and a selected design project. Here students have to present their project at the different stages of their design. This work is usually done in a team of up to five students.

3 Group size:

4 Learning outcomes / Skills: Students learn to engineer a complete system and understand and appreciate, what disciplines are needed to design and consequently manufacture an engineering system. The taught approach is independent from engineering branches. The course provides various engineering design approaches, where all requirements, boundary conditions and expected outcomes are considered and evaluated to find the solution for an engineering task, that best fits the problem definition. The students will be able to work in various engineering branches and is prepared to attack and solve an engineering design problem, work in a team of engineers with different, needed special experiences. The course will enable students to take leading functions in a team of engineers.

14

5 Content:

Under the umbrella of Engineering Design, the development, calculation and design of Engineering Systems will be discussed. At necessary length, some important Machine Elements will be reviewed with relevance to the overall design process. The lectures will be in close relation to the homework and semester project. The basic Machine Elements will be discussed and studied.

Engineering Design covers the following topics:

Introduction

Design problem definition

Fundamentals of creative thinking

Generation of alternative solutions

Fundamentals of technical systems and consequences for the design process

Product planning and clarification of the task

Listing the functional requirements and constraints

Establishing function structures

Methods for searching for solution principles to fulfill the functions

Selecting suitable combinations of solution principles

Evaluating concept variants

Principles of embodiment design

Design guidelines

Size ranges and modular products.

Some Machine Elements will be discussed, respectively reviewed, within the outline of the above topics.

6 Type of Course: Optional/compulsory course in B.Sc. Mechanical Engineering

7 Requirement for participation: Successful Participation of the Foundation Year, Fluent in English, passing Mathematics, Mechanics and Material Science is recommended.

8 Type of examination: Written Final Exam after 4th semester. Submission of Engineering Design Projects (Homework and Independent Semester Project at the end of the 4th semester)

9 Requirements for receiving credit points: Passing the Final Exam and Finishing the Semester and Homework Project as Explained in the Syllabus

10 Significance of the mark on the final score: Weighted according to ECTS. The defined lecture project counts for 30% of the grade, the selected design project for another 30% and the final exam for 40% of the grade. Important: The conditions of the design project MUST be met, in order to be admitted to the Final Exam!

All work has to be submitted in English.


12 Responsible course lecturer: Prof. Dr.-Ing. Karl - Heinrich Grote


15

Computer science for mechanical engineering: basics and application (BA) and introduction to

programming (IP)


Work load 180 h

Semester 4th Semester


1 Course:

a) Computer science for ME: basics and application (BA)

Lectures 3 h/week

b) Computer science for ME: introduction to programming (IP)

Lectures 3 h/week

Self-study

45 h

45 h

Credit points

6 ECTS

2 Teaching method: Lecture, tutorials, supervised exercises

3 Group size: lecture: all enrolled students of this semester; exercise: supposed to be around 30 students

4 Learning outcomes / Skills: The students gain knowledge about basic, relevant software solutions used in the field of Mechanical Engineering. For this, the lecture is supported by several examples, that are based on engineering problems. Furthermore, the lecture deals with several, different software solutions, which are used interdisciplinary, for example in the field of engineering design or, generally, for universal calculations in different topics of engineering sciences. A list of general topics of the two parts of this lecture follows below.

5 Content:

Basics and application:

Overview of IT-Software in the Engineering-sector

Basics of hardware, operating systems and computer-intern representation of information

Base functions of mathematical calculation software as well as relational database

Computer-aided modelling of elements with help of a parametric 3D-CAD-Systems Introduction to programming:

Information theory, logic, number systems, computability and algorithms

Basics of object-orientation and syntax of programming languages

Console application and class libraries




9 Requirements for receiving credit points: Passing the Final Exam and successful participation of exercises

10 Significance of the mark on the final score: Weighted according to ECTS.


12 Responsible course lecturer: Prof. for Applied Computer Science


16

Electrical engineering


Work load 240 h



1 Course:

Basics of electrical engineering

Lecture 4h/week Exercise 2h/week

Self-study

150 h

Credit points

8 ECTS

2 Teaching method: Lecture with exercises

3 Group size: Lecture: All enrolled students in the semester (usually approximately 250); Exercise: There is a group size of max. 30 students sought.

4 Learning outcomes / Skills: The students acquire knowledge about the basic laws and methods to analyse linear, electrical circuits. For this, mathematical fundamentals of the theory of complex numbers is used. Furthermore, the students are provided with knowledge about Maxwell’s theory and the basic working principles of transformers, direct current and induction machines. The students are taught, how to solve simple problems mathematically.

5 Content:

Electrostatics, doctrine of direct current, electromagnetism, magnetic induction, dispersion of fields, direct current machine, transient in simple linear circuits, doctrine of alternation current for variable frequencies, doctrine of rotary current, transformers, magnetic rotary field, synchronous motors, asynchronous motors, main features of electronic semiconductor switching elements.


7 Requirement for participation: Successful participation of the Foundation Year



10 Significance of the mark on the final score: According to ECTS.


12 Responsible course lecturer: Prof. for Electronics


17

Thermodynamics


Work load 240 h



1 Course:

Thermodynamics

Lecture 4h/week Exercise 2h/week

Self-study

150 h

Credit points

8 ECTS

2 Teaching method: Lecture supported by tutorials closely linked to the lecture

3 Group size: Lecture with all students of the year, tutorials with max. 30 students

4 Learning outcomes / Skills: The students are enabled to recognize the thermodynamic basis of technical processes and to analyse the processes on this basis. They know fundamental concepts like equilibrium, dissipation and exergy loss. They are able to address thermodynamic property related questions in practical technical problems. The acquired skills are primarily applied to problems related to energy technologies both in the lecture and in the tutorials. Students learn fundamentals of heat transfer; at least for majors in the area of energy- and process technologies specialized courses on heat and mass transfer have to build upon these fundamentals later on.

5 Content:

Fundamentals of thermodynamic analyses; definition of system and process

The first law of thermodynamics as law of energy conservation

The second law of thermodynamics and its consequences for processes in energy technologies

The exergy concept

Thermodynamic properties as fundamentals for calculations in energy and process technologies

Power and refrigeration cycles as typical representatives for applications in energy technologies

Properties of simple mixtures; mixtures of ideal gases and humid air as examples

Combustion processes as example for chemical reactions

Energy balances for processes involving chemical reactions

Fundamentals of heat transfer







12 Responsible course lecturer: Prof. Span


18

Integrated Design Engineering (IDE)


Work load 150 h


Duration 1 Semester

1 Course:

Integrated Design Engineering (IDE)


Self-study

6 h/week

Credit points

5 ECTS

2 Teaching method: Lectures and Exercises with scripts and exercise instructions. Media used: Data projector, overhead projector, blackboard

3 Group size: Lectures: < 40 participants, project work: 8-10 participants/project

4 Learning outcomes / Skills: The lecture imparts the ability to handle the mutual influences of the product attributes industrial design, functionality, usability, producibility/availability, maintainability, sustainability as well as safety, reliability and quality together with profitability and added value and to use them in a synergetic way when developing products. Additionally, the students will be able to understand and to apply different but linked views on a product and to apply process description knowledge and experiences of project work to the realisation of interdisciplinary projects. Among other things, the students acquire competencies, that enable them to apply IDE tools appropriately (primarily author, simulation, and management systems) and to use integrated methods of economic calculation to any issues of IDE.

5 Content:

In-depth introduction to IDE and to the associated project work

Holistic treatment of product attributes, together with provided / expected product behavior and product performance

Product integration

Project and Process Management (Dynamic Navigation and holistic procedure modelling)

Tools for integrated processing and support

Economic benefits of integrated approaches

Project work



8 Type of examination: Study-accompanying examination performance + written exam




12 Responsible course lecturer: Dr.-Ing. Dipl.-Math. Michael Schabacker, Faculty of Mechanical Engineering, Institute of Mechanical Design (FMB-IMK) Otto-von-Guericke University Magdeburg, Germany

13 Additional information: Recommended literature: Vajna,S.: Integrated Design Engineering, Springer 2014. This course is taught as a block seminar.

19

Internal Combustion Engines


Work load 150 h


Duration 1 Semester

1 Course:

Internal Combustion Engines


Self-study

90 h

Credit points

5 ECTS

2 Teaching method: Lecture, exercise

3 Group size: t. b. d.

4 Learning outcomes / Skills: Detailed learning objectives to achieve these competences are the impartment of the fundamentals of reciprocating machines and Internal Combustion Engines. Furthermore, the significance of combustion engines, as well as their (dis-)advantages and their importance for powertrains are covered. The students acquire the ability to model and solve engineering problems, applied specifically to the field of Internal Combustion Engines. This qualifies the students to apply their obtained knowledge to real problems in the field of combustion engines, as well.

5 Content:

Topics: Definition Thermodynamics of Internal Combustion Engines Crank drive kinematics Combustion Mass balancing Types and use of ICE

6 Type of Course: Optional/compulsory course in B.Sc. Mechanical Engineering

7 Requirement for participation: Successful participation of the foundation year Bachelor Mechanical Engineering, Mechatronic, Master of Business and Engineering or equivalent knowledge

8 Type of examination: Written/oral exam (depending on group size)




12 Responsible course lecturer: Prof. Rottengruber, Faculty Mechanical Engineering, Institute of Mobile Systems (FMB-IMS) Otto-von-Guericke University Magdeburg, Germany


20

Basics of Measurement Technology


Work load 90 h


Duration 1 Semester

1 Course:

Basics of measurement techniques

Lecture 2 h/week

Self-study

60 h

Credit points

3 ECTS


3 Group size: Lecture all enrolled students of this semester

4 Learning outcomes / Skills: In this module basic knowledge about definitions as well as extraction and evaluation of important factors in the field of mechanical engineering are covered. The causes and the meaning of measurement errors as well as the statistical analysis of measurement data are mediated. Furthermore, the physical basics and their practical implementation in machines and methods for obtaining important physical quantities are explained. The students acquire the ability to choose suitable instruments regarding to a given measurement task and rate the discussed measurement methods concerning function, efficiency and usability.

5 Content: As a basic course this lecture gives an overview of the field of industrial measurement techniques. Basic terms of the measurement chain, of the measurement errors and of the statistical evaluation of measurement data are explained. Most importantly, those physical effects that allow to use sensors and transmitters as an electrical measurement method for mechanical properties are treated. Especially sensors, measurement instruments and methods for the measurement of the following parameters are discussed: length, path, angle, roughness, force, vibration, pressure, flow rate, velocity and temperature.

6 Type of Course: Required course for Bachelor Mechanical Engineering





11 Course repetitions: Once per year in the winter semester

12 Responsible course lecturer: Prof. Ostendorf/Prof. Esen/Dipl-Ing. Ksouri


21

Laboratory Courses in Measurement Technology and Materials Technology


Work load 90 h


Duration 1 Semester

1 Course:

Laboratory Courses in Measurement Technology and Materials Technology

Contact time 2 h/week

Self-study

60 h

Credit points

3 ECTS

2 Teaching method: Practical Laboratory Courses

3 Group size: Groups of 4-5 students

4 Learning outcomes / Skills: The students learn the handling of common measurement systems, with focus on general measurement technologies as well as measurement devices used in material sciences, specifically. Furthermore, the students will be able to apply statistical methods learned in previous lectures to real measurement problems. Possible error sources based on the measurement principle shall be identified and accounted for within the data analysis.

Another important aspect is the documentation and presentation of the processed results. The documentation is done in the form of a formally written report, which contains all relevant steps (set-up, processing of measurement data and discussion of results). The presentation shows the important aspects of the particular experiment (15-20 min).

5 Content:

For each laboratory course (a) Measurement Technologies; b) Materials Technology) there are four experiments available a)

Length measurement

Laser triangulation

Roughness measurement

Vibration measurement b)

Thermal analysis

Structure materialography

Heat treatment

Non-destructive examination

6 Type of Course: Required course for Bachelor Mechanical Engineering


8 Type of examination: Evaluation of the laboratory internships

9 Requirements for receiving credit points: Successful participation in the internship


11 Course repetitions: Once per year in the winter semester

12 Responsible course lecturer: Prof. Ostendorf/Prof. Scheffler/Prof. Halle/Jun.-Prof. Krüger


22

Basics of Control Engineering


Work load 180 h


Duration 1 Semester

1 Course:

Basics of control engineering


Self-study

120 h

Credit points

6 ECTS


3 Group size: Lecture all enrolled students of this semester; Exercise: max. 30 students

4 Learning outcomes / Skills: The students get an insight in the most important concepts and basic terms of control technology (controlling and regulation, return, transmission component, block diagram, control loop, controller) and are introduced to basic methods for analysis and targeted manipulation of the dynamic behaviour of technical, dynamic systems. (Pole/zero analysis, locus, Bode-Diagram, Nyquist-procedure, control unit design with different methods). The students acquire the ability to use basic methodological approaches of control technology as the pole/zero analysis, locals, Bode-diagram for analysis of the dynamic behaviour of linear and linearisable, time invariant, single-variable systems in the time domain as well as in the frequency domain. The students are able to design and apply controllers for linear or linearisable time invariant single-variable systems.

5 Content:

Control technology is the methodological base for the automation of technical systems of all kind - from industrial scale to household appliances and devices in entertainment electronics. The universality of the explained methods is based on the abstraction of the specific case with the particular physical system units. In the beginning of this lecture basic terms, the term transmission component and block diagram are introduced. After mathematical descriptions of the transmission behaviour in the time and frequency domain follows the Laplace transformation where a limitation on linear or linearisable single-variable systems is set. The frequency and time behaviour, especially the stability and stability criteria, are analysed. In following sections procedures for determining plant models and for controller settings are explained. Additionally, basic terms of automation technology with a focus on binary control and their presentation with the help of Boolean algebra, Karnaugh-Diagrams and function charts are explained.


7 Requirement for participation: Passing Mathematics 1, 2 & 3 as well as Numerical Mathematics, Physics and Chemistry is recommended.





12 Responsible course lecturer: Prof. for Digital Signal Processing


23

Fluid Mechanics


Work load 150 h


Duration 1 Semester

1 Course:

Basics of control engineering


Self-study

6 h/week

Credit points

5 ECTS


3 Group size:

4 Learning outcomes / Skills: Students know the most relevant basic relations and methods of fluid dynamics including key flow examples. They are able to choose and apply established methods and techniques to solve new flow problems. The participants will be able to identify and classify even complex flow problems and solve easy flow examples numerically.

5 Content:

Introduction

Hydrostatics

Hydrodynamics

Governing equations of incompressible flows

One-dimensional instationary flows

Creeping flows

Potential flows

Turbulent Pipe Flows

Boundary layer flows

Self-similar flows

Basics of compressible flows







12 Responsible course lecturer: Prof. Hussong


24

Basics of Machine Dynamics and Drive System Technology

Identifier: Required in Engineering Design and Automation

Work load 180 h


Duration 1 Semester

1 Course:

a) Basics of drive technology

Lecture 2 h/week Exercise integrated in lecture

b) Machine dynamics

Lecture 2 h/week Exercise integrated in lecture

Self-study

120 h

Credit points

6 ECTS

2 Teaching method: Lecture and integrated exercise

3 Group size: Lecture: on demand (around 30 students); exercise: about 15 students

4 Learning outcomes / Skills: This course gives basic strategies for designing powertrains. After completing this course the students know the requirements which are laid down on powertrains as well as all components and their properties. The students acquire the ability to apply methods for analysing dynamic stressed machines on concrete examples. Furthermore, they learn methods for determining natural and excitation frequencies in the powertrain. They know approaches of dynamic simulations of powertrains and are able to interpret simulation results and measurements of dynamic stressed motors to suggest useful improvements.

5 Content:

The lecture deals with the basic structure and the basic behaviour of powertrains. A powertrain contains at least one engine and at least one working machine as well as shafts, couplings and gears, which connect the machines. Firstly, the lecture deals with the design of powertrains. The lecture particularly focuses on the definition of requirements of the work process in terms of characteristic diagrams, load spectrums, etc. This shows the requirements for engines and the design of all other components of a powertrain. Furthermore, the lecture investigates the dynamic behaviour of powertrains and the properties of components like engines, gears, brakes and couplings. The lecture covers basics for setting up differential equations for movement of discrete and continuous structures, as well. Further on, the lecture gives an insight in eigenvalue problems, harmonic analysis, Raleigh – and Grammel quotients, procedure of Ritz, Southweill and Dunkerly, force and path methods.

6 Type of Course: Compulsory course in B.Sc. Mechanical Engineering, Major Engineering Design and Automation

7 Requirement for participation: Passing Mathematics 1,2 & 3, as well as Physics and Engineering Design 1 & 2 is recommended.





12 Responsible course lecturer: Prof. for Dynamics


25

Basics of automation and manufacturing theory


Work load 150 h


Duration 1 Semester

1 Course:

Basics of automation and manufacturing theory

Lecture 2 h/week Exercise (incl. Laboratory) 2 h/week

Self-study

90 h

Credit points

5 ECTS

2 Teaching method: Lecture and exercise

3 Group size: All enrolled student of the semester and major.

4 Learning outcomes / Skills: This lecture provides basic knowledge of industrial automation technology. A main focus lies on programmable logic controllers. Furthermore, this course provides a comprehensive overview of modern manufacturing technologies in mechanical engineering. The aim of the module is to show students current trends and developments in innovative technologies as well as their potential and possible applications. The students are able to describe current developments and trends in the automation technology as well as to explain development processes for automated technical systems and to use the relevant development method. Furthermore, they are able to assess the functional principle and the hardware construction of a programmable logic controller (PLC) application-oriented, work on automation tasks with a methodical approach and to choose and evaluate suitable position sensors, drive and fieldbus systems critical for the use in different automation tasks. They are also able to assess security risks in the automation technology. Furthermore, students are able to recognize and formulate current requirements for modern production systems. They understand processes and potentials of different generative manufacturing processes and their possible applications as rapid technologies. You can derive fundamental engineering-scientific connections for forming and gain knowledge about different sheet metal / solid forming processes as well as innovative further developments of already established forming technologies. Students are capable of characterizing the machining process from an engineering perspective and of defining challenges in the development of new machining tools and technologies. Furthermore, they can present potentials and application possibilities of different production and assembly systems and recognize specific requirements. Students will be able to explain the relationships between the approaches of quality assurance in production and Total Quality Management (TQM). Furthermore, the participants are able to critically evaluate various measuring equipment for quality assurance in production.

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5 Content:

After a basic historic overview of the development of automation technology, main development methods and notations for automation tasks are presented. The main focus of this lecture lies on programmable logic controllers (PLC), considering its hardware construction. Thereby the signal processing of the sensor signals and the processing inside the controlling algorithm is as important as the output of the commands to the actuators. The PLC-programming is deepened in laboratory exercises. The implementation of computers for industrial automation and for decentralised signal detection and output is shown exemplary. The basic functionality of numeric controlling and robot control systems are presented with its corresponding position sensors and drives. The lecture ends with an introduction to the EU-machinery directive, which deals with security risks of automated machines and plants. In addition, requirements for modern production systems are defined in the course. This shows that innovations are necessary not only in the product but also in the manufacturing processes in order to survive successfully in competition. The course therefore provides a comprehensive overview of both established and innovative manufacturing processes and current trends in manufacturing. In particular, generative manufacturing technologies (original forming processes), different solid and sheet metal forming processes, separating manufacturing processes (machining with geometrically determined cutting edge, spark erosion, water and laser cutting) are described in detail. In addition to engineering aspects of these manufacturing processes, the course also includes lectures on manufacturing and assembly systems as well as on quality assurance in manufacturing. Lectures by guest speakers from industry and research will show practical examples of application and thus complement the course. Exercises serve the further deepening of the read subject matter. Excursions offer illustrative possibilities for demonstrating the treated manufacturing processes.







12 Responsible course lecturer: Prof. for Manufacturing Technology/Machine Processes


27

Technical Logistics


Work load 180 h


Duration 1 Semester

1 Course:

Technical Logistics


Self-study

8 h/week

Credit points

6 ECTS

2 Teaching method: Lectures, Tutorials

3 Group size: All enrolled students of the semester and major. 4 Learning outcomes / Skills:

The students obtain a holistic perception on logistical processes in the technical industry. Furthermore, the students gain knowledge about modelling logistical systems, as well as about material, informational and monetary flows. General concepts and basic structures for classification of terms, objects and processes are covered. The students are learning techniques for qualitative and quantitative description of logistic systems, processes and flows. Additionally, the lecture makes usage of modelling concepts for specific conditions and situations in reality. Mainly, the students acquire the ability for classification and evaluation of complex logistical processes, as well as the competence for abstraction of real processes and for recognition of standard processes and reference solutions. The acquisition of techniques for modular analysation, structuring, modelling and evaluation of processes is a main topic of the lecture. Methods for quantitative description of material flows and for concepts of measuring points and logistical control loops for process organization are used actively.

5 Content:

Definition and classification: services, added value

Basic models: graph, system process, condition model, control loop

Models for material flow: process (flow) description, behavioural models

Logistical (flow) objects: information, goods

Creation of logistic compatible goods: handling and packaging of goods, loading units, labelling

Transportation and handling: basic methods, transportation chains

Transportation of goods: carrier and process organization

Collection and distribution: Waste- and Distribution logistics; postal, courier, express and package services

Storage: basic methods, processes in distribution warehouses

Kitting: basic methods

Logistics in producing organizations




9 Requirements for receiving credit points: Advances for exam, passing the exam



12 Responsible course lecturer: Prof. Zadek


28

Basics of Finite Element Method


Work load 180 h


Duration 1 Semester

1 Course:

Basics of Finite Element Method Lecture 2 h/week Exercise 2 h/week

Self-study

8 h/week

Credit points

6 ECTS

2 Teaching method: Lectures, tutorials, practical course

3 Group size:

4 Learning outcomes / Skills: The participants will gain experience in the use of computational methods for solving complex differential equations systems, which are essential in engineering problems.

As one special method the finite element method (FEM) will be introduced, that is an effective tool for solving problems in structure and solid mechanics. The students will be taught in the proceeding of assembling the structure problem, its discretization and solving within the FEM.

The students experience the exposure to finite element software.

5 Content:


Introduction into mathematical modelling

Computational methods for solving differential equation systems

Introduction into variational and energy methods

Introduction into the finite element method (FEM) for 1D problems (truss and beam formulations)

Basic idea of the structure and use of finite element software


7 Requirement for participation: Successful participation of the foundation year, passing Mechanics A and B is recommended.


9 Requirements for receiving credit points: Written exam, 90 minutes



12 Responsible course lecturer: Jun.-Prof. Dr.-Ing. Daniel Juhre


29

Mechanics C


Work load 180 h


Duration 1 Semester

1 Course:

Mechanics C


Self-study

8 h/week

Credit points

6 ECTS


3 Group size: All enrolled students of the semester an major

4 Learning outcomes / Skills: The students are able to describe mathematically the position, strain and stress state of complex structures (bars, beams, frames, statically indeterminate systems) with use of energy methods of the continuum mechanics. The motion state of particles and spatial bodies due to acting forces and moments can be described mathematically.

5 Content:

In addition to the lectures in Mechanics A and B, the purpose of the lecture is a deeper understanding of some subjects of the mechanics. This includes:

Linear continuum mechanics, stress and strain state, balance equations and elastic material behaviour;

Energy methods of the bending theory incl. the handling of statically indeterminate systems;

Curved beams; shear centre and torsion of prismatic bars;

Stability problems;

Kinetics of rigid bodies;

Transition to other reference systems;

Spatial motion of rigid bodies incl. gyroscopic motion;

Elements of the analytical mechanics;

Vibrations with one and two degrees of freedom. The lecture is complemented by numerous applications and examples


7 Requirement for participation: Passing Mechanics A & B is recommended.





12 Responsible course lecturer: Prof. Hackl, Prof. Altenbach


30

Heat and Mass Transfer

Identifier: Required in Energy and Process Engineering

Work load 180 h


Duration 1 Semester

1 Course:

Heat and Mass Transfer


Self-study

8 h/week

Credit points

6 ECTS

2 Teaching method: Lecture

3 Group size:

4 Learning outcomes / Skills: The students should learn to know and/or understand the phenomena of heat and mass transfer which are based on the fundamentals of thermo- and fluid dynamics. They should acquire the ability to use the mathematical description of these phenomena independently for the design of processes as well as of machines and apparatuses in the field of process engineering, environmental engineering, power engineering, climate control, material sciences, food engineering etc.

5 Content:

Introduction and Basic Concepts

Heat Conduction Equation

Steady Heat Conduction (Thermal Contact Resistance, Heat Conduction in Plane Walls, Cylinders and Spheres, Heat Transfer from Finned Surfaces)

Transient Heat Conduction (Lumped System, Semi Infinite Solids, Contact Temperature, Biot Number)

Convection (External Forced Convection, Natural Convection, Internal Forced Convection)

Boiling and Condensation (Pool Boiling, Boiling Heat Transfer, Nusselt`s Condensation)

Fundamentals of Radiation (Thermal Radiation, View Factors, Net Radiation Concept)

Mass Transfer (Analogy between Heat and Mass Transfer, Mass Diffusion, Steady Mass Diffusion, Equimolar Counterdiffusion, Stefan Flow, Transient Mass Transfer, Mass Convection)

6 Type of Course: Compulsory course in B.Sc. Mechanical Engineering, Major Energy and Process Engineering

7 Requirement for participation: Successful participation of the foundation year.





12 Responsible course lecturer: Prof. Kilzer

13 Additional information: Lecture will be predominantly based on Incropera`s book “Fundamentals of Heat and Mass Transfer”. This course is taught as a block seminar.

31

Basics of Fluid Machinery


Work load 180 h


Duration 1 Semester

1 Course:

Basics of Fluid Machinery


Self-study

120 h

Credit points

6 ECTS


3 Group size:

4 Learning outcomes / Skills: Construction and mode of operation, quantification of the energy expenditure and characteristics are topics, to rate fluid machinery. Based on the fundamental lectures Thermodynamics and Fluid Mechanics, the lecture Basic of Fluid Machinery applies the fundamentals generally to turbo machines. Students are assessing operating behaviour and suitability of turbo and piston machines from the user’s view in industrial plants and are confronted with typical problems and their solutions in turbo machines.

5 Content:

The term fluid machinery sums up turbo and piston machines, because in both types of machines there

are energy exchange processes between a fluid and the elements of a machine. After a short overview of the different types and operating principles the lecture concentrates on dynamic working machines (turbo

machines). Firstly, the basic requirements for these machines and the co-operation between machines and plants are

deduced. Focus lies on energy expenditure in the impeller and the step of fluid power engines. The 1-dimensional theory of streamlines is applied on a single step as well as on a whole multistage turbo machine. The operation behaviour is described through characteristics, characteristic curves and diagrams.


7 Requirement for participation: Passing Thermodynamics and Fluid Mechanics is recommended.





12 Responsible course lecturer: Prof. for Fluid Mechanics and Fluid Machinery


32

Fundamentals of Chemical Engineering


Work load 180 h


Duration 1 Semester

1 Course:

Fundamentals of Chemical Engineering Lecture 2 h/week Exercise 2 h/week

Self-study

8 h/week

Credit points

6 ECTS


3 Group size: All enrolled students of the semester and major.

4 Learning outcomes / Skills: Determination between several types of reactors and make up the balance of mass and heat transfer are the aims of the learning outcomes of the students. The identification of the unite operations in a process and the estimation of operating costs are knowledge of the students therefore. All physical specifications are important for the dimensioning of apparatuses and processes.

5 Content:

The lecture comprised all fundamentals of unite operations with reactions and separations steps in a process. The different reactors are the core of any technical process thereby.

Kinetics, thermodynamics, chemical reactions, mass and heat transfer, and all fundamentals of chemical engineering are the contents of lecture.

Condensation, rectification, absorption, adsorption, extraction and vaporization are the contents of course also. Estimation of reactive conversion, chemical yields and selectivity are important.

The types of reactors such as continuous stirred-tank reactor and pipe of stream put forward.







12 Responsible course lecturer: Prof. Grünewald


33

Apparatus Engineering


Work load 180 h


Duration 1 Semester

1 Course:



Self-study

8 h/week

Credit points

6 ECTS


3 Group size:

4 Learning outcomes / Skills: The participants have advanced knowledge in apparatus engineering. They are capable of performing the mathematical determination of container wall thicknesses, flange thickness, etc. for apparatuses under elevated pressures and temperatures. The participants have a basic understanding of the major types of apparatuses for conditioning of raw materials and material flows. The participants will be able to calculate micronisation processes of liquid and gas flows in drops and bubbles. The participants know the most important theoretical basics of transportation and dosing of liquids, gases and solids and can use them for the dimensioning of systems. The participants are able to apply the basics of heat transfer to the calculation and dimensioning of heat exchangers. The participants are familiar with the rules of the German AD-Merkblätter and the VDI-Wärmeatlas and are capable to apply them. On this basis, they can model and solve engineering problems. The participants are able to read technical drawings, they can understand them and can discuss problems. The participants are able to select and to dimension appropriate equipment for the desired application. The participants are able to use their results for the design and construction of application suitable structures and solutions. They can also transfer their knowledge to other technical problems. The participants have the ability to cross-linked and critical thinking. The students have acquired advanced, interdisciplinary skills and can apply them.

5 Content:

Apparatuses are components for performing unit operations in chemistry and energy plants. A fundamental task of the plant construction is the calculation of stresses in materials at high pressures and temperatures. The dimensioning of pressure vessels is based on the calculation rules of the German Arbeitsgemeinschaft Druckbehälter. The internal structure and the function of different types of apparatuses for processing steps such as mixing, dispersing, homogenising, centrifugation, fractionation, etc. are described. Herein, the fractionation of liquid and gas streams plays a major role. Basics in calculation of heat exchangers and the introduction of components such as pumps and compressors complete the lecture. With regard to fault-free, maintenance-free operation, it is important to know basic rules of construction and to follow them in the design of the apparatus or the whole plant. This is also part of the lecture.





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12 Responsible course lecturer: Prof. Dr.-Ing. Marcus Petermann, Dr.-Ing. Stefan Pollak


35

Renewable Energies: Materials, Components, Function


Work load 150 h


Duration 1 Semester

1 Course:



Self-study

6 h/week

Credit points

5 ECTS

2 Teaching method: Lecture, seminar, practical course

3 Group size:

4 Learning outcomes / Skills: The participants will have basic knowledge of energy statistics (need, consumption, availability, distribution), fundamentals and definitions, chemical and physical knowledge of the working principles of renewable energy conversion components, knowledge of technical limits and economical importance of selected systems and future renewable energy networks.

5 Content:


statistics in energy consumption

types of renewable energy resources

terms and definitions related to energy

conversion (devices and materials thereof, processes): photovoltaics, solar thermal, wind, water, fuel cells, geothermal, biomass, solar chemistry

dimensioning examples will be given in the seminar

a practical course is related to solar thermal concentration







12 Responsible course lecturer: Prof. Dr. Michael Scheffler


36

Industrial Management


Work load 150 h


Duration 1 Semester

1 Course:



Self-study

105 h

Credit points

5 ECTS

2 Teaching method: Lecture and seminar

3 Group size: Lecture and seminar: all registered students of appropriate semester.

4 Learning outcomes / Skills: The students are able to:

a) characterise various forms of business organisation and to distinguish them with respect to

requirements to people, technology and organisation. The Students are learning how to describe work

preparation including work scheduling and control. Furthermore, comprehension of the tasks of

production system design and production logistics are created. The importance of IT-based production

planning and control are imparted, as well. Apart from this the principles and methods of the Toyota

production system are taught.

b) characterise various aspects of the institutional management and to differentiate them regarding to topics of management, management levels and management functions. Types of structural management are described, exemplary applied to structures of enterprises, project structures and organisation development. Additionally, the students are learning basics of personalised management using the example of management tools, management techniques and management styles, referring this to the own position in the management structure.

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5 Content:

a) Introductory, the lecture deals with the tasks of engineers in companies, corporate objectives and

potentials for the realisation of these objectives from the view of technical production. As an example,

automotive industry is used.

Concerning work preparation, the focus lies on necessary tasks, organisational integration and necessary

documents for work planning and control. Working plans and time management, as well as methods to

calculate planned times are presented. Subsequently, the lecture deals with business organisation,

referring to organisational and process organisation and different existing business typologies, as well as

advantages/disadvantages of process-oriented organisation. In this context the ARIS business process

modelling is presented. Considering production system design, the lecture covers primarily the formation

of part families, production principles, manufacturing and mounting concepts and its modelling with focus

on tools of the digital factory. The topic of logistical and characteristic curves discusses the conflict of

objectives between inventory minimisation, capacity utilisation and lead time and gives mathematical

approaches for possible solutions. The structure and the specific tasks of production planning and

production control are described exemplary on the PPS-model of Aachen and different product structures

and scheduling methods are explained. Finally, the motivation and different methods of the Toyota

production system are explained.

b) At first, basics of management defines the terms management, management levels, management functions, as well as personalised and fact-based management. The lecture is embedded in an international, descriptive model concerning business management. The topic of process related management deals with objective targeting and planning. Furthermore, aspects of strategic planning and relating techniques are imparted. With regard to structural management, normative management systems are presented. Definitions and theories relating to management and group behaviour are explained. Evaluation methods used for determination and interpretation of customer and employee satisfaction are discussed. Seminars dealing with specific case studies deepen the students theoretically obtained knowledge.

6 Type of Course: Compulsory non-technical application course in B.Sc. Mechanical Engineering






12 Responsible course lecturer: Prof. for Business Administration and Project Management


38

Quality Management


Work load 150 h


Duration 1 Semester

1 Course:



Self-study

6 h/week

Credit points

5 ECTS

2 Teaching method: Lecture, seminar, practical course

3 Group size:

4 Learning outcomes / Skills: The students will be able to evaluate the quality of products and processes with focus on Mechanical Engineering applications. Furthermore the students will acquire a basic knowledge about common methods used in quality management and will understand, how quality management systems are organized

5 Content:


Quality, Quality Management – Overview and learning objectives

Methods of quality management

General structures of quality management systems

Quality and product safety .

6 Type of Course: Compulsory non-technical application course in B.Sc. Mechanical Engineering






12 Responsible course lecturer: Prof. for Business Administration and Project Management


module handbook b.sc. mechanical engineering

Documents