Simulation Methods in Mechanical Engineering

  Simulation of an airplane wing Manuel Brüderlin

Lecture "Simulation Methods in Mechanical Engineering" is a mandatory course in the fourth semester of Bachelor study program "Mechanical Engineering"

Contact

Stefanie Elgeti

Name

Stefanie Elgeti

Stellv. Institutsleitung

Phone

work
+49 241 80 99922

Email

E-Mail
 

Calendar

Lecture: Monday 8:30am to 10:00am, lecture room AM

Exercise: Monday 10:15am to 12:30pm, lecture room H01

Laboratory: Events to be found in Campus Office

Office hour: TBD

 

Instructors

Lecture: Prof. Marek Behr, Ph.D.

Exercises: Prof. Dr.-Ing. Stefanie Elgeti

Content

The module Simulation Methods will impart fundamental skills for solving simulation problems independently. This includes the construction of mathematical models as well as the application of these models in simulation software. Solutions of simulation problems are going to be discussed with the help of a process scheme, of which each single step is reviewed in detail. The question at hand could be how a technical system can be abstracted and which mathematical equations are representative for it. A sample of commercial simulation tools will be also introduced and discussed from a user's perspective.

The module consists of a lecture and exercises with 3 SWS each, and carries 6 ECTS points.

Topics

  • AVT part:
    • time-continuous state-space concept
    • continuous linear and non-linear systems
    • differential-algebraic systems
    • discrete systems
    • structured, electrical, thermodynamical and mechanical system modeling
    • parameter influence and parameter estimation
  • CATS part:
    • finite differences
    • finite elements
    • finite volumes
    • error analysis

Literature

  1. Bruns, M. (1991). Systemtechnik. Methoden zur interdisziplinären Systementwicklung. Springer. Berlin.
  2. Föllinger, Franke (1982). Einführung in die Zustandsbeschreibung dynamischer Systeme. Oldenbourg Verlag.
  3. Angermann, A., M. Beuschel, M. Rau und U. Wohlfarth (2004). Matlab - Simulink - Stateflow . Oldenbourg Verlag.
  4. Zeigler, B. P., H. Praehofer und T.G. Kim (2000): Theory of Modeling and Simulation , 2nd Edition, Academic Press, San Diego.
  5. Blaß, E. (1997). Entwicklung verfahrenstechnischer Prozesse . Springer. Berlin.
  6. Schmidt, G. (1980). Simulationstechnik. R. Oldenbourg. München.
  7. Fritzson, P. (2004) Object-Oriented Modeling and Simulation with Modelica 2.1 . IEEE Press, Piscataway (USA).
  8. Patzak, G. (1982). Systemtechnik - Planung komplexer innovativer Systeme . Springer. Berlin.
  9. Zeigler, B.P. (1984). Multi-facetted Modeling and Discrete Event Simulation. Academic Press. London.
  10. Quarteroni, A., Saleri, F. (2006). Wissenschaftliches Rechnen mit MATLAB .
  11. Knabner, P., Angermann, L. (2000). Numerik partieller Differentialgleichungen .

Examination

Written exam. Bonus points can be obtained in the laboratory.

 
.
Interpolationsfunktionen
 
.
Lehrvideo FE Assemblierung 2
 
.
Lehrvideo FE Aufbau Systemmatrix
 
.
SchwacheForm