Computational Thermo-Fluid Dynamics

MW2134Lab Courses4 ECTSEnglishWintersemester/SommersemesterProfessur für Thermofluiddynamik (Prof. Polifke)

AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You gain an overview of numerical methods for solving heat and thermofluid dynamics problems and learn good programming practices in Matlab. By the end of the course you will be able to analyze physical and mathematical properties of the relevant partial differential equations and to implement appropriate numerical algorithms to solve typical heat transfer problems.

What you will be able to do

Understanding the structure of PDEs of heat transfer
Analyzing physical, mathematical and numerical properties of heat problems
Implementation of numerical procedures in Matlab
Applying finite-difference, finite-volume and finite-element methods
Using iterative solvers (Gauss-Seidel, SOR) for large linear systems
Handling transient problems (explicit/implicit schemes, Runge-Kutta, CFL)
Utilizing Green's functions and numerical integration
Solving nonlinear systems (Newton-Raphson) and carrying out simple optimization tasks

What the module consists of

Praktische Sitzungen im RechnerraumProgramming Matlab algorithms in pairs to solve given tasks
Kurze Vorlesungen zu SitzungsbeginnIntroduction of physical phenomena and the numerical algorithms to be used
EinzelprojekteIndividual project work in the last third of the semester
Optionale WorkshopsTeam workshop and presentation coaching (offered by the ZSK)

Teaching method

Team- and individual workpractical implementation and deepening of the contents
Student presentationsCommunication and presentation of one's own results
LecturesIntroduction to physical and numerical fundamentals

What you should already know

Wärme- und Stoffübertragungrecommended
Numerische Methoden für Ingenieure (Computational Mechanics)recommended

Assessment

Written programming tasksProject workPresentation

It is assessed how well you address a thermofluid dynamic problem from physical understanding of the underlying equations and from the implementation of an appropriate numerical algorithm. There are programming tasks in pairs during the sessions as well as an individual project during the semester. (Duration, tools and weighting are not specified in the raw data.)

Reading list

KUZMIN D. - A guide to numerical methods for transport equations
MORTON K. W., AND MAYERS D. F. - Numerical solution of partial differential equations
Cole K. D., Beck J. V., A. Haiji-Sheik, Litkouhi B. - Heat conduction using Green’s functions

Dates

Lab courseComputational Thermo-Fluid Dynamics2 groups to choose from

AFri10:00–11:00
1701, Seminarraum (5507.01.701)
13× · 16.10.–05.02.
- 16.10.
- 23.10.
- 30.10.
- 06.11.
- 13.11.
- 20.11.
- 27.11.
- 04.12.
- 11.12.
- 18.12.
- 22.01.
- 29.01.
- 05.02.
BFri13:00–16:00
0704, Computer Labor (5507.EG.704)
13× · 16.10.–05.02.
- 16.10.
- 23.10.
- 30.10.
- 06.11.
- 13.11.
- 20.11.
- 27.11.
- 04.12.
- 11.12.
- 18.12.
- 22.01.
- 29.01.
- 05.02.

From the current semester, not binding. You attend one of several groups; the timetable automatically suggests the one with the fewest clashes.

Show TUMonline data

Sprache: Englisch
Turnus: Wintersemester/Sommersemester
Modulniveau: Bachelor/Master
Moduldauer: Einsemestrig
Gesamtstunden: 120
Präsenzstunden: 60
Eigenstudiumstunden: 60
Organisationsname: Professur für Thermofluiddynamik (Prof. Polifke)

Courses

Computational Thermo-Fluid Dynamics
Computational Thermo-Fluid Dynamics

Official page in TUMonline · Details are not binding.