CFD-Simulation of Thermal Processes
Module MW0210
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
Module version of WS 2020/1 (current)
There are historic module descriptions of this module. A module description is valid until replaced by a newer one.
Whether the module’s courses are offered during a specific semester is listed in the section Courses, Learning and Teaching Methods and Literature below.
| available module versions | |
|---|---|
| WS 2020/1 | WS 2011/2 |
Basic Information
MW0210 is a semester module in German language at Master’s level which is offered in winter semester.
This Module is included in the following catalogues within the study programs in physics.
- Catalogue of non-physics elective courses
| Total workload | Contact hours | Credits (ECTS) |
|---|---|---|
| 90 h | 30 h | 3 CP |
Content, Learning Outcome and Preconditions
Content
In this module, knowledge in computational fluid dynamics simulation is taught via theoretical and practical methods. The content is divided into three sections:
1. Basics of numerical methods: linear and non-linear algebraic systems of equations; optimization methods; interpolation and approximation; differentiation and integration; ordinary and partial differential equations, difference methods, finite volume methods
2. Numerical fluid mechanics: Equations of fluid mechanics; turbulence modelling; meshing; heat and mass transfer; multiphase and multi-component flows; chemically reacting flows.
3. Computer exercises: geometry construction, meshing, simulation of a thermal process, simulation of multi-component flows (stationary/stationary) etc.
1. Basics of numerical methods: linear and non-linear algebraic systems of equations; optimization methods; interpolation and approximation; differentiation and integration; ordinary and partial differential equations, difference methods, finite volume methods
2. Numerical fluid mechanics: Equations of fluid mechanics; turbulence modelling; meshing; heat and mass transfer; multiphase and multi-component flows; chemically reacting flows.
3. Computer exercises: geometry construction, meshing, simulation of a thermal process, simulation of multi-component flows (stationary/stationary) etc.
Learning Outcome
After participating in the module, students are able to...
- classify and evaluate numerical problems with the acquired knowledge and to recognize and apply the respective solution methods.
- understand specific problems in the field of CFD and to solve/optimize them by setting up a simulation.
- classify and evaluate numerical problems with the acquired knowledge and to recognize and apply the respective solution methods.
- understand specific problems in the field of CFD and to solve/optimize them by setting up a simulation.
Preconditions
Knowledge in higher mathematics (analysis, algebra), basics in fluid mechanics.
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
WS 2022/3
WS 2021/2
WS 2020/1
WS 2019/20
WS 2018/9
WS 2017/8
WS 2015/6
WS 2014/5
WS 2013/4
WS 2012/3
| Type | SWS | Title | Lecturer(s) | Dates | Links |
|---|---|---|---|---|---|
| VO | 2 | Numerical methods for energy systems | de Riese, T. Haimerl, J. Wilhelm, S. |
Thu, 11:15–12:45, MW 3707 and singular or moved dates |
eLearning documents |
Learning and Teaching Methods
The module consists of a series of lectures with media support through a PowerPoint presentation. This gives students a comprehensive overview of numerical methods and their fields of application. The lecture slides are made available to the students. The students will get an insight into modern CFD software that is used in today's research and development through exercises. The practical examples are partly solved by hand or presented live by the lecturer. The computer exercises are instructed by provided handouts and personally supervised. The students learn to gain a deeper understanding of typical engineering tasks in power engineering by CFD simulation of thermal processes. In addition, they learn to recognize and apply numerical problems (in the context of power engineering and thermal processes) and the respective solution methods as well as to understand specific problems in the field of CFD and to solve/optimise them by setting up simulations.
Media
Lecture, presentation (script), handouts, computer exercises
Literature
Moukalled, Mangani, Darwish: The Finite Volume Method in Computational Fluid Dynamics, 2015.
Lomax, Pulliam, Zingg: Fundamentals of Computational Fluid Dynamics, 2001
Oertel, H., Eckhart, L. Numerische Strömungsmechanik, Grundgleichungen, Lösungsmethoden, Softwarebeispiele, 2013.
Anderson, D.A., Tannehill, J.C., Pletcher, R.H. Computational fluidmechanics and heat transfer, 1984.
Hirsch, C., Numerical computation of internal and external flows. Volume 1: Fundamentals of numerical discretization 1992.
Wendt, J.F. (Editor) Computational fluid dynamics. An introduction, 1992.
Lomax, Pulliam, Zingg: Fundamentals of Computational Fluid Dynamics, 2001
Oertel, H., Eckhart, L. Numerische Strömungsmechanik, Grundgleichungen, Lösungsmethoden, Softwarebeispiele, 2013.
Anderson, D.A., Tannehill, J.C., Pletcher, R.H. Computational fluidmechanics and heat transfer, 1984.
Hirsch, C., Numerical computation of internal and external flows. Volume 1: Fundamentals of numerical discretization 1992.
Wendt, J.F. (Editor) Computational fluid dynamics. An introduction, 1992.
Module Exam
Description of exams and course work
In an oral examination (individual examination, oral, about 30 minutes per participant) it is tested whether the students can apply the imparted competences to simple problems. For example, the students should demonstrate that they are able to recognize and apply numerical problems (in the context of energy technology and thermal processes) and the respective solution methods, as well as to understand specific problems in the field of CFD and to solve/optimize them by setting up a simulation.
Auxiliary means are not allowed during the examination.
The final grade consists of the following examination elements:
- 100 % oral final examination
The final grade is composed of the following examination elements:
- 100 % oral final examination
Auxiliary means are not allowed during the examination.
The final grade consists of the following examination elements:
- 100 % oral final examination
The final grade is composed of the following examination elements:
- 100 % oral final examination
Exam Repetition
There is a possibility to take the exam in the following semester.
Current exam dates
Currently TUMonline lists the following exam dates. In addition to the general information above please refer to the current information given during the course.
| Title | |||
|---|---|---|---|
| Time | Location | Info | Registration |
| CFD-Simulation of Thermal Processes | |||
| 3707 |
|||