Simulation of Thermofluids with Open Source Tools
Module MW1277
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 SS 2012 (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 | |
|---|---|
| SS 2012 | WS 2011/2 |
Basic Information
MW1277 is a semester module in English language at Bachelor’s level and Master’s level which is offered every semester.
This Module is included in the following catalogues within the study programs in physics.
- Further Modules from Other Disciplines
| Total workload | Contact hours | Credits (ECTS) |
|---|---|---|
| 120 h | 45 h | 4 CP |
Content, Learning Outcome and Preconditions
Content
Nowadays the use of open source software is increasing, because it fulfills performance and quality requirements of academia and industry at lower costs than commercial solutions. For computational (thermo-)fluid dynamics (CFD) very popular open source software package is OpenFOAM®. This package is based on object-oriented programming language, C++, allowing a great flexibility and extensibility of the code that ease its adaptation to a wide range of problems. However, the freedom and the flexibility have a cost: learning the tool is challenging. Consequently, the main objective of the course is to guide the participants towards using and customizing OpenFOAM® with the motto “learning by doing”.
The class is divided into 9 sessions/weeks.
(1) Introduction to Linux and OpenFOAM®.
After a short review of the Linux tools needed to interact with OpenFOAM®, the way to express a CFD problem will be reviewed. Then a first case will be run and post-processed.
(2) Heat transfer in a plate.
The structure of a solver for heat transfer in solid material will be presented. This solver will be applied to a 2D planar configuration.
(3) Heat transfer in a cooler.
The previous solver will be modified to analyze a defective cooler.
(4) Channel pipe flow.
This case will be the first fluid dynamics problem studied. A laminar flow in a pipe will be simulated.
(5) Locally heated channel pipe flow.
The elements of the two previous exercises will be combined to create a new solver for a thermo-fluids problem at low Reynolds number.
(6) RANS solver for turbulent flows.
Different models for the turbulence will be applied to a backward step configuration.
(7) Combustion.
The different approaches to simulate a reacting flow in OpenFOAM® will be introduced.
(8) Multiphase flow solver.
The volume of fluid method (VoF) will be introduced as a solution to solve two incompressible, isothermal immiscible fluids. As those configurations require lots of resources, the case will be solved in parallel (i.e. using more than 1 processor) on our cluster. In addition the creation of a new boundary conditions will be introduced.
(9) Lagrangian solver.
The usual way to solve continuous fields (e.g. pressure or energy) is to use an Eulerian approach. But for the discrete phases (e.g. a spray of fuel in gas) the Lagrangian approach is more interesting. In this chapter, a Langragian solver of OpenFOAM® will be presented. A new model for the injection of the particles will be implemented and applied to the test case.
Students have the opportunity to attend a Teamworkshop and a Presentation coaching session in small groups provided by ZSK (Zentrum für Schlüsselkompetenzen).
The class is divided into 9 sessions/weeks.
(1) Introduction to Linux and OpenFOAM®.
After a short review of the Linux tools needed to interact with OpenFOAM®, the way to express a CFD problem will be reviewed. Then a first case will be run and post-processed.
(2) Heat transfer in a plate.
The structure of a solver for heat transfer in solid material will be presented. This solver will be applied to a 2D planar configuration.
(3) Heat transfer in a cooler.
The previous solver will be modified to analyze a defective cooler.
(4) Channel pipe flow.
This case will be the first fluid dynamics problem studied. A laminar flow in a pipe will be simulated.
(5) Locally heated channel pipe flow.
The elements of the two previous exercises will be combined to create a new solver for a thermo-fluids problem at low Reynolds number.
(6) RANS solver for turbulent flows.
Different models for the turbulence will be applied to a backward step configuration.
(7) Combustion.
The different approaches to simulate a reacting flow in OpenFOAM® will be introduced.
(8) Multiphase flow solver.
The volume of fluid method (VoF) will be introduced as a solution to solve two incompressible, isothermal immiscible fluids. As those configurations require lots of resources, the case will be solved in parallel (i.e. using more than 1 processor) on our cluster. In addition the creation of a new boundary conditions will be introduced.
(9) Lagrangian solver.
The usual way to solve continuous fields (e.g. pressure or energy) is to use an Eulerian approach. But for the discrete phases (e.g. a spray of fuel in gas) the Lagrangian approach is more interesting. In this chapter, a Langragian solver of OpenFOAM® will be presented. A new model for the injection of the particles will be implemented and applied to the test case.
Students have the opportunity to attend a Teamworkshop and a Presentation coaching session in small groups provided by ZSK (Zentrum für Schlüsselkompetenzen).
Learning Outcome
Upon completion of the course, students are able to:
- Solve a wide range of CFD problems using OpenFOAM® (heat transfer, incompressible/compressible flows, turbulent flows, multiphase flows, combustion, dispersed flows).
- Use ParaView to visualize the results from OpenFOAM®.
- Understand the code structure of OpenFOAM® and know the procedures to compile solvers and utilities.
- Identify the proper solver for a specific CFD case.
- Methodologically set up a wide variety of CFD cases.
- Critically assess their own simulation results.
- Create particular solvers and utilities in OpenFOAM®.
- Solve a wide range of CFD problems using OpenFOAM® (heat transfer, incompressible/compressible flows, turbulent flows, multiphase flows, combustion, dispersed flows).
- Use ParaView to visualize the results from OpenFOAM®.
- Understand the code structure of OpenFOAM® and know the procedures to compile solvers and utilities.
- Identify the proper solver for a specific CFD case.
- Methodologically set up a wide variety of CFD cases.
- Critically assess their own simulation results.
- Create particular solvers and utilities in OpenFOAM®.
Preconditions
Basic numerics, turbulent flows, fluid mechanics, heat transfer, combustion, multiphase flow, programming language (preferable C++), Linux-based OS
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
SS 2023
WS 2022/3
SS 2022
WS 2021/2
SS 2021
WS 2020/1
SS 2020
WS 2019/20
SS 2019
WS 2018/9
SS 2018
WS 2017/8
SS 2017
WS 2016/7
SS 2016
WS 2015/6
SS 2015
WS 2014/5
SS 2014
WS 2013/4
SS 2013
WS 2012/3
| Type | SWS | Title | Lecturer(s) | Dates | Links |
|---|---|---|---|---|---|
| PR | 4 | Simulation of Thermofluids with Open Source Tools |
Eder, A.
Responsible/Coordination: Polifke, W. |
Wed, 11:15–12:15, MW 1701 Wed, 12:15–16:15, MW 0704 |
eLearning documents |
Learning and Teaching Methods
no info
Media
Presentations, exercise script
Literature
Polifke und Kopitz, Wärmetransport, 2.Auflage, Pearson-Verlag, 2009; Incropera et al., Heat and Mass Transfer, 6.Auflage, John Wiley & Sons, 2007; Press et al. Numerical Recipes 3rd Edition;