htw saar Piktogramm QR-encoded URL
Back to Main Page Choose Module Version:
XML-Code

flag flag

Computational Fluid Dynamics (CFD)

Module name (EN):
Name of module in study programme. It should be precise and clear.
Computational Fluid Dynamics (CFD)
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Engineering and Management, Master, ASPO 01.10.2013
Module code: MAM.2.1.2.28
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P450-0105, P610-0458
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
2V+2U (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
6
Semester: according to optional course list
Mandatory course: no
Language of instruction:
German
Assessment:
Written or oral exam

[updated 18.12.2018]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

MAM.2.1.2.28 (P450-0105, P610-0458) Engineering and Management, Master, ASPO 01.10.2013 , optional course, specialisation
WIMAScWPF-Ing12 (P450-0105) Industrial Engineering, Master, ASPO 01.10.2014 , semester 3, optional course, general subject

Suitable for exchange students (learning agreement)
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 180 hours (equivalent to 6 ECTS credits).
There are therefore 135 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Frank Ulrich Rückert
Lecturer: Prof. Dr. Frank Ulrich Rückert

[updated 23.04.2018]
Learning outcomes:
COMPUTATIONAL FLUID DYNAMICS
============================
Computational Fluid Dynamics (CFD) is used to develop, e.g. wind mills, airplanes or ships. Mastery of the English language is necessary for managing engineering projects in cooperation with different international partners.
 
ENGLISH LANGUAGE
================
Students will have the opportunity to practice working in business projects. All lessons will be held in English.
 
AFTER SUCCESSFULLY COMPLETING THIS MODULE, STUDENTS WILL:
===========
    - be familiar with the basics of classic fluid dynamics and can independently solve problems related to fluid dynamics
    - have learned how to work on technical problems involving for example, airplanes, wing profiles, windmills and water channels
    - have learned the basics of the commercial computational fluid dynamics (CFD) code ANSYS Workbench (CFX) and the open-source CFD code OpenFOAM. This includes creating geometries, problem setup, as well as using numerical simulation
    - be able to estimate the costs and benefits of fluid flow simulations and can present further results

[updated 18.12.2018]
Module content:
Content:
========
Introduction to computational fluid dynamics (CFD)
 _ Why open-source? Why commercial products?
 - Teams will be formed to develop an airplane
 - Crash course on ANSYS Workbench (CFX) and openFOAM
 
Computational fluid dynamics and theory:
 - generating numerical meshes for industrial cases
  
The basic conservation equations
 - conservation of mass
 - conservation of momentum
 - two equation turbulence models
 - conservation of energy
  
Discretization and numerical simulation
 - philosophy and aim of computational fluid dynamics (CFD)
 - What do pre-processing, solving and post-processing mean?
 - parametric geometry and mesh types
 - numerical simulation of flow problems
 - visualization of fluid flow problems with post-processing
 - validation of experimental results against simulation
 
Turbulence and numerical diffusion

[updated 18.12.2018]
Teaching methods/Media:
Methods and media:
 - theory lessons by the teacher
 - guided computer exercises with ANSYS Workbench (CFX) and OpenFOAM
 - setup of simulation problems and presentation of results in front of audience

[updated 18.12.2018]
Recommended or required reading:
 - Cengel, Yunus A.; Cimbala, John M.: "Fluid Mechanics Fundamentals and Applications"; Mc Graw Hill; Higher Education; 2010
 - Peric, M., Ferziger, J. H.: "Computational Methods for Fluid Dynamics"; Springer-Verlag; 2004
 - Rückert, Frank U.: "A short introduction to CFD" (english language); htw saar; 2017

[updated 18.12.2018]
 
[Thu Nov 21 15:09:41 CET 2024, CKEY=wcfdx, BKEY=mm, CID=MAM.2.1.2.28, LANGUAGE=en, DATE=21.11.2024]