Course detail

CFD Modelling I

FSI-K10Acad. year: 2017/2018

The course provides basic knowledge base for future users of Computational Fluid Dynamics (CFD) software tools. Students will get acquainted with the basics of fluid dynamics and methods used in software tools for numerical simulation of fluid flows. Within a semestrial project students will acquire basic skills in the work with computational software ANSYS Fluent (namely creation of geometry, meshing, solving and postprocessing of results).

Language of instruction

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

doc. Ing. Jiří Hájek, Ph.D.

Department

Institute of Process Engineering (ÚPI)

Learning outcomes of the course unit

The students will get acquainted with the basics of modelling fluid flows and with numerical solution of governing equations. They will acquire basic skills in the work with computational software (ANSYS Fluent).

Prerequisites

Knowledge of mathematics, physics and thermomechanics from the bachelor study program is assumed.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught through exercises which are focused on practical topics presented in lectures.

Assesment methods and criteria linked to learning outcomes

Course-unit credit will be granted upon successful completion of a technical report about the solution of a specific computational problem, which shall be carried out using a free student software version. The report must contain description of the solved problem, overview of the employed methods and solution steps including the settings of boundary conditions, as well as summary and analysis of results in both graphical and alphanumeric form.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Objective of the course is to prepare students for an efficient work with fluid flow modelling software.

Specification of controlled education, way of implementation and compensation for absences

Course-unit credits may be granted only to students who have regularly participated at the lessons. (Regular participation means presence in at least 10 out of total 13 lessons.)

Recommended optional programme components

Improvement of proficiency in English language, namely the ability to understand written text.

Prerequisites and corequisites

Not applicable.

Basic literature

Anderson J.D. Computational Fluid Dynamics: The Basics with Applications. McGraw Hill, 1995
Patankar S.V. Numerical Heat Transfer and Fluid Flow. Hemisphere Publishing Corporation, 1980
Versteeg, H.K., and Malalasekera, W. An introduction to computational fluid dynamics: The finite volume method. Longman Group Ltd., 1995

Recommended reading

J. Warnatz, U. Maas, and R. W. Dibble, Combustion: physical and chemical fundamentals, modeling and simulation, experiments, pollutant formation, 4th ed. Berlin; Heidelberg: Springer, 2006. (EN)
M. F. Modest, Radiative Heat Transfer. New York: McGraw-Hill, 1993.
V. Uruba, ‘Turbulence’, ČVUT v Praze, Fakulta strojní, 2014 (CS)

Classification of course in study plans

  • Programme M2I-P Master's

    branch M-PRI , 1 year of study, summer semester, compulsory-optional
    branch M-PRI , 1 year of study, summer semester, compulsory-optional

Type of course unit

 

Computer-assisted exercise

39 hod., compulsory

Teacher / Lecturer

doc. Ing. Jiří Hájek, Ph.D.

Syllabus

1. week: Course introduction, practical case studies
2. week: Mass conservation law in fluids
3. week: 2. Newton law in fluids
4. week: Energy conservation law in fluids
5. week: Species transport in fluids
6. week: Properties of governing equations and connection with flow types
7. week: Physical behaviour of various fluid flows, boundary and initial conditions
8. week: Turbulence and its modelling – what is turbulence, impact on governing equations
9. week: Overview of turbulent flow models, introduction to Finite Volume Method (FVM)
10. week: Application of FVM to heat conduction
11. week: Application of FVM to species transport by convection and diffusion
12. week: Basic discretization schemes and their properties
13. week: Solution algorithms for the system of governing equations