last modified 23/09/2004

Coursecode: wb1428
Coursename: Computational Fluid Dynamics

ECTS creditpoints: 3

Faculty of Mechanical Engineering and Marine Technology

Lecturer(s): Pourquie, dr.ir. M.J.B.M.

Tel.: 015-27 87979 / 82997

Catalog data:
finite volume method, convection-diffusion equation, stability of schemes, conservation laws for flow problems,steady flow, time-dependent flow, turbulence models, turbulent flow, boundary conditions.

Courseyear: MSc 1st year
Semester: 2A / 2B
Hours p/w: 2
Other hours: 1
Assessment: thesis
Assessm.period(s):
(see academic calendar)

Prerequisites: wb1321, wi2021tu

Follow up:  

Detailed description of topics:

  • Introduction, the finite volume method for diffusion problems.

  • The finite volume method for convection-diffusion problems.

  • Introduction to practical exercises.

  • Stability of discretization schemes for the convection-diffusion equation.

  • Conservation laws for flowing media and boundary conditions.

  • Simulation of steady flows. Introduction to practical exercise.

  • Methods for the solution of discretized equations.

  • Simulation of time-dependent flows. Introduction to practical exercise.

  • Turbulence and turbulence models.

  • Implementation of boundary conditions.

  • Introduction to practical exercise for turbulent flow.

Course material:
J.H. Ferziger and M. Peric, Computational methods for Fluid Dynamics, Springer Verlag.

References from literature:

  • C. Hirsch, Numerical computation of internal and external flows, Volume I Fundamentals of numerical discretization, Volume II Computational methods for inviscid and viscous flows, Chicester, Wiley & Sons, 1988, 1990

  • C.A.J. Fletcher, Computational techniques for Fluid Dynamics, Volume I Fundamental and general techniques, Volume II Specific techniques for different flow categories, Berlin, Springer, 2-nd ed. 1991.

Remarks (specific information about assesment, entry requirements, etc.):

Goals:
The course is aimed at a critical attitude towards the reliability of numerical simulations; simple problems and analysis techniques are used.

Computer use:
Practical exercises with simple examples in order to check convergence, stability, choice of step-length.

Laboratory project(s):
Practical exercises with a commercial code (FLUENT).

Design content:
The design of a correct discretization is part of the practical work.

Percentage of design: 25 %