Computational fluid dynamics (CFD) has become an essential tool in analysis and design of thermal and fluid flow systems in wide range of industries. Few prominent areas of applications of CFD include meteorology, transport systems (aerospace, automobile, highspeed trains), energy systems, environment, electronics, bio-medical (design of lifesupport and drug delivery systems), etc.
The correct use of CFD as a design analysis or diagnostic tool requires a thorough understanding of underlying physics, mathematical modeling and numerical techniques. The user must be fully aware of the properties and limitations of the numerical techniques incorporated in CFD software. This course aims to provide precisely these insights of CFD.
Contents: Mathematical modeling: Governing equations of fluid flow and heat transfer; Introduction to discretization methods: Finite difference and finite volume methods for heat transfer problems; Time stepping methods for unsteady problems; Solution techniques for system of algebraic equations; Grid generation techniques; Solution techniques for Navier-Stokes equation; Finite element method for heat transfer and fluid flow problems; Turbulence modeling.
Sl. No
Topic
Hours
1.
Introduction: Conservation equation; mass; momentum and energy
equations; convective forms of the equations and general description.
3
2.
Classification and Overview of Numerical Methods: Classification into
various types of equation; parabolic elliptic and hyperbolic; boundary
and initial conditions; over view of numerical methods.
4
3.
Finite Difference Technique: Finite difference methods; different means
for formulating finite difference equation; Taylor series expansion,
integration over element, local function method; treatment of boundary
conditions; boundary layer treatment; variable property; interface and
free surface treatment; accuracy of f.d. method.
3
4.
Finite Volume Technique: Finite volume methods; different types of finite
volume grids; approximation of surface and volume integrals;
interpolation methods; central, upwind and hybrid formulations and
comparison for convection-diffusion problem.
4
5.
Finite Element Methods: Finite element methods; Rayleigh-Ritz, Galerkin
and Least square methods; interpolation functions; one and two
dimensional elements; applications.
4
6.
Methods of Solution: Solution of finite difference equations; iterative
methods; matrix inversion methods; ADI method; operator splitting; fast
Fourier transform.
4
7.
Time integration Methods: Single and multilevel methods; predictorcorrector
methods; stability analysis; Applications to transient
conduction and advection-diffusion problems.
Navier-Stokes Equations: Explicit and implicit methods; SIMPLE type
methods; fractional step methods.
4
10.
Turbulence modeling: Reynolds averaged Navier-Stokes equations, RANS
modeling, DNS and LES.
4
Fluid Mechanics.
Ferziger, J. H. and Peric, M. (2003). Computational Methods for Fluid Dynamics. Third
Edition, Springer-Verlag, Berlin.
Versteeg, H. K. and Malalasekara, W. (2008). Introduction to Computational Fluid
Dynamics: The Finite Volume Method. Second Edition (Indian Reprint) Pearson
Education.
Anderson, D.A., Tannehill, J.C. and Pletcher, R.H. (1997). Computational Fluid
Mechanics and Heat Transfer. Taylor & Francis.
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