Computational Fluid Dynamics
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Follow on Instagram for UpdatesComputational Fluid Dynamics Syllabus — Unit-wise Content
The official GTU curriculum for Computational Fluid Dynamics (subject code ME02000611) as prescribed for M(E · Semester 2 divides the course into 5 units, covering 46 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (ME02000611)Unit 1 Introduction
- CFD as design and research tool
- impact of CFD in Engineering
- governing equations of fluid dynamics: Models flow
- time rate of change (of moving fluid element)
- divergence of velocity and its physical meaning
- momentum and energy equations
- mathematical behavior of partial differential equations
Unit 2 Basic Concept of Discretization
- Introduction to discretization technique
- introduction to finite differences: Taylor’s series expansion
- Program Name: Engineering Level: PG Subject Code : ME02000611 Subject Name: Computational Fluid Dynamics difference equations: explicit and implicit approach
- errors and stability analysis
- CFL condition Grid Transformation: Introduction
- general transformation equations
- matrices and Jacobean
- transformed version of governing equation particularly suited for CFD, compressed grids
- elliptic grid generation
- adaptive grids
Unit 3 Simple CFD Technique
- Lax Wandroff technique
- Mac-Cormack’s technique
- relaxation technique and its use with low speed
- alternating direction implicit technique (ADI)
- pressure correction technique: need for staggered grid and its formula
- boundary condition for pressure correction method
Unit 4 Heat Conduction and Convection
- Conduction: 1D conduction equation
- grid layout discretization
- stability and convergence
- dealing with non-linearity
- methods of solution
- 2D conduction Convection: 1D convection
- exact solution and its discretization
- upwind difference scheme
- comparison of central difference scheme
- upwind difference scheme and exact solution
- numerical false diffusion
- hybrid and power-law schemes
- total variation diminishing scheme
- 2D Convection: Cartesian and complex domain Unsteady conduction and convection
- Stability of the unsteady flow
Unit 5 Finite Volume Method
- Introduction to finite volume method (FVM)
- FVM for diffusion and convection–diffusion problems
- discretization of equation for two-dimension
- false diffusion
- computation of the flow field using stream function and vorticity formulation
- solution procedure for unsteady flow calculations: SIMPLE
- PISO, and MAC algorithms
- Solution algorithms for pressure–velocity coupling in steady flows
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