Computational Fluid Dynamics

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COMPUTATIONAL FLUID DYNAMICS 3161915
FREE PDF 3161915
Code: 3161915 Credits: 4 Semester 6 Mechanical Engineering

Computational Fluid Dynamics

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Computational Fluid Dynamics Syllabus — Unit-wise Content

The official GTU curriculum for Computational Fluid Dynamics (subject code 3161915) as prescribed for Mechanical Engineering · Semester 6 divides the course into 7 units, covering 52 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 (3161915)

Unit 1 Introduction to CFD & Principles of Conservation

4 lecture hours

  • What is CFD? Experimental
  • Theoretical and Numerical Approach
  • Historical Background
  • Applications of CFD, Fundamental principles of conservation
  • Reynolds transport theorem
  • Conservation of mass
  • Navier-Stokes equation
  • Conservation of Energy
  • General scalar transport equation

Unit 2 Classification of Partial Differential Equations and Physical Behavior

4 lecture hours

  • Physical Classification: Equilibrium Problems & Marching Problems
  • Mathematical classification of Partial Differential Equation: Elliptic
  • Parabolic and Hyperbolic partial differential equations

Unit 3 Fundamentals of Discretization & Finite Difference Method

10 lecture hours

  • Basics of Discretization (FDM
  • FVM & FEM)
  • Finite Difference: Introduction
  • Finite Difference representation of PDEs
  • Truncation error
  • Round-off error
  • Discretization error
  • Explicit and Implicit Methods
  • Stability analysis
  • TDMA (Tridiagonal matrix algorithm)
  • ADI (Alternative Direction Implicit) method
  • First order Upwind scheme
  • Lax-Wendroff Method
  • Second order Upwind scheme

Unit 4 Finite Volume Method for steady diffusion problems and advection -diffusion problem

12 lecture hours

  • Basic concepts of Finite Volume method (FVM)
  • Finite Volume method for 1-D steady state diffusion type problem
  • Finite Volume method for 2-D steady state diffusion type problem
  • Types of Boundary Conditions
  • Different advection schemes
  • Generalized advection -diffusion formulation
  • Finite volume discretization of two-dimensional advection -diffusion problem
  • The concept of false diffusion

Unit 5 Numerical Solutions of Navier-Stokes Equations

8 lecture hours

  • Discretization of the Momentum Equation
  • Stream Function-Vorticity approach and Primitive variable approach
  • Staggered grid and Collocated grid
  • SIMPLE Algorithm
  • SIMPLER Algorithm
  • SIMPLEC Algorithm
  • PISO Algorithm Subject Code: 3161915 w.e.f

Unit 6 Numerical Grid Generation

4 lecture hours

  • Definition of Grid
  • need for grid
  • Geometric modelling and surface grid
  • Algebraic grid generation
  • Automatic generation of unstructured grid
  • Structured and Unstructured grid
  • Multi Block grid
  • Types of grid element
  • factors affecting the grid

Unit 7 Basics of Turbulence Modeling

  • Introduction to Reynolds Averaged Navier Stokes Modeling
  • One and Two equation models 03 10%

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