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Computational Fluid Dynamics

Curriculum

  • 1 Section
  • 47 Lessons
  • 10 Weeks
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  • Computational Fluid Dynamics
    47
    • 2.1
      Motivation for CFD & Introduction to the CFD approach
    • 2.2
      Illustration of the CFD approach through a worked out example
    • 2.3
      Eulerian approach, Conservation Equation, Derivation of Mass Conservation Equation Part 1
    • 2.4
      Eulerian approach, Conservation Equation, Derivation of Mass Conservation Equation Part 2
    • 2.5
      Forces acting on a Control Volume: Stress tensor
    • 2.6
      Kinematics of deformation in fluid flow: Stress vs Strain Rate Relation
    • 2.7
      Equations governing flow of incompressible flow
    • 2.8
      Spatial discretization of a simple flow domain
    • 2.9
      Finite Difference Approximation of pth Order of Accuracy for qth Order Derivative
    • 2.10
      One-sided high order accurate approximations, Explicit & Implicit Formulations
    • 2.11
      Numerical solution of the unsteady advection equation using different finite
    • 2.12
      Need for analysis of a discretization scheme
    • 2.13
      Statement of the stability problem
    • 2.14
      Consistency and stability analysis of the unsteady diffusion equation
    • 2.15
      Stability analysis of the generic scalar equation
    • 2.16
      Template for the generic scalar transport equation and its extension to the solution
    • 2.17
      Illustration of application of the template using the MacCormack scheme
    • 2.18
      Stability limits of MacCormack scheme
    • 2.19
      Artificial compressibility method and the streamfunction-vorticity method
    • 2.20
      Pressur e equation method for the solution of NS equations
    • 2.21
      Pressure-correction approach to the solution of NS equations on a staggered grid
    • 2.22
      Need for effici ent solution of linear algebraic equations
    • 2.23
      Direct methods for linear algebraic equations & Gaussian elimination method
    • 2.24
      Gauss-Jordan method, LU decomposition method, TDMA & Thomas algorithm
    • 2.25
      Basic iterative methods for linear algebraic equations
    • 2.26
      Convergence analysis of basic iterative schemes, Diagonal dominance condition
    • 2.27
      Application to the Laplace equation
    • 2.28
      Advanced iterative methods: Alternating Direction Implicit Method; Operator splitting
    • 2.29
      Advanced iterative methods, Strongly Implicit Procedure, Conjugate gradient method
    • 2.30
      Illustration of the Multigrid method for the Laplace equation
    • 2.31
      Numerical solution of NS equations for simple domains
    • 2.32
      Derivation of the energy conservation equation
    • 2.33
      Derivation of the species conservation equation & Dealing with chemical reactions
    • 2.34
      Turbulence, Characteristics of turbulent flow, Dealing with fluctuations
    • 2.35
      Derivation of the Reynolds – averaged Navier – Stokes equations
    • 2.36
      Reynolds stresses in Turbulent flow, Time & Length scales of Turbulence
    • 2.37
      One-equation model for turbulent flow
    • 2.38
      Two -equation model for turbulent flow & Numerical calculation of turbulent
    • 2.39
      Calculation of near-wall region in turbulent flow & wall function approach
    • 2.40
      Need for special methods for dealing with irregular fl ow geometry
    • 2.41
      Transformation of the governing equations & Illustration for the Laplace equation
    • 2.42
      Finite volume method for complicated flow domain
    • 2.43
      Finite volume method for the general case
    • 2.44
      Generation of a structured grid for irregular flow domain & Algebraic methods
    • 2.45
      Unstructured grid generation & Domain nodalization
    • 2.46
      Delaunay triangulation method for unstructured grid generation
    • 2.47
      Co-located grid approach for irregular geometries & Pressure correction equations
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Stability analysis of the generic scalar equation
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Illustration of application of the template using the MacCormack scheme
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