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Chemical - Computational Fluid Dynamics

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Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in

Self-Study Content
  1. Mod-01 Lec-01 Motivation for CFD and Introduction to the CFD approach

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  2. Mod-01 Lec-02 Illustration of the CFD approach through a worked out example

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  3. Mod-02 Lec-03 Eulerian approach, Conservation Equation, Derivation of Mass Conservation Equation

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  4. Mod-02 Lec-04 Eulerian approach, Conservation Equation, Derivation of Mass Conservation Equation

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  5. Mod-02 Lec-05 Forces acting on a control volume; Stress tensor;

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  6. Mod-02 Lec-06 Kinematics of deformation in fluid flow; Stress vs strain rate relation

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  7. Mod-02 Lec-07 Equations governing flow of incompressible flow;

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  8. Mod-03 Lec-08 Cut out the first 30s; Spatial discretization of a simple flow domain;

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  9. Mod-03 Lec-09 Finite difference approximation of pth order of accuracy for qth order derivative;

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  10. Mod-03 Lec-10 One-sided high order accurate approximations,Explicit and implicit formulations

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  11. Mod-03 Lec-11 Numerical solution of the unsteady advection equation using different finite.

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  12. Mod-03 Lec-12 Need for analysis of a discretization scheme; Concepts of consistency

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  13. Mod-03 Lec-13 Statement of the stability problem

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  14. Mod-03 Lec-14 Consistency and stability analysis of the unsteady diffusion equation

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  15. Mod-03 Lec-15 Interpretation of the stability condition,Stability analysis of the generic scalar equ

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  16. Mod-04 Lec-16 Template for the generic scalar transport equation and its extension to the solution

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  17. Mod-04 Lec-17 Illustration of application of the template using the MacCormack scheme

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  18. Mod-04 Lec-18 Stability limits of MacCormack scheme

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  19. Mod-04 Lec-19 Artificial compressibility method and the streamfunction-vorticity method

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  20. Mod-04 Lec-20 Pressur e equation method for the solution of NS equations

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  21. Mod-04 Lec-21 Pressure-correction approach to the solution of NS equations on a staggered grid

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  22. Mod-05 Lec-22 Need for effici ent solution of linear algebraic equations

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  23. Mod-05 Lec-23 Direct methods for linear algebraic equations; Gaussian elimination method

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  24. Mod-05 Lec-24 Gauss-Jordan method; LU decomposition method; TDMA and Thomas algorithm

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  25. Mod-05 Lec-25 Basic iterative methods for linear algebraic equations: Description of point -Jacobi

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  26. Mod-05 Lec-26 Convergence analysis of basic iterative schemes,Diagonal dominance condition

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  27. Mod-05 Lec-27 Application to the Laplace equation

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  28. Mod-05 Lec-28 Advanced iterative methods: Alternating Direction Implicit Method; Operator splitting

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  29. Mod-05 Lec-29 Advanced iterative methods,Strongly Implicit Procedure,Conjugate gradient method

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  30. Mod-05 Lec-30 Illustration of the Multigrid method for the Laplace equation

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  31. Mod-06 Lec-31 Overview of the approach of numerical solution of NS equations for simple domains

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  32. Mod-06 Lec-32 Derivation of the energy conservation equation

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  33. Mod-06 Lec-33 Derivation of the species conservation equation; dealing with chemical reactions

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  34. Mod-06 Lec-34 Turbulence,Characteri stics of turbulent flow,Dealing with fluctuations

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  35. Mod-06 Lec-35 Derivation of the Reynolds -averaged Navier -Stokes equations

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  36. Mod-06 Lec-36 Reynol ds stresses in turbulent flow,Time and length scales of turbulence

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  37. Mod-06 Lec-37 One-equation model for turbulent flow

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  38. Mod-06 Lec-38 Two -equation model for turbulent flow; Numerical calculation of turbulent

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  39. Mod-06 Lec-39 Calculation of near-wall region in turbulent flow; wall function approach

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

  40. Mod-07 Lec-40 Need for special methods for dealing with irregular fl ow geometry

    Computational Fluid Dynamics by Prof. Sreenivas Jayanti, Department of Chemical Engineering, IIT Mad

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