Computational Fluid Dynamics - ENG ME702 - Video
By Lorena A. Barba, Boston University
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There are many situations in which a computational approach is the ideal one for studying a problem. For example, in studying the flow of air in the breathing tract of a human, one can hardly do experiments! And even if we could experiment, how could we *see* what is happening? By simulation, we can both perform virtual experiments of the flow of fluids, and visualize the results in a myriad ways. Computational Fluid Dynamics (CFD) is vital for many applications of science and engineering. This course is designed for graduate students or advanced undergraduates. Professor Lorena A Barba Mechanical Engineering Department Boston University
|1||VideoWelcome to the course for iTunes subscribers||--||2/23/2010||Free||View in iTunes|
|2||VideoLecture 1: Introduction to Computational Fluid Dynamics.||--||2/11/2010||Free||View in iTunes|
|3||VideoLecture 2: finite differences, model equations, and assignment steps 1 to 4||--||2/19/2010||Free||View in iTunes|
|4||VideoLecture 3: FD explicit/implicit methods; Crank-Nicholson method; assignment steps 5 to 8||--||2/23/2010||Free||View in iTunes|
|5||VideoLecture 4: Analysis of numerical schemes; consistency, stability, convergence.||--||2/25/2010||Free||View in iTunes|
|6||VideoLecture 5: Analysis of numerical schemes; modified differential equation. Von Neumann stability analysis. Examples.||--||2/26/2010||Free||View in iTunes|
|7||VideoLecture 6: Computing Navier-Stokes; pressure Poisson equation; steps 9 to 12 of assignment.||--||3/3/2010||Free||View in iTunes|
|8||VideoLecture 7: New schemes for convection: leapfrog, Lax-Friedrichs, Lax-Wendroff.||--||3/10/2010||Free||View in iTunes|
|9||VideoLecture 8: new schemes for convection, and dispersion errors.||--||3/10/2010||Free||View in iTunes|
|10||VideoLecture 9: schemes for hyperbolic equations; Beam-Warming; multistep-methods including MacCormack||--||3/16/2010||Free||View in iTunes|
|11||VideoLecture 10: Nonlinear convection classic schemes; assignment in 5 steps with Burgers equation.||--||3/27/2010||Free||View in iTunes|
|12||VideoLecture 11: Numerical solution of the Euler equations.||--||3/28/2010||Free||View in iTunes|
|13||VideoLecture 12: the Finite Volume Method||--||3/30/2010||Free||View in iTunes|
|14||VideoLecture 13: the Finite Volume method, part 2.||--||4/3/2010||Free||View in iTunes|
|15||VideoLecture 14: choices for final assignment. Time Integration Methods.||--||4/16/2010||Free||View in iTunes|
|16||VideoLecture 15: Time integration methods, modal decomposition, stability condition||--||4/18/2010||Free||View in iTunes|
|17||VideoLecture 16: Time integration methods (cont.), stability condition; stability regions in the complex plane. Examples.||--||4/24/2010||Free||View in iTunes|
|18||VideoLecture 7 (2011) part 1: pressure correction, collocated vs. staggered grid, MAC method||--||3/2/2011||Free||View in iTunes|
|19||VideoLecture 7 (2011) part 2: boundary conditions for the pressure Poisson equation||--||3/2/2011||Free||View in iTunes|
|20||VideoLecture "zero" (2012) part 1: Review of the derivation of the Equation of Conservation of Mass||Part 1 of a 3-part review of the derivation of the differential form of the fluid equations, this 12 min "pencast" explains the derivation of the equation of conservation of mass for a small (infinitesimal) element of fluid.||1/16/2012||Free||View in iTunes|
|21||VideoLecture "zero" (2012) part 2: Derivation of the Equation of Conservation of Momentum||Part 2 of a 3-part review of the derivation of the differential form of the fluid equations, this "pencast" explains the derivation of the equation of conservation of momentum by making a balance of forces of a small (infinitesimal) volume of fluid. Assuming no shearing stresses, it concludes with the Euler equations in vector form.||1/16/2012||Free||View in iTunes|
CFD - BU ME702 Lecture Series
I feel that this was a great set of lectures for an introduction to CFD. The style of writing out equations has been lost with the era of PowerPoint charts. To see the equations and discretizations being derived slowly and methodically I feel was a great help.
I wish we could see more of the simulations using the Enthought Python tool from the assignments.... but that would make things too easy on the student.
After this class, I am now reading my Tannehill, Anderson and Pletcher textbook with much better understanding.