Submitted by Richard Smith on December 2, 2015 - 14:30
A Computational Fluid Dynamics (CFD) simulation requires that you configure physics and solver values based on your knowledge of your fluid application. Primarily this setup stage requires defining your fluid state, reference values (e.g., velocity), initial values, boundary conditions, and solver parameters. Follow along as I describe each stage and relate it to a CFD simulation of the external airflow over an idealized car.
CFD Simulation of the External Airflow Over an Idealized CarPressure iso-surfaces
Submitted by Richard Smith on November 25, 2015 - 09:27
Meshing in a single, integrated simulation environment (e.g., Caedium) for Computational Fluid Dynamics (CFD) is different, in a good way, from meshing in a dedicated mesh or post-processing tool. An integrated CFD simulation environment has the standard meshing tools, but in addition upstream you have a full geometry engine to create and modify geometry as needed, and downstream you can use the same meshing tools for visualization, such as seeds for streamlines and surfaces for results interpolation. You are not forced into a linear progression through the CFD simulation process, because often it requires multiple visits backwards and forwards (non-linear) through the tool chain to get to a final result. Also the visualization of mesh metrics (e.g., surface mesh quality) is identical to general flow field visualization (e.g., pressure), which minimizes the number of concepts you need to learn.
Submitted by Richard Smith on October 22, 2015 - 10:30
If fluid flow is a primary driver for your design project then Computational Fluid Dynamics (CFD) is likely to be a cost effective way to help meet your goals. You could outsource your CFD to consultants, but in the long run it usually pays to do it yourself.