CFD simulations can be a powerful tool when designing an internal-combustion engine; however, the results of CFD simulations often change as the grid is refined. This is known as grid dependence. When grid dependence is observed, the traditional approach is to optimize the results by tuning grid sizes and model constants based on experimental data. This is a viable approach only in the presence of high-fidelity experimental data.
Read more @ Achieving grid convergence in large internal-combustion engine simulations
About Convergent Science
Founded in 1997 in Madison, Wisconsin, Convergent Science is a global leader in computational fluid dynamics (CFD) software. Its customers include leading automotive and commercial vehicle manufacturers, tier one suppliers, and professional motorsport teams.
Its flagship product, CONVERGE, includes groundbreaking technology that eliminates the user-defined mesh, fully couples the automated mesh and the solver at runtime, and automatically refines the mesh when and where it is needed. CONVERGE is revolutionizing the CFD industry and shifting the paradigm towards predictive CFD.