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
Headquartered in Madison, Wisconsin, Convergent Science is a global leader in computational fluid dynamics (CFD) software. Our mission is to enable our customers to perform revolutionary CFD simulations by creating accurate, versatile, user-friendly software and providing unparalleled support.
Our flagship product, CONVERGE, is an innovative CFD software that eliminates the grid generation bottleneck through autonomous meshing. With a suite of advanced physical models, fully coupled detailed chemistry, and the ability to easily accommodate moving geometries, CONVERGE is transforming the CFD industry and shifting the paradigm toward predictive simulations.