Grid-flow: the democratization of CFD
Grid-flow (ex-WCCH) solver is based on a Finite Volume method but differs from most of the conventional CFD solver by offering a fully automated and integrated CFD environment. Human action is reduced to the setting up of the simulation through a limited number of key parameters. Mesh generation and flow resolving are then carried out by Grid-flow without compromising the numerical accuracy. Grid-flow solver saves time so engineers can dedicate more effort to the design of their product and flow analysis.
Fast mesh generation
Grid-flow solver relies on locally refined Cartesian grids. An octree hierarchical data structure allowing to split initial Cartesian mesh into evenly-split sub-cells. The mesh can be generated almost instantly for the user only by setting the minimal and maximal subdivision levels.
Adaptive mesh refinementThe previously explained octree Cartesian mesh feature allows to use adaptive mesh refinement (AMR). Many physics-based refinement criteria are implemented in order to dynamically refine the areas where important phenomena occur. This ensures that the quality of results is independent from the way the user sets up the initial mesh. Indeed, in most commercial methods, the CFD engineer needs to know a-priori how the flow will behave in order to create a proper mesh.
Automatic handling of geometries
Complex boundaries are immersed into the Cartesian grid and considered directly by numerical algorithms, so no boundary-fitted meshes are used. This way of processing geometries allows complex and unclean CAD bodies to be permitted.