Five questions about the computational grid

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I HAVE COMPLEX MODEL GEOMETRY. HOW CAN THE MESH IN FLOWVISION ENSURE SOLUTION ACCURACY IN BOUNDARY CELLS?

The exact replication of the geometric model surface by the computational mesh is ensured by using the sub-grid resolution method.

The sub-grid resolution method is applicable to geometry of any degree of complexity and detail. Sub-grid resolution does not simplify the model geometry, but simply changes the shape of the cells surrounding it. The model is subtracted from the automatically generated mesh and, for each boundary cell, fluxes are approximated across each cell face. Therefore, a boundary cell differs from a regular one only in that it does not have 6 faces, but more, depending on the complexity of the geometry.

Cells formed by subtracting the geometric model from the computational grid. The shape of the cell depends on the complexity of the geometry.

The most difficult thing in the method of sub-grid geometry resolution is solving equations in boundary cells with intricate shapes. Our developers successfully cope with this task by using finite volume approximation of equations. 

This is how FlowVision combines the convenience of automatic mesh generation with the accuracy of sub-grid resolution to produce high-quality results

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