A key factor in building grids that accurately simulate your domain is the orthogonality of the grid. CVLGrid allows you to quickly and easily reduce the orthogonal deviation over the whole domain or sub-sections of the domain.
Using CVLGrid you can improve the orthogonality of the whole model domain with the push of a button, saving you a lot of time in the grid customization process.
An example of this is shown to the left where the grid is transformed from an average orthogonal deviation of 7.4 to 1.4 in two easy steps.
CVLGrid also has the ability to improve the orthogonality of a grid within a certain user defined area. A number of optimization tools are provided with different options for different grid types, including: Laplace or Sorenson equations for grid generation, specifying the number of iterations per operation or for each boundary adjustment, and setting the ratio of moving points. Each of these will help you to create a computationally sound grid.