Identifying And Visualizing Bad Cells
To identify and visualize cells in Simcenter STAR-CCM+ according to a given criteria, such as one of the quality metrics, use threshold values.
Two main types of threshold are available to achieve this goal:
Two techniques are available when using derived part thresholds to identify poor quality cells in the mesh:
- Identification and visualization using cell metrics. This method can be used for finding cells with negative volumes, high cell skewness angles, and low values of face validity, cell quality, and volume change.
- Identification and visualization using boundary metrics. This method is useful for finding cells with zero area faces and high boundary skewness angles.
The cell-set threshold options allow multiple threshold criteria to be defined for identifying cells, as well as providing tools for manipulating the cell collections.
Other than a tool to remove invalid cells, Simcenter STAR-CCM+ does not currently have any volume mesh fixing tools to correct problems found using the threshold checks. However, it is useful to extract information such as the cell index ID or the location of the cell centroid to help identify the cells in the original pre-processing package. An example way of creating a XY plot showing bad cells that have been identified using a threshold is presented.