Optimization of Filter Element Designs by What-If Simulation Studies
FiltEST provides flexible »virtual« test stands for both single-pass and multi-pass tests. Thanks to the generic implementation of these virtual test stands, the simulation toolbox is able to cover a broad range of standardized efficiency tests. Furthermore, the test dust in the simulation can consist of several particle sizes (»channels«) in order to compute fractional filtration efficiencies. These features bring the simulation closer to reality and simplify the comparison of measured filter performance with the computed results.
Equipped with these possibilities, product developers can benefit from the variation of various design parameters in order to find their optimal combination. FiltEST allows for the study of the effects of such variations that would require substantial efforts when applied to real-world prototypes. Amongst others, this includes the variation of
- geometrical features of the filter element housing, shaping of supporting structures (e. g. ribs),
- the geometry of the filter media (e. g. pleat packing density, pleat shape),
- the filtering materials themselves, combinations of them and in case of multi-layered media, the thickness of individual layers.
To sum up, FiltEST enables product developers to evaluate and compare different filter designs before the prototyping stage.
Integration in the CAE Workflow and Visualization of Results
FiltEST currently supports the import of CAD data in STL format as input for the built-in grid generator. The results of efficiency simulations are stored in text-based tables which can be easily imported by any common worksheet software (e. g. MS Excel®, OpenOffice, LibreOffice) for further postprocessing (e. g. creation of data charts).
The visualization data are stored in the open VTK format and can be viewed either using the built-in viewer tool or open-source software (e. g. Paraview, VisIt). The 3D visualization of the velocity field, the distribution of pressure, particle concentrations and retentions puts the user in a position to "look inside" the filter element during operation, giving additional information for further improvement of the design.