Modeling of Complete Filter and Simulation of Flow and Particle Filtration
PDF tutorial
The effectiveness of a filter medium is directly influenced by its microstructure.
However, once the suitable medium is chosen, the overall filter performance depends strongly on the arrangement and interaction of multiple components such as the housing, inlets and outlets, support meshes, and pleat geometry.
With the “Complete Filter” feature in the FilterDict module, the entire filter assembly — including housing and inlets/outlets — can be simulated. The full filter structure is created by importing 3D CAD models of the individual components using ImportGeo-CAD.
Two simulation options are available within the Complete Filter setup:
- Filter Flow Experiment — to calculate the clean flow through the entire filter and determine the pressure drop at a given flow velocity (or vice versa).
- Filter Lifetime — to perform a particle filtration simulation, providing valuable insights into the evolution of pressure drop, filtration efficiency, dust loading, and other relevant parameters during the filtration process.
This tutorial contains a sample filter assembly with CAD data for various components. You will learn how to import the STL files for the base plate, filter capsule, inner and outer support nets, and pleated filter media, and assign them unique material IDs.
You will also learn how to set up flow and filtration simulations and then visualize and analyze the results to gain a deep understanding of the behavior of the complete filter.
In this PDF tutorial you will learn step-by-step:
- Understand the workflow for modeling a complete filter in GeoDict.
- Import CAD-based geometries of all filter components.
- Set up and run flow and filtration simulations for the full filter structure.
- Analyze results to gain insights into pressure drop, filtration efficiency, and clogging behavior over time.
- Optimize the filter design by adjusting parameters such as pleat number, pleat pack diameter, and pleat radius.
- Apply the same workflow iteratively to identify the best-performing complete filter design.
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