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Towards a polydisperse packed bed filtration model as a surrogate model for particulate filters

Matthias Bonarens, Robert Greiner, Martin Votsmeier and David Vidal

Article (2021)

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Monodisperse packed beds have long been used as surrogate models to predict the filtration performance of particulate filters using analytical methods. In recent years, however, polydisperse packed beds have received special attention as they have the potential to better represent the microstructure of porous filter walls. In this paper, an analytical model for the filtration performance of clean polydisperse packed beds is derived based on the well-proven classical packed bed filtration theory. Predictions of the newly developed model were compared to the results of numerical simulations of the filtration performance of two polydisperse packed beds. The proposed filtration model was in considerably better agreement with the simulations than previous analytical models.

Uncontrolled Keywords

GPF, DPF, Particulate filters, Filtration efficiency, Polydisperse packed bed,Reduced-order model

Department: Department of Mechanical Engineering
Research Center: URPEI - Research Center in Industrial Flow Processes
Funders: Bundesministerium für Bildung und Forschung
Grant number: 05M20RDA
PolyPublie URL: https://publications.polymtl.ca/9898/
Journal Title: Journal of Aerosol Science (vol. 160)
Publisher: Elsevier
DOI: 10.1016/j.jaerosci.2021.105900
Official URL: https://doi.org/10.1016/j.jaerosci.2021.105900
Date Deposited: 26 Jan 2022 12:21
Last Modified: 05 Apr 2024 12:19
Cite in APA 7: Bonarens, M., Greiner, R., Votsmeier, M., & Vidal, D. (2021). Towards a polydisperse packed bed filtration model as a surrogate model for particulate filters. Journal of Aerosol Science, 160, 105900. https://doi.org/10.1016/j.jaerosci.2021.105900


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