Matthias Bonarens, Robert Greiner, Martin Votsmeier and David Vidal
Article (2021)
Open Access document in PolyPublie |
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Open Access to the full text of this document Accepted Version Terms of Use: Creative Commons Attribution Non-commercial No Derivatives Download (1MB) |
Abstract
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 |
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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: | 26 Sep 2024 11:34 |
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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