Matthias Bonarens, Robert Greiner, Martin Votsmeier et David Vidal
Article de revue (2021)
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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.
Mots clés
GPF, DPF, Particulate filters, Filtration efficiency, Polydisperse packed bed,Reduced-order model
Département: | Département de génie mécanique |
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Centre de recherche: | URPEI - Unité de recherche en procédés d'écoulements industriels |
Organismes subventionnaires: | Bundesministerium für Bildung und Forschung |
Numéro de subvention: | 05M20RDA |
URL de PolyPublie: | https://publications.polymtl.ca/9898/ |
Titre de la revue: | Journal of Aerosol Science (vol. 160) |
Maison d'édition: | Elsevier |
DOI: | 10.1016/j.jaerosci.2021.105900 |
URL officielle: | https://doi.org/10.1016/j.jaerosci.2021.105900 |
Date du dépôt: | 26 janv. 2022 12:21 |
Dernière modification: | 26 sept. 2024 11:34 |
Citer en 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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