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

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
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: 05 avr. 2024 12:19
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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