Title: | Pore-scale filtration model for coated catalytic filters in automotive exhaust gas aftertreatment |
Authors: | Plachá, Marie Kočí, Petr Isoz, Martin Svoboda, Miloš Price, Emily Thompsett, David Kallis, Kyriakos X. Tsolakis, Athanasios |
Citation: | PLACHÁ, M., KOČÍ, P., ISOZ, M., SVOBODA, M., PRICE, E., THOMPSETT, D., KALLIS, K. X., TSOLAKIS, A. Pore-scale filtration model for coated catalytic filters in automotive exhaust gas aftertreatment. Chemical engineering science, 2020, roč. 226, č. NOV 23 2020. ISSN 0009-2509. |
Issue Date: | 2020 |
Publisher: | Elsevier |
Document type: | článek article |
URI: | 2-s2.0-85086430408 http://hdl.handle.net/11025/41925 |
ISSN: | 0009-2509 |
Keywords in different language: | Particulate filter;Mathematical modeling;CFD;Filtration;Catalyst;Automotive exhaust gas aftertreatment |
Abstract in different language: | In this paper we explore the impact of catalyst distribution on the filtration efficiency of automotive exhaust gas filters (GPF and DPF). The structure of filter wall is reconstructed from 3D X-ray tomography (XRT), including spatial distribution of catalytic material. The filtration process is simulated by a custom solver developed and implemented in OpenFOAM using Lagrangian approach for soot particles. GPF samples based on a cordierite substrate are examined with the same amount but different distribution of washcoat, ranging from in-wall to on-wall arrangement. Clean filtration efficiencies are predicted depending on gas velocity and particle size. Brownian motion strongly improves the filtration of particles smaller than 50 nm. On-wall catalyst layer significantly increases the clean filtration efficiency. The obtained results are compared to experimental data from engine test bench. |
Rights: | Plný text není přístupný. © Elsevier |
Appears in Collections: | Články / Articles OBD |
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http://hdl.handle.net/11025/41925
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