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
URI: 2-s2.0-85086430408
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
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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/41925

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