Pore-scale filtration model for coated catalytic filters in automotive exhaust gas aftertreatment

0535255 - ÚT 2021 RIV GB eng J - Journal Article
Plachá, M. - Kočí, P. - Isoz, Martin - Svoboda, M. - Price, E. - Thompsett, D. - Kallis, K. - Tsolakis, A.
Pore-scale filtration model for coated catalytic filters in automotive exhaust gas aftertreatment.
Chemical Engineering Science. Roč. 226, November (2020), č. článku 115854. ISSN 0009-2509. E-ISSN 1873-4405
Institutional support: RVO:61388998
Keywords : particulate filter * mathematical modeling * CFD * filtration * catalyst * automotive exhaust gas aftertreatment
OECD category: Chemical process engineering
Impact factor: 4.311, year: 2020
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S0009250920303869

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.
Permanent Link: http://hdl.handle.net/11104/0314623