Pore-scale filtration model for coated catalytic filters in automotive exhaust gas aftertreatment
| Autor: | Petr Kočí, Martin Isoz, Miloš Svoboda, Athanasios Tsolakis, David Thompsett, Marie Plachá, Emily Price, Kyriakos X. Kallis |
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| Rok vydání: | 2020 |
| Předmět: |
Test bench
Materials science General Chemical Engineering Particulate filter Cordierite 02 engineering and technology engineering.material Industrial and Manufacturing Engineering Catalysis law.invention 020401 chemical engineering law 0204 chemical engineering Automotive exhaust gas aftertreatment Brownian motion Filtration Diesel particulate filter Applied Mathematics General Chemistry 021001 nanoscience & nanotechnology Filter (aquarium) Chemical engineering engineering Mathematical modeling Catalyst Particle size CFD 0210 nano-technology |
| Zdroj: | Chemical Engineering Science. 226:115854 |
| ISSN: | 0009-2509 |
| DOI: | 10.1016/j.ces.2020.115854 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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