Geometrically realistic macro-scale model for multi-scalesimulations of catalytic filters for automotive gasaftertreatment

0540987 - ÚT 2021 RIV CZ eng C - Conference Paper (international conference)
Hlavatý, Tomáš - Isoz, Martin - Plachá, M. - Šourek, M. - Kočí, P.
Geometrically realistic macro-scale model for multi-scalesimulations of catalytic filters for automotive gasaftertreatment.
Topical Problems of Fluid Mechanics 2020. Praha: Ústav termomechaniky AV ČR, v. v. i., 2020 - (Šimurda, D.; Bodnár, T.), s. 82-89. ISBN 978-80-87012-74-1. ISSN 2336-5781.
[Topical Problems of Fluid Mechanics 2020. Praha (CZ), 19.02.2020-21.02.2020]
R&D Projects: GA MŠMT(CZ) EF15_003/0000493
Institutional support: RVO:61388998
Keywords : CFD * catalytic filter * OpenFOAM
OECD category: Applied mechanics
http://www2.it.cas.cz/fm2015/im/admin/showfile/data/my/Papers/2020/11-TPFM2020.pdf

This paper is part of a research focused on simulating (i) the catalytic conversion of environment endangering gases, and (ii) trapping of the particulate matter in automotive exhaust gas aftertreatment. Historically, the catalytic conversion and the filtration of soot particles were performed in independent devices. However, recent trend is to combine the catalytic converter and soot filter into a single device, the catalytic filter. Compared to the standard two-device system, the catalytic filter is more compact and has lower heat losses. Nevertheless, it is highly sensitive to the catalyst distribution. This study extends our recently developed methodology for pore-scale simulations of flow, diffusion and reaction in the coated catalytic filters. The extension consists of enabling data transfer from macro- to pore-scale models by preparing geometrically realistic macro-scale CFD simulations. The simulation geometry is based on XRT scans of real-life catalytic filters. The flow data from the newly developed macro-scale model are mapped as boundary conditions into the pore-scale simulations and used to improve the estimates of the catalytic filter filtration efficiency.
Permanent Link: http://hdl.handle.net/11104/0318589