Multiscale Modeling and Analysis of Pressure Drop Contributions in Catalytic Filters

0542871 - ÚT 2022 RIV US eng J - Journal Article
Leskovjan, M. - Němec, J. - Plachá, M. - Kočí, P. - Isoz, Martin - Svoboda, M. - Novák, V. - Price, E. - Thompsett, D.
Multiscale Modeling and Analysis of Pressure Drop Contributions in Catalytic Filters.
Industrial and Engineering Chemistry Research. Roč. 60, č. 18 (2021), s. 6512-6524. ISSN 0888-5885
Institutional support: RVO:61388998
Keywords : multiscale modeling * catalytic monoliths * automotive exhaust aftertreatment systems
OECD category: Chemical process engineering
Impact factor: 4.326, year: 2021
Method of publishing: Limited access
https://pubs.acs.org/doi/10.1021/acs.iecr.0c05362

Catalytic monolith filters with a honeycomb structure represent a key component of modern automotive exhaust gas aftertreatment systems. In this paper, we present and validate a
multiscale modeling methodology for the prediction of filter pressure loss depending on the monolith channel geometry as well as the microscopic structure of the wall including catalytic coating. The
approach is based on the combination of a 3D pore-scale model of flow through the wall reconstructed from X-ray tomography and a 1D+1D model of the filter channels. Several cordierite and SiC filter samples with varying substrate pore sizes and catalyst distributions are examined. A series of experiments are performed at different gas flow rates and filter lengths in order to validate the model predictions and to distinguish individual pressure drop contributions (inlet and outlet, channel, and wall). The predicted pressure drop shows a strong impact of the coating location and agrees well with the experiments.
Permanent Link: http://hdl.handle.net/11104/0320216