Design of automotive flow-through catalysts with optimized soot trapping capability
Journal article, 2010

A hybrid model for accurate and computationally efficient simulations of the particle trapping characteristics of automotive flow-through catalysts is suggested in this paper. The new model is validated against the performance of a more elaborate, but computationally far more expensive model. In this hybrid model, the trapping of the smallest particles is predicted using a computationally efficient submodel that can also be used for screening of new catalyst substrate designs. It is shown here that this screening model is very accurate for particles smaller than approximately 50 nm. A number of different catalyst designs are evaluated and compared using the screening model. In particular, the performance of a promising channel design with porous obstacles is evaluated. This design could potentially give over 70% reduction of small soot particles without a substantial increase in the pressure drop.

Diesel soot


Particulate matter

Computational fluid dynamics (CFD)

Automotive catalyst

Gasoline soot


Henrik Ström

Competence Centre for Catalysis (KCK)

Chalmers, Chemical and Biological Engineering, Chemical Reaction Engineering

Srdjan Sasic

Chalmers, Applied Mechanics, Fluid Dynamics

Bengt Andersson

Chalmers, Chemical and Biological Engineering, Chemical Reaction Engineering

Competence Centre for Catalysis (KCK)

Chemical Engineering Journal

1385-8947 (ISSN)

Vol. 165 3 934-945

Subject Categories

Chemical Process Engineering

Chemical Engineering

Fluid Mechanics and Acoustics



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