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Volume 64, Issue 2
  • ISSN: 2056-5135
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  • oa Insights into Automotive Particulate Filters using Magnetic Resonance Imaging

    Understanding filter drying in the manufacturing process and the effect of particulate matter on filter operation and fluid dynamics

  • Authors: J. D. Cooper1, N. P. Ramskill1, A. J. Sederman1, L. F. Gladden1, A. Tsolakis2, E. H. Stitt3 and A. P. E. York4
  • Affiliations: 1 Department of Chemical Engineering and Biotechnology, University of CambridgeWest Cambridge Site, Philippa Fawcett Drive, Cambridge, CB3 0ASUK 2 School of Mechanical Engineering, University of BirminghamEdgbaston, Birmingham, B15 2TTUK 3 Johnson MattheyPO Box 1, Belasis Avenue, Billingham, Cleveland, TS23 1LBUK 4 Johnson MattheyBlounts Court, Sonning Common, Reading, RG4 9NHUK
  • Source: Johnson Matthey Technology Review, Volume 64, Issue 2, Apr 2020, p. 165 - 179
  • DOI: https://doi.org/10.1595/205651320X15754757907469
    • Published online: 01 Jan 2020

Abstract

Understanding the manufacture and operation of automotive emissions control particulate filters is important in the optimised design of these emissions control systems. Here we show how magnetic resonance imaging (MRI) can be used to understand the drying process, which is part of the manufacture of catalysed particulate filters. Comparison between a wall-flow particulate filter substrate and a flow-through monolith (FTM) has been performed, with MRI giving spatial information on the drying process. We have also used MRI to study the fluid dynamics of a gasoline particulate filter (GPF). Inlet and outlet channel gas velocities have been measured for a clean GPF and two GPF samples loaded with particulate matter (PM) to understand the effect of PM on the filter flow profiles and porous wall permeability as soot is deposited.

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2020-01-01
2024-12-26
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Insights into Automotive Particulate Filters using Magnetic Resonance Imaging
Johnson Matthey Technology Review 64, 165 (2020); https://doi.org/10.1595/205651320X15754757907469
/content/journals/10.1595/205651320X15754757907469
/content/journals/10.1595/205651320X15754757907469
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