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

• Published in: Johnson Matthey technology review Vol. 64; no. 2; pp. 165 - 179
• Main Authors: Cooper, J. D., Ramskill, N. P., Sederman, A. J., Gladden, L. F., Tsolakis, A., Stitt, E. H., York, A. P. E.
• Format: Journal Article
• Language: English
• Published: London Johnson Matthey 01.04.2020; Johnson Matthey PLC
• Subjects: Control systems design; Design optimization; Drying; Emission standards; Emissions control; Fluid dynamics; Fluid filters; Magnetic resonance imaging; Particulate emissions; Porous walls; Soot; Spatial data; Substrates; Wall flow
• ISSN: 2056-5135; 2056-5135
• DOI: 10.1595/205651320X15754757907469

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.