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Technical Paper

Microstructural Properties of Soot Deposits in Diesel Particulate Traps

2002-03-04
2002-01-1015
As demand for wall-flow Diesel particulate filters (DPF) increases, accurate predictions of DPF behavior, and in particular of the accumulated soot mass, under a wide range of operating conditions become important. This effort is currently hampered by a lack of a systematic knowledge of the accumulated particulate deposit microstructural properties. In this work, an experimental and theoretical study of the growth process of soot cakes in honeycomb ceramic filters is presented. Particular features of the present work are the application of first- principles measurement and simulation methodology for accurate determination of soot cake packing density and permeability, and their systematic dependence on the filter operating conditions represented by the Peclet number for mass transfer. The proposed measurement methodology has been also validated using various filters on different Diesel engines.
Technical Paper

Predicting Pressure Drop of Wall-Flow Diesel Particulate Filters - Theory and Experiment

2000-03-06
2000-01-0184
Information on transport mechanisms in a Diesel Particulate Filter (DPF) provides crucial insight into the filter performance. Extensive experimental work has been pursued to modify, customize and validate a model yielding accurate predictions of a ceramic wall-flow DPF pressure drop. The model accounts, not only for the major pressure drop components due to flow through porous walls but also, for viscous losses due to channel plugs, flow contraction and expansion due to flow entering and exiting the trap and also for flow secondary inertial effects near the porous walls. Experimental data were collected on a matrix of filters covering change in filter diameter and length, cell density and wall thickness and for a wide range of flow rates. The model yields accurate predictions of DPF pressure drop with no particulate loading and, with adequate adjustment, it is also capable of making predictions of pressure drop for filters lightly-loaded with particulates.
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