Abstract
Keywords:
Diesel Particulate Filters (DPF), Pressure drop, Filtration,
Abstract
Prediction of diesel particulate filtration necessitates appropriate models of pressure drop and particulate matter collection, and the models are closed with certain parameters for much smaller scales and thus are typically obtained from measurements. Included are soot cake permeability, soot cake density, soot density in filter wall, and percolation constant. In order for estimating these essential parameters, DPF filtration model is freshly made with non-linear description of soot cake regression and validated by single channel DPF experiments. Effects of these parameters on the pressure drop, that is a measure of filtration quality, are investigated in a parametric manner and discussed in terms of filtration velocity. Results exhibited that pressure drops are significantly altered by the extent of percolation constant, and soot density in the filter wall is more important in deep-bed filtration mode. In addition, effect of soot particle on filtration quality is dominantly distinctive in soot cake region than deep-bed mode.