Abstract View
An Improved Filtration Model for Gasoline Particulate Filters (GPFs)
PENG WANG, Da-Ren Chen, Virginia Commonwealth University
Abstract Number: 405
Working Group: Control and Mitigation Technology
Abstract
Gasoline particulate filters (GPFs) have been widely used as the aftertreatment devices to control the PM emission from gasoline-powered vehicles in recent years. Compared to those emitted from diesel engines, the PM emitted from gasoline engines are typically smaller in the sizes and higher in the number concentration, resulting in the rare chance for the formulation of soot cake. The collection efficiency of GPFs is highly related to the microstructure of their wall substrates. The “Unit Cell” model assuming the wall substrate of GPFs is made up of different spherical collectors has been commonly employed to estimate the collection efficiency of clean GPFs. However, the collector size distribution of GPFs’ wall substrates was typically derived from the measured pore size distribution in the previous studies, which introduced great uncertainty in the derived collector size distribution. In this study, the Nano-computed tomography (Nano-CT) was employed to reproduce the 3D microstructure of the GPFs’ wall substrate. The size distribution of unit collectors was evaluated directly from the 3D images. The filtration model based on the direct-measured collector size distribution was developed by comparing the predicted collection efficiency with the experimental data. This study demonstrates that the filtration model for GPFs can be improved by characterizing the microstructure of the wall substrate using Nano-CT.