skip to main content


This content will become publicly available on January 3, 2019

Title: Importance of filter’s microstructure in dynamic filtration modeling of gasoline particulate filters (GPFs): Inhomogeneous porosity and pore size distribution

The state-of-the-art multiscale modeling of gasoline particulate filter (GPF) including channel scale, wall scale, and pore scale is described. The microstructures of two GPFs were experimentally characterized. The pore size distributions of the GPFs were determined by mercury porosimetry. The porosity was measured by X-ray computed tomography (CT) and found to be inhomogeneous across the substrate wall. The significance of pore size distribution with respect to filtration performance was analyzed. The predictions of filtration efficiency were improved by including the pore size distribution in the filtration model. A dynamic heterogeneous multiscale filtration (HMF) model was utilized to simulate particulate filtration on a single channel particulate filter with realistic particulate emissions from a spark-ignition direct-injection (SIDI) gasoline engine. The dynamic evolution of filter’s microstructure and macroscopic filtration characteristics including mass- and number-based filtration efficiencies and pressure drop were predicted and discussed. In conclusion, the microstructure of the GPF substrate including inhomogeneous porosity and pore size distribution is found to significantly influence local particulate deposition inside the substrate and macroscopic filtration performance and is recommended to be resolved in the filtration model to simulate and evaluate the filtration performance of GPFs.
ORCiD logo [1] ;  [2] ;  [2] ;  [3] ; ORCiD logo [1] ;  [1] ;  [1] ;  [1]
  1. Univ. of Wisconsin, Madison, WI (United States). Engine Research Center
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  3. Texas A & M Univ., College Station, TX (United States). Dept. of Mechanical Engineering
Publication Date:
Report Number(s):
Journal ID: ISSN 1385-8947; PII: S1385894718300068; TRN: US1800849
Grant/Contract Number:
Accepted Manuscript
Journal Name:
Chemical Engineering Journal
Additional Journal Information:
Journal Volume: 338; Journal Issue: C; Journal ID: ISSN 1385-8947
Research Org:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V); USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Country of Publication:
United States
42 ENGINEERING; Gasoline particulate filter; Particle filtration; Numerical simulation; Substrate microstructure; Particle number; Particle mass
OSTI Identifier: