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

Journal Article · · Chemical Engineering Journal
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
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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.

Research Organization:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V); USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC0576RL01830
OSTI ID:
1415777
Alternate ID(s):
OSTI ID: 1548885
Report Number(s):
PNNL-SA-131440; PII: S1385894718300068; TRN: US1800849
Journal Information:
Chemical Engineering Journal, Vol. 338, Issue C; ISSN 1385-8947
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 39 works
Citation information provided by
Web of Science

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Cited By (3)

Development of a Kalman filter estimator for simulation and control of particulate matter distribution of a diesel catalyzed particulate filter journal July 2018
3D pore analysis of gasoline particulate filters using X-ray tomography: impact of coating and ash loading journal January 2019
Development of GPF Using Micro-CT Measurement and Numerical Analytical Technique journal January 2019

Figures / Tables (16)

Table 1(p. 7)table Table 1
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Fig. 7(p. 17)figure Fig. 7
Table 2(p. 17)table Table 2
Fig. 8(p. 19)figure Fig. 8
Table 3(p. 20)table Table 3
Fig. 9(p. 21)figure Fig. 9
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Fig. 11(p. 24)figure Fig. 11
Fig. 12(p. 26)figure Fig. 12
Fig. 13(p. 27)figure Fig. 13

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Related Subjects

42 ENGINEERING
Gasoline particulate filter
Particle filtration
Numerical simulation
Substrate microstructure
Particle number
Particle mass