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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

Abstract

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.

Authors:
ORCiD logo [1];  [2];  [2];  [3]; ORCiD logo [1];  [1];  [1];  [1]
+ Show Author Affiliations
  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:
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)
OSTI Identifier:
1415777
Alternate Identifier(s):
OSTI ID: 1548885
Report Number(s):
PNNL-SA-131440
Journal ID: ISSN 1385-8947; PII: S1385894718300068; TRN: US1800849
Grant/Contract Number:  
AC0576RL01830
Resource Type:
Accepted Manuscript
Journal Name:
Chemical Engineering Journal
Additional Journal Information:
Journal Volume: 338; Journal Issue: C; Journal ID: ISSN 1385-8947
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; Gasoline particulate filter; Particle filtration; Numerical simulation; Substrate microstructure; Particle number; Particle mass

Citation Formats

Gong, Jian, Stewart, Mark L., Zelenyuk, Alla, Strzelec, Andrea, Viswanathan, Sandeep, Rothamer, David A., Foster, David E., and Rutland, Christopher J. Importance of filter’s microstructure in dynamic filtration modeling of gasoline particulate filters (GPFs): Inhomogeneous porosity and pore size distribution. United States: N. p., 2018. Web. doi:10.1016/J.CEJ.2018.01.006.
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Gong, Jian, Stewart, Mark L., Zelenyuk, Alla, Strzelec, Andrea, Viswanathan, Sandeep, Rothamer, David A., Foster, David E., & Rutland, Christopher J. Importance of filter’s microstructure in dynamic filtration modeling of gasoline particulate filters (GPFs): Inhomogeneous porosity and pore size distribution. United States. https://doi.org/10.1016/J.CEJ.2018.01.006
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Gong, Jian, Stewart, Mark L., Zelenyuk, Alla, Strzelec, Andrea, Viswanathan, Sandeep, Rothamer, David A., Foster, David E., and Rutland, Christopher J. Wed . "Importance of filter’s microstructure in dynamic filtration modeling of gasoline particulate filters (GPFs): Inhomogeneous porosity and pore size distribution". United States. https://doi.org/10.1016/J.CEJ.2018.01.006. https://www.osti.gov/servlets/purl/1415777.
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@article{osti_1415777,
title = {Importance of filter’s microstructure in dynamic filtration modeling of gasoline particulate filters (GPFs): Inhomogeneous porosity and pore size distribution},
author = {Gong, Jian and Stewart, Mark L. and Zelenyuk, Alla and Strzelec, Andrea and Viswanathan, Sandeep and Rothamer, David A. and Foster, David E. and Rutland, Christopher J.},
abstractNote = {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.},
doi = {10.1016/J.CEJ.2018.01.006},
journal = {Chemical Engineering Journal},
number = C,
volume = 338,
place = {United States},
year = {Wed Jan 03 00:00:00 EST 2018},
month = {Wed Jan 03 00:00:00 EST 2018}
}
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Journal Article:
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Publisher's Version of Record
https://doi.org/10.1016/J.CEJ.2018.01.006
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Citation Metrics:
Cited by: 39 works
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Figures / Tables:

Table 1 Table 1: Specifications of two particulate filters
All figures and tables (16 total)
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Works referenced in this record:

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    Works referencing / citing this record:

    Development of a Kalman filter estimator for simulation and control of particulate matter distribution of a diesel catalyzed particulate filter
    journal, July 2018

    • Singalandapuram Mahadevan, Boopathi; Johnson, John H.; Shahbakhti, Mahdi
    • International Journal of Engine Research
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    3D pore analysis of gasoline particulate filters using X-ray tomography: impact of coating and ash loading
    journal, January 2019

    • Seong, Heeje; Choi, Seungmok; Matusik, Katarzyna E.
    • Journal of Materials Science, Vol. 54, Issue 8
    • DOI: 10.1007/s10853-018-03310-w

    Development of GPF Using Micro-CT Measurement and Numerical Analytical Technique
    journal, January 2019

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      Figures / Tables found in this record:

      Table 1 (p. 7)table
      Fig. 1 (p. 8)figure
      Fig. 2 (p. 9)figure
      Fig. 3 (p. 10)figure
      Fig. 4 (p. 15)figure
      Fig. 5 (p. 15)figure
      Fig. 6 (p. 17)figure
      Fig. 7 (p. 17)figure
      Table 2 (p. 17)table
      Fig. 8 (p. 19)figure
      Table 3 (p. 20)table
      Fig. 9 (p. 21)figure
      Fig. 10 (p. 23)figure
      Fig. 11 (p. 24)figure
      Fig. 12 (p. 26)figure
      Fig. 13 (p. 27)figure
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