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

doi:10.1016/J.CEJ.2018.01.006

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:

^[1]; Stewart, Mark L. ^[2]; Zelenyuk, Alla ^[2]; Strzelec, Andrea ^[3];

^[1]; Rothamer, David A. ^[1]; Foster, David E. ^[1]; Rutland, Christopher J. ^[1]

Univ. of Wisconsin, Madison, WI (United States). Engine Research Center
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Texas A & M Univ., College Station, TX (United States). Dept. of Mechanical Engineering

Publication Date:: 2018-01-03

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)

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:: Journal Article: 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.  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., 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.  doi: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},

  issn         = {1385-8947},

  number       = C,

  volume       = 338,

  place        = {United States},

  year         = {2018},

  month        = {1}

}

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Journal Article:

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DOI: 10.1016/J.CEJ.2018.01.006

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Figures / Tables:

Table 1: Specifications of two particulate filters

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