Numerical Model of Filtration Efficiency Based on Fractal Characteristics of Particulate Matter and...
Numerical Model of Filtration Efficiency Based on Fractal Characteristics of Particulate Matter and Particle Filter
About this item
Full title
Author / Creator
Liu, Yiqing , Wang, Hao and Yu, Haisheng
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
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More information
Scope and Contents
Contents
Fractal theory was used to characterize particles and particle trapping parameters to accurately predict the particle filtration process inside a gasoline engine particle filter (GPF). The particles were fractal aggregates, and the fractal dimension (Df) was introduced to redefine the particle size. The porous medium inside the particle filter was...
Alternative Titles
Full title
Numerical Model of Filtration Efficiency Based on Fractal Characteristics of Particulate Matter and Particle Filter
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e89058b058b9460085206b6797ad57de
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e89058b058b9460085206b6797ad57de
Other Identifiers
ISSN
2073-4433
E-ISSN
2073-4433
DOI
10.3390/atmos14111689
