Theoretical Model for Surface Filtration Pressure Drop and Accurate Measurement Method of Dust Cake Porosity

Wanyi Zhang, Shiming Deng, Zhongping Lin

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Air filters have been widely used in the protection of production and living environments. The dynamic pressure drop of the air filter directly affects the energy consumption of the ventilation system, which has caused widespread concern. This chapter focused on theoretical modelling of dust cake resistance and proposed the device and methods for accurately measuring porosity. Based on the analysis of Cunningham’s sliding correction coefficient, the surface filtration resistance model of lognormally distributed particles is derived and simplified into monodispersed form. A laser scanning distance-measuring device was built to measure the thickness of the dust layer and its variation on the surface of the PTFE membrane. Finally, the porosity of the dust cake was measured and compared with the previous studies.

Original languageEnglish
Title of host publicationProceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning, ISHVAC 2019 - Volume 1
Subtitle of host publicationIndoor and Outdoor Environment
EditorsZhaojun Wang, Fang Wang, Peng Wang, Chao Shen, Jing Liu, Yingxin Zhu
PublisherSpringer
Pages173-180
Number of pages8
ISBN (Print)9789811395192
DOIs
Publication statusPublished - 1 Jan 2020
Event11th International Symposium on Heating, Ventilation and Air Conditioning, ISHVAC 2019 - Harbin, China
Duration: 12 Jul 201915 Jul 2019

Publication series

NameEnvironmental Science and Engineering
ISSN (Print)1863-5520
ISSN (Electronic)1863-5539

Conference

Conference11th International Symposium on Heating, Ventilation and Air Conditioning, ISHVAC 2019
CountryChina
CityHarbin
Period12/07/1915/07/19

Keywords

  • Dust loading
  • Particle size
  • PTFE membrane
  • Slip correction factor

ASJC Scopus subject areas

  • Environmental Engineering
  • Information Systems

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