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Approximation of most penetrating particle size for fibrous filters considering Cunningham slip correction factor

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Title
Approximation of most penetrating particle size for fibrous filters considering Cunningham slip correction factor
Other Titles
Cunningham slip 보정계수를 고려한 입자의 섬우질 필터 투과 효율 예측
Authors
Jung, Chang Hoon
Yoon, Young Jun
Um, Junshik
Lee, Seoung Soo
Lee, Ji Yi
Chiao, Sen
Kim, Yong Pyo
Subject
EngineeringEnvironmental Sciences & Ecology
Keywords
Aerosol single fiber efficiencyCunningham slip correction factorFibrous collectorMinimum single fiber efficiencyMost penetrating particle size
Issue Date
2020-06
Citation
Jung, Chang Hoon, et al. 2020. "Approximation of most penetrating particle size for fibrous filters considering Cunningham slip correction factor". ENVIRONMENTAL ENGINEERING RESEARCH, 25(3): 439-445.
Abstract
In the estimation of the aerosol collection efficiency using fibrous filters, there exist a size range where particles in fibrous collectors penetrate most effectively, and a corresponding minimum collection efficiency. For small particles, for which the diffusion mechanism is dominant, the Cunningham slip correction factor affects the collection efficiency and the most penetrating particle size. Therefore, for the accurate estimation, the Cunningham slip correction factor should be considered. However, many previous studies have ignored the Cunningham slip correction factor because of its complexity and the associated difficulty in deriving appropriate parameterization, especially for the most penetrating particle size. In this study, the analytic expression for the most penetrating particle size and the corresponding expression for the minimum collection efficiency were analytically derived; furthermore, the effects of the Cunningham slip correction factor were determined. To accommodate the slip factor for all particle size ranges, the Cunningham slip correction factor was simplified and modified. The obtained analytic expression for the most penetrating particle size showed a good agreement with the exact solution.
URI
https://repository.kopri.re.kr/handle/201206/12965
DOI
http://dx.doi.org/10.4491/eer.2019.058
Type
Article
Station
기타(에어로졸 수치 모델)
Indexed
SCIE
Appears in Collections  
2019-2019, Arctic permafrost environment change monitoring and prediction method developments (19-19) / Lee, Bang Yong (PN19081)
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