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Performance prediction of PM 2.5 removal of real fibrous filters with a novel model considering rebound effect (EI收录)
Cai, Rong-Rong[1]; Zhang, Li-Zhi[1]; Yan, Yuying[2]
刊名Applied Thermal Engineering
2017
卷号111页码:1536-1547
关键词Bandpass filters Cost effectiveness Efficiency Forecasting Materials properties Particle size Particles (particulate matter)
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内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2183825
专题华南理工大学
作者单位1.[1] Key Laboratory of Enhanced Heat Transfer and Energy Conservation of Education Ministry, School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou
2.510640, China
3.[2] Fluids & Thermal Engineering Research Group, Faculty of Engineering, University of Nottingham, Nottingham
4.NG7 2RD, United Kingdom
推荐引用方式
GB/T 7714
Cai, Rong-Rong[1],Zhang, Li-Zhi[1],Yan, Yuying[2]. Performance prediction of PM 2.5 removal of real fibrous filters with a novel model considering rebound effect (EI收录)[J]. Applied Thermal Engineering,2017,111:1536-1547.
APA Cai, Rong-Rong[1],Zhang, Li-Zhi[1],&Yan, Yuying[2].(2017).Performance prediction of PM 2.5 removal of real fibrous filters with a novel model considering rebound effect (EI收录).Applied Thermal Engineering,111,1536-1547.
MLA Cai, Rong-Rong[1],et al."Performance prediction of PM 2.5 removal of real fibrous filters with a novel model considering rebound effect (EI收录)".Applied Thermal Engineering 111(2017):1536-1547.
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