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PM2.5 有效新型结构纤维过滤性能的数值计算与分析。

Numerical calculation and analysis of filtration performance of an effective novel structural fiber for PM2.5.

机构信息

College of Environmental Science and Engineering, Donghua University, Shanghai, China.

College of Energy and Building Environment, Guilin University of Aerospace Technology, Guilin, China.

出版信息

PLoS One. 2020 Oct 22;15(10):e0240941. doi: 10.1371/journal.pone.0240941. eCollection 2020.

Abstract

In this study, a novel fiber with slit-crescent-shaped cross-section is proposed to enhance the filtration performance of PM2.5 in fibrous filtration. The collection efficiency of this fiber is simulated by using a Brownian dynamics simulation technique, and its filtration pressure drop is obtained by numerically solving Navier-Stokes equation with Fluent software. A parametric study is performed to improve the optimum filtration performance of the slit-crescent-shaped fiber via adjusting its structural parameters (dimensionless center-to-center spacing and slit width). Results indicate that at the optimal condition, i.e., when dimensionless slit width ranges from 0.2 to 0.4, collection efficiency is enhanced by 13.1%-101.1% relative to the circular fiber for particles ranging from 0.1μm to 2.5μm for the slit-crescent-shaped fiber under various dimensionless center-to-center spacing, and filtration pressure drop is reduced by up to 14.4%. In addition, quality factor is introduced to evaluate the comprehensive filtration performance of the slit-crescent-shaped fiber with different structural parameters, and results show that large dimensionless slit width and small dimensionless center-to-center spacing lead to a much higher quality factor than the circular fiber, especially for particles lager than 0.5μm. The numerical results obtained in this work are conducive to designing high efficiency fibrous filters.

摘要

在这项研究中,提出了一种具有狭缝新月形横截面的新型纤维,以增强纤维过滤中对 PM2.5 的过滤性能。通过使用布朗动力学模拟技术模拟该纤维的收集效率,并通过使用 Fluent 软件数值求解纳维-斯托克斯方程来获得其过滤压降。通过调整其结构参数(无因次中心到中心间距和狭缝宽度)来进行参数研究,以改善狭缝新月形纤维的最佳过滤性能。结果表明,在最佳条件下,即当无因次狭缝宽度在 0.2 到 0.4 之间时,对于 0.1μm 到 2.5μm 之间的颗粒,与圆形纤维相比,狭缝新月形纤维的收集效率提高了 13.1%到 101.1%,而过滤压降降低了 14.4%。此外,引入质量因子来评估具有不同结构参数的狭缝新月形纤维的综合过滤性能,结果表明,较大的无因次狭缝宽度和较小的无因次中心到中心间距比圆形纤维导致更高的质量因子,特别是对于大于 0.5μm 的颗粒。本工作获得的数值结果有助于设计高效纤维过滤器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc6/7580886/4b84389f7e43/pone.0240941.g001.jpg

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