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用于增强深度过滤和降低压降的层内和层间空间的实验与计算研究

Experimental and Computational Investigation of Intra- and Interlayer Space for Enhanced Depth Filtration and Reduced Pressure Drop.

作者信息

Roh Sanghyun, Song Minwoo, Lee Kyeongeun, Park Kangsoo, Kim Jooyoun

机构信息

Department of Textiles, Merchandising and Fashion Design, Seoul National University, Seoul 08826, Korea.

Reliability Assessment Center, FITI Testing & Research Institute, Seoul 07791, Korea.

出版信息

ACS Appl Mater Interfaces. 2020 Oct 14;12(41):46804-46815. doi: 10.1021/acsami.0c14958. Epub 2020 Sep 29.

DOI:10.1021/acsami.0c14958
PMID:32990419
Abstract

The buildup of pressure drop with mass loading of particles aggravates the breathing resistance and energy consumption of filters. This study investigated the role of intra- and interlayer space of filter media on the pressure drop development with continued particle loading. Five basic morphologies, including microfibers, nanofibers, microbeads-on-strings, and a mix of those morphologies were fabricated via electrospinning. Then the variations of layered constructions were made, to include a total 14 different filter structures. For a single layer filter media, the pore size rather than the percent porosity had a major impact on the pressure drop. For dual layers, the space between the layers and the placement order of webs were important factors affecting the pressure drop and depth loading of particles. Computational modeling was used to interpret the role of the interlayer space on the pressure drop, by monitoring the air flow and particle movement within the filter constructions, where the computational prediction corresponded to the tendency of the experimental findings. The novelty of this study lies in the combined approach of the experimental and computational work to understand the particle capture phenomenon during the mass loading.

摘要

随着颗粒质量负载导致的压降增加,会加剧过滤器的呼吸阻力和能量消耗。本研究调查了过滤介质的层内和层间空间在持续颗粒负载时对压降发展的作用。通过静电纺丝制备了五种基本形态,包括微纤维、纳米纤维、串珠以及这些形态的混合形态。然后对层状结构进行了变化,共得到14种不同的过滤结构。对于单层过滤介质,孔径而非孔隙率百分比对压降有主要影响。对于双层结构,层间空间和纤维网的放置顺序是影响压降和颗粒深度负载的重要因素。通过监测过滤器结构内的气流和颗粒运动,利用计算建模来解释层间空间对压降的作用,计算预测与实验结果趋势相符。本研究的新颖之处在于采用实验和计算相结合的方法来理解质量负载过程中的颗粒捕获现象。

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