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Journal of Zhejiang University SCIENCE A

ISSN 1673-565X(Print), 1862-1775(Online), Monthly

Filtration of micro-particles within multi-fiber arrays by adhesive DEM-CFD simulation

Abstract: A 3D multi-time scale discrete element method-computational fluid dynamic (DEM-CFD) coupling approach was applied to investigate the filtration of micron-sized particles by different types of fiber arrays. Both the pressure drop and the filtration efficiency were examined to indicate the filtration performance of the fiber arrays. Fibers that were uniformly arrayed in a parallel or staggered manner were compared. Results showed that the staggered array showed a better performance than the parallel array in terms of both pressure drop and filtration efficiency. Further, we compared the performance of different staggered arrays, i.e. a regular case, one densified in the front layers and another densified in the back layers. The front densified array was found to enter the clogging and cake filtration stage in the shortest time, leading to the highest filtration efficiency, but the highest pressure drop. The back densified array still achieved a much higher filtration efficiency, despite a much lower pressure drop comparable to that of the regular array. The results suggest that the two kinds of densified arrays may be suited for different purposes, e.g. baghouse filters or breathing masks.

Key words: Filtration; Fiber arrays; Staggered arrays; Discrete element method (DEM)

Chinese Summary  <39> 离散元-计算流体动力学耦合方法模拟多纤维阵列过滤微米级颗粒

目的:微米细颗粒在不同纤维排列所组成的滤料中的沉积和穿透行为仍然缺少研究.本文通过离散元-计算流体动力学耦合(DEM-CFD)双向耦合方法,研究前加密、后加密以及规则错列阵列纤维在过滤压降和捕捉效率方面的特性.
创新点:1. 使用DEM-CFD流固双向耦合方法,建立了适用于多纤维阵列过滤微米颗粒的数值模拟方法;2. 得到并对比了不同排列形式的过滤压降和捕捉效率.
方法:1. 通过数值模拟,得到顺列和错列排布纤维的过滤压降及捕捉效率(图2和3、表2);2. 通过数值模拟,分析前加密、后加密错列排布纤维与规则错列排列纤维的优劣(图6和7),并得出颗粒在滤料中的沉积分布(图8).
结论:1. 错列纤维比顺列纤维提前进入堵塞期,在沉积相同颗粒数时具有更低的压降,且在清洁滤料期具有更高的捕捉效率;2. 前加密错列排布比后加密错列排布更早进入堵塞期,且总体穿透颗粒数量更少;3. 前加密错列排布适用于工业滤料,而后加密错列排布适用于一次性个人防护用品.

关键词组:滤料过滤;纤维阵列;错列;离散元方法


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DOI:

10.1631/jzus.A1700156

CLC number:

TK09

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On-line Access:

2024-08-27

Received:

2023-10-17

Revision Accepted:

2024-05-08

Crosschecked:

2017-12-15

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