异形纤维阵列过滤特性的数值模拟

doi:10.16085/j.issn.1000-6613.2021-0123

摘要/Abstract

摘要：

为研究异形纤维排布方式对其过滤性能的影响，以矩形及交错排布为基础，在保持纤维体积分数不变的条件下，通过改变纤维的列间距调整阵列结构，运用CFD-DEM耦合方法对含尘空气通过具有不同异形纤维阵列结构的简化过滤器模型过程进行数值模拟。结果表明：当纤维的体积分数保持不变，交错纤维阵列较矩形阵列过滤效率高出35%，且对于颗粒的吸附力更强；而在交错阵列的基础上，调整列间距得到的前密阵列和后密阵列均可保持80%左右的过滤效率，且不影响颗粒吸附力的大小，但前密阵列产生的压降更低，即具有更高的品质因数；在整个过滤过程中，纤维-颗粒间的黏附作用远远高于颗粒与颗粒间的相互作用，说明颗粒过滤主要来源于纤维-颗粒作用的贡献。

关键词: 异形纤维, 过滤, 纤维阵列, 计算流体力学-离散单元法, 排布方式

Abstract:

In order to study the influence of the arrangement of special-shaped fibers on its filtration performance, based on the rectangular and staggered arrangement, and keeping the volume fraction of fibers unchanged, the array structure was adjusted by changing the column spacing of fibers. CFD-DEM coupling method was used to simulate the process of dusty air passing through a simplified filter model with different special-shaped fiber array structures. The results showed that when the volume fraction of fiber remained unchanged, the filtration efficiency of staggered fiber array was 35% higher than that of rectangular array, and the adsorption capacity for particles was stronger. On the basis of staggered array, the filtration of the pre-dense array and post-dense array can be maintained at about 80% by adjusting the column spacing, and the particle adsorption capacity was not affected, but the pressure drop generated by the pre-dense array was lower, that is, it has a higher quality factor. In the whole filtration process, the adhesion between fibers and particles was much higher than the interaction between particles, which indicated that particle filtration mainly came from the contribution of fiber particle interaction.

Key words: profiled fiber, filtration, fiber array, CFD-DEM, layout

中图分类号:

TQ 022

王戈, 孙志伟, 谭蔚, 邱威, 朱国瑞. 异形纤维阵列过滤特性的数值模拟[J]. 化工进展, 2022, 41(1): 30-39.

WANG Ge, SUN Zhiwei, TAN Wei, QIU Wei, ZHU Guorui. Numerical simulation of filtration characteristics on profiled fiber array[J]. Chemical Industry and Engineering Progress, 2022, 41(1): 30-39.

图/表 19

图1 异形纤维截面

图2 矩形纤维阵列及过滤腔

图3 交错纤维阵列

图4 两种交错纤维阵列的排布

图5 颗粒接触力

表1 颗粒与纤维物理参数

参数	泊松比	剪切模量/Pa	密度/kg·m^-3
颗粒	0.25	2×10⁸	2000
纤维	0.21	2×10¹⁰	910

表2 颗粒与纤维相互作用参数

参数	恢复系数	静摩擦系数	滚动摩擦系数
颗粒与颗粒	0.5	0.2	0.1
颗粒与纤维	0.3	0.2	0.1

图6 不同时刻下矩形纤维阵列的过滤效果

图7 不同时刻下交错纤维阵列的过滤效果

图8 前密阵列的过滤效果

图9 后密阵列的过滤效果

图10 不同接触间法向力随时间变化曲线

图11 过滤颗粒数对比

图12 过滤效率对比

图13 品质因数随时间变化曲线

图14 矩形阵列过滤过程压力云图

图15 交错阵列过滤过程压力云图

图16 前密阵列过滤过程压力云图

图17 后密阵列过滤过程压力云图

参考文献 30

1	MADDINENI A K, DAS D, DAMODARAN R M. Air-borne particle capture by fibrous filter media under collision effect: a CFD-based approach [J]. Separation and Purification Technology, 2018, 193: 1-10.
2	WANG Haoming, ZHAO Haibo, GUO Zhaoli, et al. Numerical simulation of particle capture process of fibrous filters using Lattice Boltzmann two-phase flow model [J]. Powder Technology, 2012, 227: 111-122.
3	WANG Haoming, ZHAO Haibo, WANG Kun, et al. Simulation of filtration process for multi-fiber filter using the Lattice-Boltzmann two-phase flow model [J]. Journal of Aerosol Science, 2013, 66: 164-178.
4	HOU L, ZHOU A, HE X, et al. CFD simulation of the filtration performance of fibrous filter considering fiber electric potential field [J]. Transactions of Tianjin University, 2019, 25(5): 437-450.
5	LIU Xingcheng, SHEN Henggen, NIE Xueli. Study on the filtration performance of the baghouse filters for ultra-low emission as a function of filter pore size and fiber diameter [J]. International Journal of Environmental Research and Public Health, 2019, 16(2): 247-265.
6	LIU C, HSU P C, LEE H W, et al. Transparent air filter for high-efficiency PM_2.5 capture [J]. Nature Communications, 2015, 6: 6205.
7	LI Wei, SHEN Shengnan, LI Hui. Study and optimization of the filtration performance of multi-fiber filter [J]. Advanced Powder Technology, 2016, 27(2): 638-645.
8	ALEXANDRESCU L, SYVERUD K, NICOSIA A, et al. Airborne nanoparticles filtration by means of cellulose nanofibril based materials [J]. Journal of Biomaterials and Nanobiotechnology, 2016, 7(1): 29-36.
9	KUWABARA S. The forces experienced by randomly distributed parallel circular cylinders or spheres in a viscous flow at small Reynolds numbers [J]. Journal of the Physical Society of Japan, 1959, 14(4): 527-532.
10	HAPPEL J. Viscous flow relative to arrays of cylinders [J]. AIChE Journal, 1959, 5(2): 174-177.
11	SPURNY K R. Advances in aerosol gas filtration [M]. Boca Raton: Lewis Publishers, 1998: 25-41.
12	LI Yongcheng, PARK C W. Effective medium approximation and deposition of colloidal particles in fibrous and granular media [J]. Advances in Colloid and Interface Science, 2000, 87(1): 1-74.
13	LIU X F, WEI A Y, LUO K, et al. Numerical study of the effects of particles on the near wake around a circular cylinder[J]. International Journal of Computational Fluid Dynamics, 2015, 29(2): 150-160.
14	DAVIES C N. Air filtration [M]. London: Academic Press, 1973: 45-48.
15	FRIEDLANDER S K, MARLOW W H. Smoke, dust and haze: fundamentals of aerosol behavior [J]. Physics Today, 1977, 30(9): 58-59.
16	LI S Q, MARSHALL J S. Discrete element simulation of micro-particle deposition on a cylindrical fiber in an array [J]. Journal of Aerosol Science, 2007, 38(10): 1031-1046.
17	YANG Mengmeng, LI Shuiqing, YAO Qiang. Mechanistic studies of initial deposition of fine adhesive particles on a fiber using discrete-element methods [J]. Powder Technology, 2013, 248: 44-53.
18	WANG J, PUI D Y H. Filtration of aerosol particles by elliptical fibers: a numerical study [J]. Journal of Nanoparticle Research, 2009, 11(1): 185-196.
19	朱小洁. 纤维过滤介质结构模型的三维重建及其过滤特性的数值模拟[D]. 马鞍山: 安徽工业大学, 2013.
	ZHU Xiaojie. 3D reconstruction of the structural model of fibrous media and numerical simulation its filtration characteristics [D]. Maanshan: Anhui University of Technology, 2013.
20	QIAN Fuping, HUANG Naijin, ZHU Xiaojie, et al. Numerical study of the gas-solid flow characteristic of fibrous media based on SEM using CFD-DEM [J]. Powder Technology, 2013, 249: 63-70.
21	TAO R, YANG M M, LI S Q. Filtration of micro-particles within multi-fiber arrays by adhesive DEM-CFD simulation [J]. Journal of Zhejiang University: Science A, 2018, 19(1): 34-44.
22	王亮. 纤维过滤捕集效率模拟及特性研究[D]. 上海: 东华大学, 2014.
	WANG Liang. Numerical simulation collection efficiency and performance of fibrous fibers [D]. Shanghai: Donghua University, 2014.
23	郝青青. 异形纤维在过滤纸中的应用研究[D]. 广州: 华南理工大学, 2018.
	HAO Qingqing. Applied research of profiled fiber in filter paper [D]. Guangzhou: South China University of Technology, 2018.
24	WANG K, ZHAO H B. The influence of fiber geometry and orientation angle on filtration performance [J]. Aerosol Science and Technology, 2015, 49(2): 75-85.
25	HUANG Haokai, WANG Kun, ZHAO Haibo. Numerical study of pressure drop and diffusional collection efficiency of several typical noncircular fibers in filtration [J]. Powder Technology, 2016, 292: 232-241.
26	黄浩凯, 赵海波. 格子Boltzmann方法研究椭圆截面纤维非稳态过滤的捕集过程与性能[J]. 工程热物理学报, 2019, 40(4): 813-820.
	HUANG Haokai, ZHAO Haibo. Numerical simulation of non-steady-state filtration process and performance of elliptical fibers using lattice model [J]. Journal of Engineering Thermophysics, 2019, 40(4): 813-820.
27	杨会, 朱辉, 陈永平, 等. 方形截面纤维表面气溶胶粒子多机理过滤性能数值分析[J]. 过程工程学报, 2020, 20(4): 400-409.
	HUI Y, HUI Z, CHEN Y P, et al. Numerical analysis of multi-mechanism filtration performance by square fibers for aerosol particles [J]. The Chinese Journal of Process Engineering, 2020, 20(4): 400-409.
28	朱辉, 杨会, 付海明, 等. 椭圆纤维过滤压降与惯性捕集效率数值分析[J]. 中国环境科学, 2019, 39(2): 565-573.
	ZHU Hui, YANG Hui, FU Haiming, et al. Numerical analysis of filtration pressure drop and inertial collection efficiency for elliptical fibers [J]. China Environmental Science, 2019, 39(2): 565-573.
29	武涛, 黄伟凤, 陈学深, 等. 考虑颗粒间黏结力的黏性土壤离散元模型参数标定[J]. 华南农业大学学报, 2017, 38(3): 93-98.
	WU T, HUANG W F, CHEN X S, et al. Calibration of discrete element model parameters for cohesive soil considering the cohesion between particles [J]. Journal of South China Agricultural University, 2017, 38(3): 93-98.
30	JOHNSON K L, KENDALL K, ROBERTS A D. Surface energy and the contact of elastic solids [J]. Mathematical and Physical Sciences, 1971, 324(1558): 301-313.

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