Numerical simulation of filtration characteristics on profiled fiber array

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

Abstract

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

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

CLC Number:

TQ 022

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.

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.

Figures/Tables 19

References 30

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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

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

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

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

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