Modelling of filtration processes of fibrous filter media

Jorge A. Destephen, Kyung-Ju Choi
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引用次数: 28

Abstract

This work presents a stochastic approach, based on Monte Carlo method, to simulate liquid filtration processes through non-woven fibrous materials. The real filter material is represented as a multilayer medium with a network of multiply connected pores. To describe the deposition and resuspension of particles on and from the filter medium, the following four mechanisms were considered: particle capture by sieving, patricle capture by fibers; particle capture by blocked pores; and particle re-entrainment. The particle capture by fibers and blocked pores, and particle re-entrainment depend on the balance between the adhesion and removal forces. The adhesion forces for particles of diameter smaller than 20 μm were determined through the concept of London-Van Der Waals forces. For particles of diameter greater than 20 μm, gravitational forces were considered. Three-dimensional random flow was assumed to stimulate the particles motion through the multilayer medium. The pressure drop across the filter medium was calculated as the sum of the pressure drop across the clean filter plus the pressure drop due to the deposited particles.

A FORTRAN Program was developed to implement the filtration process model. For a wide range of typical filtration conditions, the calculated filter efficiencies predicted the experimental results with a percent difference between 0.5 and 19.3 depending on the particle size. The filter material capacities were predicted with an average discrepancy of 23.0%

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纤维过滤介质过滤过程的建模
这项工作提出了一种基于蒙特卡罗方法的随机方法,以模拟液体通过无纺布纤维材料的过滤过程。真正的过滤材料被表示为具有多个连接孔的网络的多层介质。为了描述颗粒在过滤介质上和从过滤介质中沉积和再悬浮,考虑了以下四种机制:通过筛分捕获颗粒,通过纤维捕获颗粒;堵塞孔隙捕获颗粒;还有粒子夹带。颗粒被纤维和堵塞的孔隙捕获和颗粒再夹带取决于粘附力和去除力之间的平衡。通过伦敦-范德华力的概念确定了直径小于20 μm的颗粒的粘附力。对于直径大于20 μm的颗粒,考虑重力作用。采用三维随机流动来模拟颗粒在多层介质中的运动。通过过滤介质的压降计算为通过干净过滤器的压降加上由于沉积颗粒的压降的总和。开发了一个FORTRAN程序来实现过滤过程模型。对于广泛的典型过滤条件,计算的过滤效率预测实验结果与0.5和19.3之间的百分比差异取决于颗粒的大小。预测的滤料容量平均偏差为23.0%
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