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Effects of three different network models on the filter coefficient of brownian particles

机译：三种不同网络模型对布朗粒子滤波系数的影响

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摘要

The dynamic behavior of granular filtration is investigated in the present paper by using the Brownian dynamic simulation method to track the individual particles moving through the 2-D network model of porous media in the filter bed.The scope includes three different network structures,modified square,triangular and honeycomb,all with the same initial permeability,and two types of DLVO interaction energy curves.The specific filtration functions of F_1(alpha',sigma) and F_2{beta',sigma) are determined from the breakthrough curve of effluent concentration and the pressure drop.When comparing those three different network models with the same interaction energy curve,it is found that the honeycomb network can filtrate particles the easiest,because of its lowest coordination number,so its corresponded specific deposit sigma is the highest.When comparing with the available experimental data under the unfavorable deposition conditions,it is found that the present triangular network gives smaller discrepancy than that of the convective diffusion model.
机译：本文通过布朗动力学模拟方法研究了颗粒过滤的动力学行为，通过跟踪动力学模型来跟踪单个颗粒通过滤床中多孔介质二维网络模型的过程。范围包括三种不同的网络结构，改进的正方形，三角形和蜂窝状，都具有相同的初始渗透率，并且有两种类型的DLVO相互作用能曲线。根据废水浓度的穿透曲线确定F_1（alpha'，sigma）和F_2 {beta'，sigma）的比过滤函数当比较具有相同相互作用能曲线的这三种不同的网络模型时，发现蜂窝网络最容易过滤颗粒，因为它的配位数最低，因此其对应的比沉积σ最大。在不利的沉积条件下，与现有的实验数据进行比较，发现目前的三角网络给定了与对流扩散模型相比，Aller差异更大。

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