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A CFD study of the deep bed filtration mechanism for submicronano-particle suspension

机译:CFD研究深床过滤机理的亚微米/纳米颗粒悬浮液

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摘要

The mechanism of the deep bed filtration for submicron and nano particles suspension was conducted by means of a force analysis on the suspended particles flow path through order-packed granular filter beds. The flow fields through the filter beds were calculated by using the commercial available CFD software - Fluent. Various types of granular packing structures, such as the simple cubic packing, body-centered packing and face-centered packing structures were chosen for analysis. The motion of suspended particle of 2.967, 0.816, 0.460 and 0.050 mum in diameter, respectively, were tracked by considering the following forces including a net gravitational force, hydraulic drag force, lift force, Brownian force, van der Waals force and a double layer force. The effects of the granular bed packing structure, the porosity of these beds and the suspended particle diameter on the capture efficiency of a granular filter bed were examined. The force analysis depicts that the inertial effect and van der Waals force increased the capture probability of particles on the granular filter bed while the lift force and the Brownian force decreased the particle deposition. Simulated results show that among the chosen packing structures, the face-center packed granular bed gives the greatest pressure drop and capture efficiency of particles due to the lower packing porosity. The simple cubic packed filter bed showed the lowest pressure drop and capture efficiency of particles due to the greatest packing porosity among the chosen packing structures. It is mainly due to the simple cubic packing structure in which there exists the free vertical downward flowing path and thus exhibits a higher packing porosity. The comparisons of the simulated capture efficiency with experimental results depicted that the body-centre packed granular bed showed the best approximation of capture efficiency compared to that of the randomly packed granular bed.
机译:通过对通过有序堆积的颗粒状滤床的悬浮颗粒流路进行力分析,对亚微米和纳米颗粒悬浮液进行深床过滤。使用商用CFD软件Fluent计算通过滤床的流场。选择了各种类型的粒状填料结构,例如简单的立方填料,体心填料和面心填料结构进行分析。通过考虑以下力来跟踪直径分别为2.967、0.816、0.460和0.050微米的悬浮颗粒的运动,包括净重力,水力阻力,升力,布朗力,范德华力和双层力力。检查了颗粒床填充结构,这些床的孔隙率和悬浮颗粒直径对颗粒滤床捕集效率的影响。力分析表明,惯性效应和范德华力提高了颗粒在颗粒滤床上的捕获概率,而提升力和布朗力降低了颗粒沉积。模拟结果表明,在所选择的填充结构中,由于较低的填充孔隙率,面心填充颗粒床具有最大的压降和颗粒捕获效率。由于所选填料结构中的最大填料孔隙率,简单的立方填料过滤床显示出最低的压降和颗粒捕获效率。这主要是由于简单的立方堆积结构,其中存在自由的垂直向下流动路径,因此表现出较高的堆积孔隙率。模拟捕获效率与实验结果的比较表明,与随机填充的颗粒床相比,体心填充的颗粒床显示出最佳的捕获效率近似值。

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