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Computational fluid dynamic-discrete element method coupling analysis of particle transport in branched networks

Particuology 2021年第2期19卷 140-150页

作者： Xiaoyu Wang Jun Yao Liang Gong Yang Li Yongfei Yang Hongliang Zhao Research Center of Multiphase Flow in Porous Media China University of Petroleum(East China)Qingdao 266580China College of New Energy China University of Petroleum(East China)Qingdao 266580China Department of Oilfield Exploration&Development SinopecBeijing 100029China School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China

An understanding of the particle transport characteristics in a branched network helps to predict the particle distribution and prevent undesired plugging in various engineering *** analysis of particle flow characteristics is challenging in that experiments are expensive and particle flow is difficult to detect without disturbing the *** overcome this difficulty,man-made fractal tree-like branched networks were built,and a coupled computational fluid dynamic and discrete element method model was applied.A series of numerical simulations was carried out to analyze the influence of fractal structure parameters of networks on the particle flow *** joint influence of inertial,shunt capacity and superposition from upstream branches on particle flow was *** injection position at the inlet determined the particle velocity and its future flow *** particle density ratio,particle size and bifurcation angle had a greater influence on the shunting of K2 branches than that in the K1 level and N_(k22)/N_(k21) reached a maximum at 60°.Compared with a network with an even number of branches,there was a preferential branch when the branch number was *** preferential branch effect or asymmetry degree of the level(K2)branches had a more significant impact on particle shunting than that from the upstream branches(K1).

关键词： Particle-fluid flow CFD-DEM coupling branched network

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