Micro-scale study on flow dynamics and clogging of poly-dispersed particles in porous media

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Computational Particle Mechanics Pub Date : 2024-04-22 DOI:10.1007/s40571-024-00741-y
D. Sun
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Abstract

Migration of particles in porous media is confined by the structure of the porous media, which results in the clogging of particles in porous media and the alteration of the topology of porous media. Particle clogging is primarily determined by the size of particles and topology of porous media. The recent micro-scale research on the migration of mono-size particles in the saturated porous media showed that the particle clogging occurred when the Stokes number of particles in the porous medium was larger than 1, and the local volume fraction and diameter of particles were higher. In this study, the fluid dynamics of poly-dispersed particles were studied on migration and clogging of particles in a porous medium. The effect of the larger particles in poly-dispersed particles was investigated and discovered to be the primary element determining the fluid dynamics and clogging of poly-disperse particles in porous media. The particle clusters with larger particles surrounded by smaller particles and velocity difference between each size of particles in poly-disperse distribution can increase the local volume fraction of particles and result in the particle clogging.

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多孔介质中多分散颗粒的流动动力学和堵塞的微尺度研究
颗粒在多孔介质中的迁移受到多孔介质结构的限制,导致颗粒在多孔介质中的堵塞和多孔介质拓扑结构的改变。颗粒堵塞主要取决于颗粒的大小和多孔介质的拓扑结构。近年来对饱和多孔介质中单粒径颗粒运移的微观研究表明,当多孔介质中颗粒的Stokes数大于1时,颗粒的局部体积分数和直径都较高,会发生颗粒堵塞。本文对多孔介质中多分散颗粒的运移和堵塞进行了流体动力学研究。对多分散颗粒中较大颗粒的影响进行了研究,发现大颗粒是决定多分散颗粒在多孔介质中流体动力学和堵塞的主要因素。大颗粒被小颗粒包围的颗粒团簇以及多分散分布中不同粒径颗粒之间的速度差会增加颗粒的局部体积分数,导致颗粒堵塞。
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来源期刊
Computational Particle Mechanics
Computational Particle Mechanics Mathematics-Computational Mathematics
CiteScore
5.70
自引率
9.10%
发文量
75
期刊介绍: GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
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