Shear-induced particle segregation in binary mixtures: Verification of a percolation theory

被引:6
|
作者
Tirapelle, Monica [1 ]
Volpato, Silvia [1 ]
Santomaso, Andrea C. [1 ]
机构
[1] Univ Padua, Dept Ind Engn, APTLab Adv Particle Technol Lab, Via Marzolo 9, I-35131 Padua, Italy
关键词
Discrete element method; Shear-induced percolation; Segregation; Parameter sensitivity analysis; Percolation model; SIMULATION; FLOW; MODELS; DEM;
D O I
10.1016/j.partic.2021.01.005
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Granular materials composed of different-sized grains may experience undesired segregation. Segregation is detrimental for a lot of industries because it leads to an increase in production costs and wastes. For these reasons, the segregation phenomena have been intensively studied in the last decades, and a lot of models have been provided by many researchers. However, these models are mainly based on empirical relations rather than physical considerations. This paper aims to confirm the main assumptions made by Volpato, Tirapelle, and Santomaso (2020) in their percolation theory by means of DEM simulations. The simulated geometry is a tilting shear box filled with few tracer particles in a bed of coarser sized grains, and simulations are performed for a range of tilting frequencies and size ratios. The results provide meaningful insight on the mathematical model parameters and allow us to say that the percolation theory relies on physically consistent assumptions. (C) 2021 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:214 / 222
页数:9
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