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Article . 2020 . Peer-reviewed
License: Elsevier TDM
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DEM simulation of cubical particle percolation in a packed bed

Authors: Mingyin Kou; Heng Zhou; Shengli Wu; Yansong Shen;

DEM simulation of cubical particle percolation in a packed bed

Abstract

Abstract In this paper, percolation of cubical particles through a packed bed is studied using discrete element method (DEM). The influences of some key variables e.g. restitution coefficient, sliding coefficient, rolling coefficient and diameter ratio on cubical particles percolation behaviour were comprehensively analyzed. The results show that, compared with the sphere particles, cubical particles also have a constant vertical velocity during percolating in the packed bed, but it has a larger percolation velocity and a less off-center of radial distance. Restitution coefficient affects the cube percolation behaviour. With increasing the restitution coefficient, the percolation velocity decreases, but the radial dispersion coefficient increases. Effects of sliding friction coefficient and rolling friction coefficient show the same tendency. The percolation velocity and radial dispersion decrease with the increase of friction coefficient. The ratio of cubical particle diameter to packing particle diameter (diameter ratio) is another dominant variable that significantly affect the percolation behaviour. The percolation velocity and radial dispersion coefficient increases with decreasing the diameter ratio. The simulations are useful for understanding percolation and segregation of multi-scale cubical materials and optimization in cubical particles handling and mixing.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Average
Top 10%