A quasi-physical method for random packing of spherical particles

被引:8
作者
Chen, Zongli [1 ]
Zhao, Ying [1 ]
机构
[1] Tongji Univ, Sch Aerosp Engn & Appl Mech, Shanghai 200092, Peoples R China
基金
中国国家自然科学基金;
关键词
Quasi-physical method; Spherical particles; Packing density; DEM SIMULATION; DENSIFICATION; MIXTURES; POROSITY; DENSITY; PREDICTION; SPHERES;
D O I
10.1016/j.powtec.2022.118002
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In this work, a quasi-physical method for the random packing of spherical particles based on the equivalent spring structure and the principle of force equilibrium is proposed. The model is inspired by a meshing method "Distmesh". For the purpose of generating a feasible packing, the proposed model calculates the displacements of each particle based on physical principles and disregards forces that may not help with convergence, thus offering a natural and possibly fast route towards the final packing configuration. The packing densities predicted by the proposed method are in good agreement with those predicted by other methods and the experimental results. Finally, the topological properties of the packing of particles with log-normal size distributions, binary mixtures and ternary mixtures are evaluated by radical tessellation. The results show that the particle size differences and the proportions of each kind of particles have significant effect on the packing properties of the mixture.
引用
收藏
页数:12
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共 53 条
[1]   Simulation of random packing of polydisperse particles [J].
Al-Raoush, Riyadh ;
Alsaleh, Mustafa .
POWDER TECHNOLOGY, 2007, 176 (01) :47-55
[2]   A comparison of model prediction from P2D and particle packing with experiment [J].
An, Fuqiang ;
Zhou, Weinan ;
Li, Ping .
ELECTROCHIMICA ACTA, 2021, 370
[3]   Experimental study on the 3D vibrated packing densification of binary sphere mixtures [J].
An, Xizhong ;
Li, Chao ;
Qian, Quan .
PARTICUOLOGY, 2016, 27 :110-114
[4]   Porous Electrode Materials for Lithium-Ion Batteries - How to Prepare Them and What Makes Them Special [J].
Anh Vu ;
Qian, Yuqiang ;
Stein, Andreas .
ADVANCED ENERGY MATERIALS, 2012, 2 (09) :1056-1085
[5]   Impact of Particle Size Distribution on Performance of Lithium-Ion Batteries [J].
Blaeubaum, Lars ;
Roeder, Fridolin ;
Nowak, Christine ;
Chan, Hoon Seng ;
Kwade, Arno ;
Krewer, Ulrike .
CHEMELECTROCHEM, 2020, 7 (23) :4755-4766
[6]  
Burtseva L.S., 2015, Multi-Sized Sphere Packings_ Models and Recent Approaches
[7]   STRUCTURAL-CHANGES ACCOMPANYING DENSIFICATION OF RANDOM HARD-SPHERE PACKINGS [J].
CLARKE, AS ;
JONSSON, H .
PHYSICAL REVIEW E, 1993, 47 (06) :3975-3984
[8]   NUMERICAL-SIMULATION OF THE DENSE RANDOM PACKING OF A BINARY MIXTURE OF HARD-SPHERES - AMORPHOUS METALS [J].
CLARKE, AS ;
WILEY, JD .
PHYSICAL REVIEW B, 1987, 35 (14) :7350-7356
[9]  
Ding X.J., 2014, FRONTIERS ADV MAT EN, V912-914, P1353, DOI 10.4028/www.scientific.net/amr.912-914.1353
[10]   A discrete element study of the effect of particle shape on packing density of fine and cohesive powders [J].
Elmsahli, H. S. ;
Sinka, I. C. .
COMPUTATIONAL PARTICLE MECHANICS, 2021, 8 (02) :183-200