Computer simulation of the packing of fine particles

R. Y. Yang, R. P. Zou, A. B. Yu

Research output: Contribution to journalArticleResearchpeer-review

312 Citations (Scopus)

Abstract

Distinct element method (DEM) based dynamic simulations were carried out to quantify the packing structure in relation to particle size and van der Walls and electrostatic forces. These forces were supposed to effect the packing of fine particles. The effect of particle size on the particle packing was quantified in terms of porosity, radial distribution function, angular distribution, and coordination number. Porosity was found to increase with the decrease of particle size from 100 to 1 μ. The linking of macroscopic to microscopic properties for the packing of fine particles was done using the relation between porosity and van der Wall forces.

Original languageEnglish
Pages (from-to)3900-3908
Number of pages9
JournalPhysical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
Volume62
Issue number3 B
DOIs
Publication statusPublished - Sep 2000
Externally publishedYes

Cite this

@article{882c4e42e0924431aaccc681d3b88d48,
title = "Computer simulation of the packing of fine particles",
abstract = "Distinct element method (DEM) based dynamic simulations were carried out to quantify the packing structure in relation to particle size and van der Walls and electrostatic forces. These forces were supposed to effect the packing of fine particles. The effect of particle size on the particle packing was quantified in terms of porosity, radial distribution function, angular distribution, and coordination number. Porosity was found to increase with the decrease of particle size from 100 to 1 μ. The linking of macroscopic to microscopic properties for the packing of fine particles was done using the relation between porosity and van der Wall forces.",
author = "Yang, {R. Y.} and Zou, {R. P.} and Yu, {A. B.}",
year = "2000",
month = "9",
doi = "10.1103/PhysRevE.62.3900",
language = "English",
volume = "62",
pages = "3900--3908",
journal = "Physical Review E - Covering Statistical, Nonlinear, Biological, and Soft Matter Physics",
issn = "2470-0045",
publisher = "American Physical Society",
number = "3 B",

}

Computer simulation of the packing of fine particles. / Yang, R. Y.; Zou, R. P.; Yu, A. B.

In: Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, Vol. 62, No. 3 B, 09.2000, p. 3900-3908.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Computer simulation of the packing of fine particles

AU - Yang, R. Y.

AU - Zou, R. P.

AU - Yu, A. B.

PY - 2000/9

Y1 - 2000/9

N2 - Distinct element method (DEM) based dynamic simulations were carried out to quantify the packing structure in relation to particle size and van der Walls and electrostatic forces. These forces were supposed to effect the packing of fine particles. The effect of particle size on the particle packing was quantified in terms of porosity, radial distribution function, angular distribution, and coordination number. Porosity was found to increase with the decrease of particle size from 100 to 1 μ. The linking of macroscopic to microscopic properties for the packing of fine particles was done using the relation between porosity and van der Wall forces.

AB - Distinct element method (DEM) based dynamic simulations were carried out to quantify the packing structure in relation to particle size and van der Walls and electrostatic forces. These forces were supposed to effect the packing of fine particles. The effect of particle size on the particle packing was quantified in terms of porosity, radial distribution function, angular distribution, and coordination number. Porosity was found to increase with the decrease of particle size from 100 to 1 μ. The linking of macroscopic to microscopic properties for the packing of fine particles was done using the relation between porosity and van der Wall forces.

UR - http://www.scopus.com/inward/record.url?scp=0034270029&partnerID=8YFLogxK

U2 - 10.1103/PhysRevE.62.3900

DO - 10.1103/PhysRevE.62.3900

M3 - Article

AN - SCOPUS:0034270029

VL - 62

SP - 3900

EP - 3908

JO - Physical Review E - Covering Statistical, Nonlinear, Biological, and Soft Matter Physics

JF - Physical Review E - Covering Statistical, Nonlinear, Biological, and Soft Matter Physics

SN - 2470-0045

IS - 3 B

ER -