TY - JOUR
T1 - Voronoi analysis of the packings of non-spherical particles
AU - Dong, Kejun
AU - Wang, Chuncheng
AU - Yu, Aibing
PY - 2016
Y1 - 2016
N2 - We present a structural analysis of the packings of identical non-spherical articles based on Voronoi cells. The packings are generated by discrete element method (DEM) simulations. The particles include axisymmetric ellipsoidal particles from oblates to prolates and cylindrical particles from disks to rods. The Voronoi cells are constructed by virtue of space discretization and surface reconstruction, which is shown to be universal for different shapes. The effects of particle aspect ratio and sliding friction coefficient on the properties of Voronoi cells, including the reduced volume, reduced surface area and sphericity, are quantified. The reduced volume and surface area are found to observe log-normal distributions, while their mean values and standard deviations have different dependencies on particle shape and friction. By analyzing the correlations and using inherent relationships between different Voronoi cell properties, we establish a group of universal equations to predict these distributions according to particle sphericity and overall packing fraction. Such findings can not only improve our understanding on the packings of non-spherical particles but also provide a basis for evaluating the transport properties and advancing the statistical mechanics theory for granular matter composed of non-spherical particles.
AB - We present a structural analysis of the packings of identical non-spherical articles based on Voronoi cells. The packings are generated by discrete element method (DEM) simulations. The particles include axisymmetric ellipsoidal particles from oblates to prolates and cylindrical particles from disks to rods. The Voronoi cells are constructed by virtue of space discretization and surface reconstruction, which is shown to be universal for different shapes. The effects of particle aspect ratio and sliding friction coefficient on the properties of Voronoi cells, including the reduced volume, reduced surface area and sphericity, are quantified. The reduced volume and surface area are found to observe log-normal distributions, while their mean values and standard deviations have different dependencies on particle shape and friction. By analyzing the correlations and using inherent relationships between different Voronoi cell properties, we establish a group of universal equations to predict these distributions according to particle sphericity and overall packing fraction. Such findings can not only improve our understanding on the packings of non-spherical particles but also provide a basis for evaluating the transport properties and advancing the statistical mechanics theory for granular matter composed of non-spherical particles.
KW - Particle packing
KW - Particle shape
KW - Structural analysis
KW - Voronoi analysis
KW - Discrete element method
UR - https://www-scopus-com.ezproxy.lib.monash.edu.au/record/display.uri?eid=2-s2.0-84979895711&origin=resultslist&sort=plf-f&src=s&st1=10.1016%2fj.ces.2016.07.013&st2=&sid=5409F5528CEAFA3C7AE07DB3A6F3D96B.y7ESLndDIsN8cE7qwvy6w%3a20&sot=b&sdt=b&sl=30&s=DOI%2810.1016%2fj.ces.2016.07.013%29&relpos=0&citeCnt=0&searchTerm=
U2 - 10.1016/j.ces.2016.07.013
DO - 10.1016/j.ces.2016.07.013
M3 - Article
SN - 0009-2509
VL - 153
SP - 330
EP - 343
JO - Chemical Engineering Science
JF - Chemical Engineering Science
ER -