Determining random packing density and equivalent packing size of superballs via binary mixtures with spheres

2019 ◽  
Vol 202 ◽  
pp. 270-281 ◽  
Author(s):  
Lufeng Liu ◽  
Ye Yuan ◽  
Wei Deng ◽  
Shuixiang Li

An investigation has been carried out of the limiting packing density of an array of long straight rigid fibres distributed randomly in space as a function of the length of the fibre. We derive an approximate relationship between the limiting volume fraction V f and the slenderness λ of the fibres defined as length divided by diameter. The formula agrees well with our experimental results and those found in the literature.


1986 ◽  
Vol 23 (03) ◽  
pp. 688-695 ◽  
Author(s):  
Yoshiaki Itoh ◽  
Herbert Solomon

Here we introduce two simple models: simple cubic random packing and random packing by Hamming distance. Consider the packing density γ d of dimension d by cubic random packing. From computer simulations up to dimension 11, γ d +1/γ d seems to approach 1. Also, we give simulation results for random packing by Hamming distance and discuss the behavior of packing density when dimensionality is increased. For the case of Hamming distances of 2 or 3, d–α fits the simulation results of packing density where α is an empirical constant. The variance of packing density is larger when k is even and smaller when k is odd, where k represents Hamming distance.


Nature ◽  
1974 ◽  
Vol 252 (5480) ◽  
pp. 202-205 ◽  
Author(s):  
Keishi Gotoh ◽  
John L. Finney

1986 ◽  
Vol 23 (3) ◽  
pp. 688-695 ◽  
Author(s):  
Yoshiaki Itoh ◽  
Herbert Solomon

Here we introduce two simple models: simple cubic random packing and random packing by Hamming distance. Consider the packing density γ d of dimension d by cubic random packing. From computer simulations up to dimension 11, γ d+1/γ d seems to approach 1. Also, we give simulation results for random packing by Hamming distance and discuss the behavior of packing density when dimensionality is increased. For the case of Hamming distances of 2 or 3, d–α fits the simulation results of packing density where α is an empirical constant. The variance of packing density is larger when k is even and smaller when k is odd, where k represents Hamming distance.


2011 ◽  
Vol 208 (10) ◽  
pp. 2299-2302 ◽  
Author(s):  
Andriy V. Kyrylyuk ◽  
Albert P. Philipse

2012 ◽  
Vol 86 (3) ◽  
Author(s):  
Jian Zhao ◽  
Shuixiang Li ◽  
Weiwei Jin ◽  
Xuan Zhou

Nature ◽  
1975 ◽  
Vol 254 (5498) ◽  
pp. 318-319 ◽  
Author(s):  
YOSHIAKI AKEDA ◽  
MOTOO HORI

Materialia ◽  
2020 ◽  
Vol 12 ◽  
pp. 100750
Author(s):  
Hanqing Dai ◽  
Wenqian Xu ◽  
Zhe Hu ◽  
Yuanyuan Chen ◽  
Bobo Yang ◽  
...  

Nature ◽  
1965 ◽  
Vol 207 (4999) ◽  
pp. 835-837 ◽  
Author(s):  
S. YERAZUNIS ◽  
S. W. CORNELL ◽  
B. WINTNER

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