Simulation of random packing of spherical particles with different size distributions |
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Authors: | Yu Shi and Yuwen Zhang |
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Institution: | (1) Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO 65211, USA |
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Abstract: | A numerical model for a loose packing process of spherical particles is presented. The simulation model starts with randomly
choosing a sphere according to a pregenerated continuous particle-size distribution, and then dropping the sphere into a dimension-specified
box, and obtaining its final position by using dropping and rolling rules which are derived from a similar physical process
of spheres dropping in the gravitational field to minimize its gravity potential. Effects of three different particle-size
distributions on the packing structure were investigated. Analysis on the physical background of the powder-based manufacturing
process is additionally applied to produce optimal packing parameters of bimodal and Gaussian distributions to improve the
quality of the fabricated parts. The results showed that higher packing density can be obtained using bimodal size distribution
with a particle-size ratio from 1.5 to 2.0 and the mixture composition around n
2:n
1=6:4. For particle size with a Gaussian distribution, the particle radii should be limited in a narrow range around 0.67 to
1.5. |
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Keywords: | PACS" target="_blank">PACS 61 43 Bn 61 43 Gt |
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