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Home > Journals > SCIREA Journal of Materials > Archive > Paper Information

Numerical Investigation of Formation of Granular Matters Composed of Bimodal Particles

Volume 5, Issue 1, February 2020    |    PP. 1-16    |PDF (446 K)|    Pub. Date: May 10, 2020
24 Downloads     159 Views  

Tao Jia, Department of Thermal Engineering, Taiyuan University of Technology, 030024, Taiyuan, China
Zhiyi Duan, Department of Thermal Engineering, Taiyuan University of Technology, 030024, Taiyuan, China
Bo Jia, CITIC Pacific Mining, Perth, 6155, Australia
Di Gao, Department of Mathematics and Statistics, Sam Houston State University, 1905 University Ave, Huntsville, TX 77340, United States

Discrete element method is employed to numerically investigate the granular packing of frictional cohesive particles with a Bimodal distribution. In the granular particle system, the diameter of the small particle is 50μm and the diameter of the large particle is 100μm. Different particle population ratios including 2:8, 4:6, 5:5, 4:6, and 8:2 are considered. Different forces including viscoelastic force, frictional force, van der Waals force, and gravitational force are incorporated in the mathematical modeling. The effect of the friction between the colliding particles on the structure of the finally formed granular matter is studied. The values of the sliding friction coefficient are 0, 0.1, 0.2, 0.3, 0.4, and 0.5 in different cases. It is found that the finally formed granular structure becomes looser as the sliding frictional coefficient increases. The coordination number and packing density are used to quantify the compactness of the granular structure, the characteristics of the radial distribution function and the distribution of the forces in the granular matter are investigated.

granular matter; Discrete element method; Bimodal distribution; sliding friction coefficient

Cite this paper
Tao Jia, Zhiyi Duan, Bo Jia, Di Gao, Numerical Investigation of Formation of Granular Matters Composed of Bimodal Particles, SCIREA Journal of Materials. Vol. 5 , No. 1 , 2020 , pp. 1 - 16 .


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