Void fraction for random loose packing of the cylindrical particles considering filling rate, material and shape--颗粒学报PARTICUOLOGY

Zhang, C., Gao, J., Xu, Y., Xia, Y., Wei, X., Su, X., & Zeng, L. (2022). Void fraction for random loose packing of the cylindrical particles considering filling rate, material and shape. Particuology, 63, 35-46. https://doi.org/10.1016/j.partic.2021.04.011

Void fraction for random loose packing of the cylindrical particles considering filling rate, material and shape

Chengquan Zhang, Jun Gao ^*, Yukun Xu, Yunfei Xia, Xiaobin Wei, Xing Su, Lingjie Zeng

School of Mechanical Engineering, Tongji University, Shanghai, China

10.1016/j.partic.2021.04.011

Volume 63, April 2022, Pages 35-46

Received 4 March 2021, Revised 1 April 2021, Accepted 20 April 2021, Available online 10 May 2021, Version of Record 18 November 2021.

E-mail: gaojun-hvac@tongji.edu.cn

Highlights

• A novel prediction model of void fraction is developed for random loose packing.

• The quantitative effect of parameters on voidage is analyzed.

• DEM simulation on RLP of cylindrical particles under different conditions.

Abstract

Particle packing is widely applied in organic pollutant adsorption, catalytic reaction, biomass combustion, nuclear cooling, and other scenarios. Due to the complexity of the shape, the studies on the void fraction of the cylindrical particles are not as thorough as the spherical particles. This study investigated the influence of the filling rate, material properties and sphericity on the void fraction of cylinders through experiments and simulation. DEM (discrete element method) was validated by the internal structures of the packing obtained by CT (computed tomography). Based on the logarithmic correlation between the void fraction and filling rate, an ingenious framework for predicting the void fraction of cylindrical particles was presented with two intermediate coefficients. By correlating the coefficients with the material property and sphericity, a novel void-fraction prediction model was established with R-squared of 0.996. The mechanism of void fraction under random loose packing for cylinders was eventually found in this study.

Graphical abstract

Keywords

Void fraction; Random loose packing; Cylindrical particles; Prediction model; DEM

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