Translation and rotation of particles in different flow pattern areas of a silo--颗粒学报PARTICUOLOGY

Li, R., Chen, Q., Li, H., Xiu, W., Zivkovic, V., & Yang, H. (2023). Translation and rotation of particles in different flow pattern areas of a silo. Particuology, 73, 68-77. https://doi.org/10.1016/j.partic.2022.04.005

Translation and rotation of particles in different flow pattern areas of a silo

Ran Li ^a, Quan Chen ^b, Hongze Li ^b, Wenzheng Xiu ^b, Vladimir Zivkovic ^c, Hui Yang ^b *

a School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
b School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
c School of Engineering, Newcastle University, NE1 7RU, United Kingdom

10.1016/j.partic.2022.04.005

Volume 73, February 2023, Pages 68-77

Received 8 December 2021, Revised 12 April 2022, Accepted 14 April 2022, Available online 4 May 2022, Version of Record 18 May 2022.

E-mail: yanghui@usst.edu.cn

Highlights

• The flow pattern transition height of mass flow and funnel flow is stable.

• The correlation of translation and rotation velocity is opposite in different areas.

• The rotational abrasion of particles is concentrated in the funnel flow area.

• Increasing the mass flow rate of silo can reduce the rotational abrasion of particles.

Abstract

The present paper reports the results obtained for translational and rotational velocity profiles of spherical particles for the mixed flow in a conical silo. The discrete element method (DEM) based on Hertz-Mindlin (no slip) with RVD rolling friction contact model is used for simulations. Opposite correlations are found between translational and rotational velocities in different flow areas of the silo. In particular, the abrasion caused by rotation is dominant in the funnel flow area. In addition, increase of the mass flow rate of silo can effectively reduce the abrasion induced by rotation. This highlights that understanding of dynamic characteristics of particles is helpful for optimization of silos and reduction of granular material abrasion.

Graphical abstract

Keywords

Translational velocity; Rotational velocity; Rolling contribution rate; Mass flow index

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