Shear-induced particle segregation in binary mixtures: Verification of a percolation theory--颗粒学报PARTICUOLOGY

Tirapelle, M., Volpato, S., & Santomaso, A. C. (2021). Shear-induced particle segregation in binary mixtures: Verification of a percolation theory. Particuology, 57, 214-222. https://doi.org/10.1016/j.partic.2021.01.005

Shear-induced particle segregation in binary mixtures: Verification of a percolation theory

Monica Tirapelle ^*, Silvia Volpato, Andrea C. Santomaso 1

APTLab – Advanced Particle Technology Laboratory, Department of Industrial Engineering, University of Padova, Via Marzolo 9, 35131 Padova, Italy

10.1016/j.partic.2021.01.005

Volume 57, August 2021, Pages 214-222

Received 3 November 2020, Revised 21 December 2020, Accepted 5 January 2021, Available online 10 February 2021, Version of Record 6 March 2021.

E-mail: monica.tirapelle@phd.unipd.it

Highlights

• Shear-induced percolation is studied with DEM.

• Parameter sensitivity analysis highlights the role of sliding friction on system response.

• The assumptions on which the mathematical percolation model relies are verified.

• The parameters of the mathematical model result to be physically consistent.

• Statically significant evidence of bed isotropy in sheared conditions is reported.

Abstract

Granular materials composed of different-sized grains may experience undesired segregation. Segregation is detrimental for a lot of industries because it leads to an increase in production costs and wastes. For these reasons, the segregation phenomena have been intensively studied in the last decades, and a lot of models have been provided by many researchers. However, these models are mainly based on empirical relations rather than physical considerations. This paper aims to confirm the main assumptions made by Volpato, Tirapelle, and Santomaso (2020) in their percolation theory by means of DEM simulations. The simulated geometry is a tilting shear box filled with few tracer particles in a bed of coarser sized grains, and simulations are performed for a range of tilting frequencies and size ratios. The results provide meaningful insight on the mathematical model parameters and allow us to say that the percolation theory relies on physically consistent assumptions.

Graphical abstract

Keywords

Discrete element method; Shear-induced percolation; Segregation; Parameter sensitivity analysis; Percolation model

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