Modeling and experimental investigation of shear-induced particle percolation in diluted binary mixtures.


Journal

Physical review. E
ISSN: 2470-0053
Titre abrégé: Phys Rev E
Pays: United States
ID NLM: 101676019

Informations de publication

Date de publication:
Jul 2020
Historique:
received: 05 09 2019
accepted: 22 05 2020
entrez: 16 8 2020
pubmed: 17 8 2020
medline: 17 8 2020
Statut: ppublish

Résumé

A polydispersed mixture of granular materials composed of different-sized particles segregates whenever it undergoes external actions such as shear. Predicting and controlling segregation pose a challenging problem of industrial interest. One of the most frequent and important causes of segregation is interparticle percolation that occurs when small particles fall down through the voids between large particles as a result of local shear in the presence of a gravitational field. In this paper, we present a theoretical model to predict the percolation velocity in sheared systems, and we validate it experimentally. The experiments were carried out in simple shear conditions. This type of flow was achieved in a shear box which allowed the quantitative study of particle percolation under constant shear conditions. The granular material inside the box was a binary mixture of cohesionless spheres differing only in size. The experiments allowed us to quantify the percolation speed for different size ratios and different shear rates. The collected data confirmed the validity of the proposed theoretical model; the latter can be implemented in a continuum framework to simulate more complex phenomena and geometries.

Identifiants

pubmed: 32795026
doi: 10.1103/PhysRevE.102.012902
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

012902

Auteurs

S Volpato (S)

APTLab - Advanced Particle Technology Laboratory, Department of Industrial Engineering, University of Padova, via Marzolo 9, 35131 Padova, Italy.

M Tirapelle (M)

APTLab - Advanced Particle Technology Laboratory, Department of Industrial Engineering, University of Padova, via Marzolo 9, 35131 Padova, Italy.

A C Santomaso (AC)

APTLab - Advanced Particle Technology Laboratory, Department of Industrial Engineering, University of Padova, via Marzolo 9, 35131 Padova, Italy.

Classifications MeSH