Anti-plane segregation and diffusion in dense, bidisperse granular shear flow

Dense granular mixtures consisting of particles of different sizes tend to segregate based on size during shear flow, yet predicting the evolution of the composition of a granular mixture in general geometries remains a challenge. This paper systematically studies a key aspect of the three-dimensional nature of segregation and diffusion in dense, bidisperse granular mixtures: segregation and diffusion acting along the direction perpendicular to the plane of shearing, referred to as the anti-plane mode. We utilize discrete-element method simulations to inform, calibrate, and test constitutive equations for the segregation and diffusion fluxes in their anti-plane modes.

Authors

Institutions

Publication Details

Journal
Physical Review Fluids
Published
2024-09-05
DOI
https://doi.org/10.1103/physrevfluids.9.094301
Citations
4
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
1.50

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Anti-plane segregation and diffusion in dense, bidisperse granular shear flow

David L. Henann, Harkirat Singh
4 citations
Physical Review Fluids
Granular flow and fluidized beds
1.50
article

Anti-plane segregation and diffusion in dense, bidisperse granular shear flow

David L. Henann, Harkirat Singh
article en
4 citations

Abstract

Dense granular mixtures consisting of particles of different sizes tend to segregate based on size during shear flow, yet predicting the evolution of the composition of a granular mixture in general geometries remains a challenge. This paper systematically studies a key aspect of the three-dimensional nature of segregation and diffusion in dense, bidisperse granular mixtures: segregation and diffusion acting along the direction perpendicular to the plane of shearing, referred to as the anti-plane mode. We utilize discrete-element method simulations to inform, calibrate, and test constitutive equations for the segregation and diffusion fluxes in their anti-plane modes.

Physical Review FluidsVol. 9(9)
John Brown University (US)
National Science Foundation
Openalex Percentile: Top 20%
Granular flow and fluidized beds
1.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.