Discrete numerical analysis of cohesive granular flow in a thin rotating drum: Flow regimes and cohesion estimation

In this study, we investigate the rheological behavior of cohesive granular flows within a rotating drum geometry using discrete element method (DEM) simulations. By systematically varying particle size, cohesion, and stiffness, we identify the emergence of distinct flow regimes—consistent with prior experimental observations. While the transitions between these regimes are primarily governed by cohesion, particle stiffness is also shown to significantly influence flow dynamics. To interpret the numerical results, we employ a dimensional analysis rooted in the physics of adhesive particle collisions. This analysis provides a conceptual framework for the remainder of the paper, which explores how “upscaled” discrete simulations can replicate experimental findings and help infer interparticle contact properties such as the adhesive surface energy. Notably, we use it to examine rotating drum experiments involving a unique class of granular materials, ice powders, which holds particular relevance in planetary science applications, and which flowability was shown to be strongly temperature-dependent. • Rotating drum flows of cohesive particles studied by DEM simulations. • Different flow regimes influenced by adhesion and particle stiffness. • Relevant dimensionless numbers obtained from adhesive collision analysis. • Estimation of adhesive surface energy applied to icy powders’ experiments.

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Publication Details

Journal
Powder Technology
Published
2025-10-09
DOI
https://doi.org/10.1016/j.powtec.2025.121723
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
0.00

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article

Discrete numerical analysis of cohesive granular flow in a thin rotating drum: Flow regimes and cohesion estimation

Antonio Pol, Riccardo Artoni, Benoît Jabaud, G. Tobie et al.
Powder Technology
Granular flow and fluidized beds
article

Discrete numerical analysis of cohesive granular flow in a thin rotating drum: Flow regimes and cohesion estimation

Antonio Pol, Riccardo Artoni, Benoît Jabaud, G. Tobie, Patrick Richard, E. Le Menn
article en

Abstract

In this study, we investigate the rheological behavior of cohesive granular flows within a rotating drum geometry using discrete element method (DEM) simulations. By systematically varying particle size, cohesion, and stiffness, we identify the emergence of distinct flow regimes—consistent with prior experimental observations. While the transitions between these regimes are primarily governed by cohesion, particle stiffness is also shown to significantly influence flow dynamics. To interpret the numerical results, we employ a dimensional analysis rooted in the physics of adhesive particle collisions. This analysis provides a conceptual framework for the remainder of the paper, which explores how “upscaled” discrete simulations can replicate experimental findings and help infer interparticle contact properties such as the adhesive surface energy. Notably, we use it to examine rotating drum experiments involving a unique class of granular materials, ice powders, which holds particular relevance in planetary science applications, and which flowability was shown to be strongly temperature-dependent. • Rotating drum flows of cohesive particles studied by DEM simulations. • Different flow regimes influenced by adhesion and particle stiffness. • Relevant dimensionless numbers obtained from adhesive collision analysis. • Estimation of adhesive surface energy applied to icy powders’ experiments.

Powder TechnologyVol. 469
Centre National de la Recherche Scientifique (FR), Université de Montpellier (FR), Institut Agro Montpellier (FR), Ingénierie des Agropolymères et Technologies Emergentes (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Institut Agro Montpelier (FR), Laboratoire de Planétologie et Géosciences (FR), Université Gustave Eiffel (FR), L'Institut Agro (FR)
Agence Nationale de la Recherche, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
Openalex Percentile: Top 70%
Granular flow and fluidized beds
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