Evaluation of static and rolling friction coefficients of granulated sugar using the discrete element method in a rolling mode rotating drum

Evaluation of static and rolling friction coefficients of granulated sugar using the discrete element method in a rolling mode rotating drum

PurposeThis research investigates the behavior of granulated sugar particles of different sizes in a rotating drum at varying speeds, using the discrete element method (DEM) as a mathematical modeling approach.Design/methodology/approachThe study conducted a data scan to determine both static and ro...

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Bibliographic Details
Published in:Engineering computations Vol. 41; no. 10; pp. 2549 - 2571
Main Authors: Marcelino dos Santos, Lorena, Fedalto Sartori, Lucas, de Lima Luz Junior, Luiz Fernando, Pedersen Voll, Fernando Augusto
Format: Journal Article
Language:English
Published: Bradford Emerald Group Publishing Limited 27-11-2024
Subjects:
Calibration
Charged particles
Coefficient of friction
Discrete element method
Friction
Granular materials
Industrial development
Mindlin plates
Rolling resistance
Rotation
Simulation
Sugar
Viscoelasticity
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Summary:PurposeThis research investigates the behavior of granulated sugar particles of different sizes in a rotating drum at varying speeds, using the discrete element method (DEM) as a mathematical modeling approach.Design/methodology/approachThe study conducted a data scan to determine both static and rolling friction coefficients. Based on benchmark studies, the Hertz–Mindlin contact model with rolling history elastic-plastic spring-dashpot (EPSD) and CDT (directional constant torque) models were employed to simulate the behavior of granulated sugar particles in a rotating drum under varying speeds.FindingsIn this research, the static and rolling friction coefficients presented the best values for granulated sugar near 0.60 and 1.5, respectively, applying the CDT model. The method demonstrated great accuracy in replicating experimental data.Originality/valueThis study enables comprehension of the behavior of the particles and particle system in a rotating drum at different speeds. The method may develop models that characterize and predict the main effects of particle systems to reduce project time and expense, especially in the food industry.
ISSN:0264-4401
1758-7077
DOI:10.1108/EC-05-2024-0465