Self-diffusion of spherocylindrical particles flowing under non-uniform shear rate
D Hernández-Delfin1,2, T Weinhart3, R C Hidalgo1
1Departamento de Física y Matemática Aplicada, Universidad de Navarra, P.O. Box. 177, E-31080 Navarra, Spain. dhernandezd@alumni.unav.es.
Soft Matter
|April 14, 2022
Summary
This study numerically investigates self-diffusion of spherocylindrical particles on inclined planes. A new scaling law relates diffusion coefficients to local shear rates, revealing distinct behaviors in non-uniform flow regions.
Area of Science:
- Physics
- Materials Science
- Computational Science
Background:
- Studying particle dynamics in granular flows is crucial for understanding complex material behaviors.
- Non-spherical particles and non-uniform shear rates present significant challenges in modeling granular systems.
Purpose of the Study:
- To numerically investigate the self-diffusion of spherocylindrical particles on an inclined plane.
- To establish a relationship between particle diffusion and local shear rates in granular flows.
- To identify conditions where diffusion deviates from shear rate dependence.
Main Methods:
- Utilized the discrete element method (DEM) for numerical simulations.
- Performed simulations across various particle aspect ratios and inclination angles.
- Employed coarse-graining to analyze spatial shear rate profiles and computed diffusion coefficients.
Main Results:
- Identified spatial regions where particle diffusivity strongly correlates with the local shear rate.
- Developed a scaling law between diffusion coefficients (D) and shear rates (γ̇) using an effective particle size (d⊥).
- Observed deviations from shear rate correlation in areas with non-linear shear rate variation and asymmetric velocity distributions.
Conclusions:
- The study provides a framework for understanding self-diffusion in sheared granular flows of non-spherical particles.
- The proposed scaling law offers a predictive tool for granular material behavior under specific flow conditions.
- Non-linear shear variations significantly impact particle diffusion dynamics, leading to complex flow behaviors.
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