Self-diffusion of spherocylindrical particles flowing under non-uniform shear rate.

Hernández-Delfin, D; Weinhart, T; Hidalgo, R C · Soft Matter · 2022

basic_science · Level V

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Abstract

This work is devoted to study numerically the self-diffusion of spherocylindrical particles flowing down an inclined plane, using the discrete element method (DEM). This system is challenging due to particles being non-spherical and because they are subjected to a non-uniform shear rate. We performed simulations for several aspect ratios and inclination angles, tracking individual particle trajectories. Using the simulation data, we computed the diffusion coefficients <i>D</i>, and a coarse-graining methodology allowed accessing the shear rate spatial profiles <i></i>(<i>z</i>). This data enabled us to identify the spatial regions where the diffusivity strongly correlates with the local shear rate. Introducing an effective particle size <i>d</i><sub>⊥</sub>, we proposed a well-rationalized scaling law between <i>D</i> and <i></i>. Our findings also identified specific locations where the diffusivity does not correlate with the shear rate. This observation corresponds to zones where <i></i> has non-linear spatial variation, and the velocity probability density distributions exhibit asymmetric shapes.