Percolation of a cohesive fine particle in a static bed
Jizhi Zhang, Qiong Zhang, Julio M. Ottino, Paul B. Umbanhowar, and Richard M. Lueptow

TL;DR
This study uses discrete element simulations to explore how cohesion influences the percolation of fine particles in a static bed, revealing that interaction dynamics can prevent percolation even when geometric pathways exist.
Contribution
It introduces a collisional model with trapping probability and force balance analysis to predict cohesive fine particle trapping beyond geometric considerations.
Findings
Cohesion and friction can trap fines despite geometric pathways.
A collisional model predicts trapping distance in cohesion-dominated regimes.
Force balance analysis determines whether a particle remains stationary after contact.
Abstract
Percolation of fine particles (fines) in a static bed of larger particles is central to many industrial and natural processes. Non-cohesive fines either pass through the bed or become trapped depending on multiple factors including particle sizes, friction and restitution coefficients, and size-polydispersity. Here we consider the additional factor of cohesion. We use the discrete element method to simulate gravity-driven percolation of cohesive fine particles through a static bed of randomly packed large particles; fines interact with bed particles but not with each other. A large-to-fine particle diameter ratio of 7 geometrically permits non-cohesive fines to pass the narrowest pore throats formed by the large particles so they can freely percolate. However, sufficiently large cohesion and friction lead to non-geometric trapping. Fines are trapped when they fail to rebound after a…
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