Filling a silo with a mixture of grains: Friction-induced segregation
Antal K\'arolyi, J\'anos Kert\'esz, Shlomo Havlin, Hern\'an A. Makse, and H. Eugene Stanley
TL;DR
This study uses a granular media lattice gas model to simulate the filling of a silo with grains, introducing a new model for binary mixtures to analyze friction-induced segregation and comparing results with existing theories.
Contribution
We develop a generalized GMLG model for binary particle mixtures with different friction properties and measure surface segregation during silo filling.
Findings
Surface shape and flow profiles match theoretical predictions.
Segregation process on the surface is successfully measured.
Small deviations explained by nonuniform velocity profiles.
Abstract
We study the filling process of a two-dimensional silo with inelastic particles by simulation of a granular media lattice gas (GMLG) model. We calculate the surface shape and flow profiles for a monodisperse system and we introduce a novel generalization of the GMLG model for a binary mixture of particles of different friction properties where, for the first time, we measure the segregation process on the surface. The results are in good agreement with a recent theory, and we explain the observed small deviations by the nonuniform velocity profile.
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