Thermal diffusion segregation in granular binary mixtures described by the Enskog equation
Vicente Garz\'o

TL;DR
This paper analyzes thermal diffusion segregation in granular binary mixtures using the inelastic Enskog equation, deriving criteria for Brazil-nut effects and comparing results with simulations, emphasizing the impact of inelastic collisions.
Contribution
It extends the theoretical analysis of thermal diffusion segregation to dense systems and arbitrary concentrations, incorporating inelastic collision effects.
Findings
The sign of the thermal diffusion factor predicts BNE or RBNE.
Phase diagrams illustrate the transition criteria.
Inelasticity significantly influences segregation behavior.
Abstract
Diffusion induced by a thermal gradient in a granular binary mixture is analyzed in the context of the (inelastic) Enskog equation. Although the Enskog equation neglects velocity correlations among particles which are about to collide, it retains spatial correlations arising from volume exclusion effects and thus it is expected to apply to moderate densities. In the steady state with gradients only along a given direction, a segregation criterion is obtained from the thermal diffusion factor measuring the amount of segregation parallel to the thermal gradient. As expected, the sign of the factor provides a criterion for the transition between the Brazil-nut effect (BNE) and the reverse Brazil-nut effect (RBNE) by varying the parameters of the mixture (masses, sizes, concentration, solid volume fraction, and coefficients of restitution). The form of the phase diagrams…
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