Abstract

In this work, granular segregation in a two-compartment cell (Maxwell’s Demon) under zero gravity is studied numerically by DEM simulation for comparison with the experimental observation in satellite SJ-10. The effect of three parameters: the total number of particlesN , the excitation strengthΓ , and the position of the window coupling the two compartments, on the segregatione and the waiting timeτ are investigated. In the simulation, non-zero segregation under zero gravity is obtained, and the segregation e is found independent of the excitation strengthΓ . The waiting time τ, however, depends strongly onΓ .For higher acceleration Γ, |ei | reaches steady state valuee faster.

Highlights

  • Granular materials’ extremely rich dynamical behaviours have attracted attentions of physicists of different fields in recent years[1-3]

  • A steady state of the whole system is reached when the dissipation of the system is balanced by the input of the energy

  • We find that (1) density gradient exists in the cell along excitation direction that particles gather near the end away from the vibration wall; (2) segregation among the two compartments exists even for very small excitation acceleration Γ as long as number of particles N exceeds a critical number and the waiting time is long enough; (3) different from the situation in gravity, segregation ε is independent of Γ when in zero gravity; (4) the waiting time τ is shorter when the acceleration Γ is higher, but reaches a minimum when Γ is large enough

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Summary

Introduction

Granular materials’ extremely rich dynamical behaviours have attracted attentions of physicists of different fields in recent years[1-3]. Fijn = knδ + γ nvn , where kn and γ n are the spring stiffness and the dissipative coefficient, respectively, and vn is the normal component of the relative velocity vij = vi − vj. This is called Linear Spring Dashpot (LSD) model. The flux profile can be found by the counts of collisions per unit time across a given virtual window

Flux function obtained in virtual-window single-cell simulation
The effect of total number N on the segregation ε
Conclusion
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