Volume 123, Number 1, July 2018
|Number of page(s)||6|
|Section||Electromagnetism, Optics, Acoustics, Heat Transfer, Classical Mechanics, and Fluid Dynamics|
|Published online||13 August 2018|
Threshold of gas-like to clustering transition in driven granular media in low-gravity environment
1 Group for Research and Applications in Statistical Physics (GRASP), CESAM Research Unit, Physics Department, B5a, University of Liège - B-4000 Liège, Belgium
2 Université Paris Diderot, Sorbonne Paris Cité, MSC, UMR 7057 CNRS - F-75013 Paris, France
3 Institute of Physics, Otto von Guericke University - D-39106 Magdeburg, Germany
4 Institut de Chimie et de la Matière Condensée de Bordeaux (ICMCB)-UPR 9048 CNRS F-33608 Pessac, France
Received: 30 May 2018
Accepted: 17 July 2018
Strongly driven granular media are known to undergo a transition from a gas-like to a cluster regime when the density of particles is increased. However, the main mechanism triggering this transition is not fully understood so far. Here, we investigate experimentally this transition within a 3D cell filled with beads that are driven by two face-to-face vibrating pistons in low gravity during parabolic flight campaigns. By varying large ranges of parameters, we obtain the full phase diagram of the dynamical regimes reached by the out-of-equilibrium system: gas, cluster or bouncing aggregate. The images of the cell recorded by two perpendicular cameras are processed to obtain the profiles of particle density along the vibration axis of the cell. A statistical test is then performed on these distributions to determinate which regime is reached by the system. The experimental results are found in very good agreement with theoretical models for the gas-cluster transition and for the emergence of the bouncing state. The transition is shown to occur when the typical propagation time needed to transmit the kinetic energy from one piston to the other is of the order of the relaxation time due to dissipative collisions.
PACS: 45.70.-n – Granular systems / 45.70.Qj – Pattern formation
© EPLA, 2018
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