Visual analysis of density and velocity profiles in dense 3D granular gases

D. Puzyrev1, D. Fischer1, K. Harth1, T. Trittel1, Raul Cruz Hidalgo2, E. Falcon3, M. Noirhomme4, E. Opsomer4, N. Vandewalle4, Y. Garrabos5, C. Lecoutre5, F. Palencia5, and R. Stannarius1


1Institute of Physics, Otto von Guericke University, D-39106 Magdeburg, Germany
2Fisica y Matematica Aplicada, Facultad de Ciencias, Universidad de Navarra, E-31080, Pamplona, Spain
3Universite de Paris, Matière et Systemes Complexes (MSC), UMR 7057 CNRS, F-75013 Paris, France
4GRASP, Institut de Physique B5a, Sart Tilman, University of Liège, B-4000 Liège, Belgium
5CNRS, Universite de Bordeaux, Bordeaux INP, ICMCB, UMR 5026, F-33600 Pessac, France

Reference: Scientific Reports 11, 10621 (2021)

URL: https://www.nature.com/articles/s41598-021-89949-z
DOI: https://doi.org/10.1038/s41598-021-89949-z

Abstract: Granular multiparticle ensembles are of interest from fundamental statistical viewpoints as well as for the understanding of collective processes in industry and in nature. Extraction of physical data from optical observations of three-dimensional (3D) granular ensembles poses considerable problems. Particle-based tracking is possible only at low volume fractions, not in clusters. We apply shadow-based and feature-tracking methods to analyze the dynamics of granular gases in a container with vibrating side walls under microgravity. In order to validate the reliability of these optical analysis methods, we perform numerical simulations of ensembles similar to the experiment. The simulations’ output is graphically rendered to mimic the experimentally obtained images. We validate the output of the optical analysis methods on the basis of this ground truth information. This approach provides insight in two interconnected problems: the confirmation of the accuracy of the simulations and the test of the applicability of the visual analysis. The proposed approach can be used for further investigations of dynamical properties of such media, including the granular Leidenfrost effect, granular cooling, and gas-clustering transitions.

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