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

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...

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Autores principales:	Dmitry Puzyrev, David Fischer, Kirsten Harth, Torsten Trittel, Raúl Cruz Hidalgo, Eric Falcon, Martial Noirhomme, Eric Opsomer, Nicolas Vandewalle, Yves Garrabos, Carole Lecoutre, Fabien Palencia, Ralf Stannarius
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f76c4ee259184357aa1aa85648ed9f02
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spelling	oai:doaj.org-article:f76c4ee259184357aa1aa85648ed9f022021-12-02T16:49:37ZVisual analysis of density and velocity profiles in dense 3D granular gases10.1038/s41598-021-89949-z2045-2322https://doaj.org/article/f76c4ee259184357aa1aa85648ed9f022021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89949-zhttps://doaj.org/toc/2045-2322Abstract 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 simulation 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.Dmitry PuzyrevDavid FischerKirsten HarthTorsten TrittelRaúl Cruz HidalgoEric FalconMartial NoirhommeEric OpsomerNicolas VandewalleYves GarrabosCarole LecoutreFabien PalenciaRalf StannariusNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dmitry Puzyrev David Fischer Kirsten Harth Torsten Trittel Raúl Cruz Hidalgo Eric Falcon Martial Noirhomme Eric Opsomer Nicolas Vandewalle Yves Garrabos Carole Lecoutre Fabien Palencia Ralf Stannarius Visual analysis of density and velocity profiles in dense 3D granular gases
description	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 simulation 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.
format	article
author	Dmitry Puzyrev David Fischer Kirsten Harth Torsten Trittel Raúl Cruz Hidalgo Eric Falcon Martial Noirhomme Eric Opsomer Nicolas Vandewalle Yves Garrabos Carole Lecoutre Fabien Palencia Ralf Stannarius
author_facet	Dmitry Puzyrev David Fischer Kirsten Harth Torsten Trittel Raúl Cruz Hidalgo Eric Falcon Martial Noirhomme Eric Opsomer Nicolas Vandewalle Yves Garrabos Carole Lecoutre Fabien Palencia Ralf Stannarius
author_sort	Dmitry Puzyrev
title	Visual analysis of density and velocity profiles in dense 3D granular gases
title_short	Visual analysis of density and velocity profiles in dense 3D granular gases
title_full	Visual analysis of density and velocity profiles in dense 3D granular gases
title_fullStr	Visual analysis of density and velocity profiles in dense 3D granular gases
title_full_unstemmed	Visual analysis of density and velocity profiles in dense 3D granular gases
title_sort	visual analysis of density and velocity profiles in dense 3d granular gases
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f76c4ee259184357aa1aa85648ed9f02
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Visual analysis of density and velocity profiles in dense 3D granular gases

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