Detecting vorticity in cohesive deformable granular material

Numerical models of granular materials are useful in tribology, and can be used to predict wear and friction in contacts. DEM-like simulations are used to model particles of third-body, which are partly wear debris from rubbing bodies. It has been shown that the third-body particles can have differe...

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Main Authors: Bouillanne Olivier, Mollon Guilhem, Saulot Aurélien, Descartes Sylvie, Serres Nathalie, Demmou Karim, Chassaing Guillaume
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2021/03/epjconf_pg2021_08005.pdf
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spelling doaj-4f718c8d089c4ecd80d23730546aff572021-08-03T00:25:54ZengEDP SciencesEPJ Web of Conferences2100-014X2021-01-012490800510.1051/epjconf/202124908005epjconf_pg2021_08005Detecting vorticity in cohesive deformable granular materialBouillanne OlivierMollon Guilhem0Saulot Aurélien1Descartes Sylvie2Serres Nathalie3Demmou Karim4Chassaing Guillaume5LaMCoS, Univ. Lyon, INSA-Lyon, CNRS UMR5259LaMCoS, Univ. Lyon, INSA-Lyon, CNRS UMR5259LaMCoS, Univ. Lyon, INSA-Lyon, CNRS UMR5259Safran Aircraft EnginesSafran Aircraft EnginesSafran Aircraft EnginesNumerical models of granular materials are useful in tribology, and can be used to predict wear and friction in contacts. DEM-like simulations are used to model particles of third-body, which are partly wear debris from rubbing bodies. It has been shown that the third-body particles can have different flow regimes, depending on their mechanical properties. Among the different characteristics of flow regimes, agglomerate size seems to be crucial. A method based on vortex analysis used in fluid mechanics allows characterizing this cluster size. The results show that different vortex sizes can be observed during the simulation. In particular, it is observed that some vortexes of a characteristic size persist over time, and could be representative of agglomerates. These results pave the way for a better characterisation of the different flow regimes.https://www.epj-conferences.org/articles/epjconf/pdf/2021/03/epjconf_pg2021_08005.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Bouillanne Olivier
Mollon Guilhem
Saulot Aurélien
Descartes Sylvie
Serres Nathalie
Demmou Karim
Chassaing Guillaume
spellingShingle Bouillanne Olivier
Mollon Guilhem
Saulot Aurélien
Descartes Sylvie
Serres Nathalie
Demmou Karim
Chassaing Guillaume
Detecting vorticity in cohesive deformable granular material
EPJ Web of Conferences
author_facet Bouillanne Olivier
Mollon Guilhem
Saulot Aurélien
Descartes Sylvie
Serres Nathalie
Demmou Karim
Chassaing Guillaume
author_sort Bouillanne Olivier
title Detecting vorticity in cohesive deformable granular material
title_short Detecting vorticity in cohesive deformable granular material
title_full Detecting vorticity in cohesive deformable granular material
title_fullStr Detecting vorticity in cohesive deformable granular material
title_full_unstemmed Detecting vorticity in cohesive deformable granular material
title_sort detecting vorticity in cohesive deformable granular material
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2021-01-01
description Numerical models of granular materials are useful in tribology, and can be used to predict wear and friction in contacts. DEM-like simulations are used to model particles of third-body, which are partly wear debris from rubbing bodies. It has been shown that the third-body particles can have different flow regimes, depending on their mechanical properties. Among the different characteristics of flow regimes, agglomerate size seems to be crucial. A method based on vortex analysis used in fluid mechanics allows characterizing this cluster size. The results show that different vortex sizes can be observed during the simulation. In particular, it is observed that some vortexes of a characteristic size persist over time, and could be representative of agglomerates. These results pave the way for a better characterisation of the different flow regimes.
url https://www.epj-conferences.org/articles/epjconf/pdf/2021/03/epjconf_pg2021_08005.pdf
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AT descartessylvie detectingvorticityincohesivedeformablegranularmaterial
AT serresnathalie detectingvorticityincohesivedeformablegranularmaterial
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