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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2021-01-01
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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 |
work_keys_str_mv |
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