Modelling polymeric deformable granular materials - from experimental data to numerical models at the grain scale

Polymeric deformable granular materials are widely used in industry and the understanding and the modelling of their shaping process is a point of interest. This kind of materials often presents a viscoelasticplastic behaviour and the present study promotes a joint approach between numerical simulat...

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Main Authors: Teil Maxime, Harthong Barthélémy, Imbault Didier, Peyroux Robert
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:EPJ Web of Conferences
Online Access:https://doi.org/10.1051/epjconf/201714002005
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spelling doaj-5d1691b0abda407c8a5691d9c0edd0552021-08-02T12:18:42ZengEDP SciencesEPJ Web of Conferences2100-014X2017-01-011400200510.1051/epjconf/201714002005epjconf162022Modelling polymeric deformable granular materials - from experimental data to numerical models at the grain scaleTeil MaximeHarthong BarthélémyImbault DidierPeyroux RobertPolymeric deformable granular materials are widely used in industry and the understanding and the modelling of their shaping process is a point of interest. This kind of materials often presents a viscoelasticplastic behaviour and the present study promotes a joint approach between numerical simulations and experiments in order to derive the behaviour law of such granular material. The experiment is conducted on a polystyrene powder on which a confining pressure of 7MPa and an axial pressure reaching 30MPa are applied. Between different steps of the in-situ test, the sample is scanned in an X-rays microtomograph in order to know the structure of the material depending on the density. From the tomographic images and by using specific algorithms to improve the images quality, grains are automatically identified, separated and a finite element mesh is generated. The long-term objective of this study is to derive a representative sample directly from the experiments in order to run numerical simulations using a viscoelactic or viscoelastic-plastic constitutive law and compare numerical and experimental results at the particle scale.https://doi.org/10.1051/epjconf/201714002005
collection DOAJ
language English
format Article
sources DOAJ
author Teil Maxime
Harthong Barthélémy
Imbault Didier
Peyroux Robert
spellingShingle Teil Maxime
Harthong Barthélémy
Imbault Didier
Peyroux Robert
Modelling polymeric deformable granular materials - from experimental data to numerical models at the grain scale
EPJ Web of Conferences
author_facet Teil Maxime
Harthong Barthélémy
Imbault Didier
Peyroux Robert
author_sort Teil Maxime
title Modelling polymeric deformable granular materials - from experimental data to numerical models at the grain scale
title_short Modelling polymeric deformable granular materials - from experimental data to numerical models at the grain scale
title_full Modelling polymeric deformable granular materials - from experimental data to numerical models at the grain scale
title_fullStr Modelling polymeric deformable granular materials - from experimental data to numerical models at the grain scale
title_full_unstemmed Modelling polymeric deformable granular materials - from experimental data to numerical models at the grain scale
title_sort modelling polymeric deformable granular materials - from experimental data to numerical models at the grain scale
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2017-01-01
description Polymeric deformable granular materials are widely used in industry and the understanding and the modelling of their shaping process is a point of interest. This kind of materials often presents a viscoelasticplastic behaviour and the present study promotes a joint approach between numerical simulations and experiments in order to derive the behaviour law of such granular material. The experiment is conducted on a polystyrene powder on which a confining pressure of 7MPa and an axial pressure reaching 30MPa are applied. Between different steps of the in-situ test, the sample is scanned in an X-rays microtomograph in order to know the structure of the material depending on the density. From the tomographic images and by using specific algorithms to improve the images quality, grains are automatically identified, separated and a finite element mesh is generated. The long-term objective of this study is to derive a representative sample directly from the experiments in order to run numerical simulations using a viscoelactic or viscoelastic-plastic constitutive law and compare numerical and experimental results at the particle scale.
url https://doi.org/10.1051/epjconf/201714002005
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AT imbaultdidier modellingpolymericdeformablegranularmaterialsfromexperimentaldatatonumericalmodelsatthegrainscale
AT peyrouxrobert modellingpolymericdeformablegranularmaterialsfromexperimentaldatatonumericalmodelsatthegrainscale
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