Cascading (3D) reconstruction procedure of composite structures from microtomography data

Reconstruction of three-dimensional (3D) structure from experimental image acquisition (e.g., from micro computed tomography data) is very useful in composite material science. Composite considered are characterized by a dispersion of particles in a continuous phase. Many properties of the composite...

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Main Authors: Marouane Kabbej, Valérie Guillard, Hélène Angellier-Coussy, Valentin Thoury-Monbrun, Nathalie Gontard, Laurent Orgéas, Sabine Rolland du Roscoat, Sébastien Gaucel
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:MethodsX
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2215016123001772
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author Marouane Kabbej
Valérie Guillard
Hélène Angellier-Coussy
Valentin Thoury-Monbrun
Nathalie Gontard
Laurent Orgéas
Sabine Rolland du Roscoat
Sébastien Gaucel
author_facet Marouane Kabbej
Valérie Guillard
Hélène Angellier-Coussy
Valentin Thoury-Monbrun
Nathalie Gontard
Laurent Orgéas
Sabine Rolland du Roscoat
Sébastien Gaucel
author_sort Marouane Kabbej
collection DOAJ
description Reconstruction of three-dimensional (3D) structure from experimental image acquisition (e.g., from micro computed tomography data) is very useful in composite material science. Composite considered are characterized by a dispersion of particles in a continuous phase. Many properties of the composite (e.g., mass transfer properties) depend on its structural assembly. A reliable prediction of these properties requires to well represent this structure and especially, the region at the vicinity of the dispersed phase. (3D) structure generation must thus permit to (1) simplify the real composite structure observed to make it compatible with further modelling tasks (e.g., meshing constraints in finite elements methods, computation time) and (2) keep enough representativeness of the structure of the specimen to produce reliable numerical predictions. This article describes an innovative, cascading (3D) reconstruction procedure of composite material from microtomography data. • First step of this pipeline is the extraction of relevant structural markers from microtomography images using image analysis. • Second step is the modelling of the distribution of the structural markers selected (statistical laws). • Third and final step is the reconstruction of the (3D) structures based on the pre-determined distribution laws in a RVE (representative volume element) of the composite.
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spelling doaj.art-08698c5f8ef045eaa54aef1226b5dd172023-06-24T05:17:37ZengElsevierMethodsX2215-01612023-01-0110102177Cascading (3D) reconstruction procedure of composite structures from microtomography dataMarouane Kabbej0Valérie Guillard1Hélène Angellier-Coussy2Valentin Thoury-Monbrun3Nathalie Gontard4Laurent Orgéas5Sabine Rolland du Roscoat6Sébastien Gaucel7IATE, CIRAD, INRAE, Université Montpellier, Institut Agro, Montpellier 34060FranceIATE, CIRAD, INRAE, Université Montpellier, Institut Agro, Montpellier 34060FranceIATE, CIRAD, INRAE, Université Montpellier, Institut Agro, Montpellier 34060FranceIATE, CIRAD, INRAE, Université Montpellier, Institut Agro, Montpellier 34060FranceIATE, CIRAD, INRAE, Université Montpellier, Institut Agro, Montpellier 34060FranceCNRS, 3SR Lab, Université Grenoble Alpes, UMR 5521, Grenoble F-38000, FranceCNRS, 3SR Lab, Université Grenoble Alpes, UMR 5521, Grenoble F-38000, FranceIATE, CIRAD, INRAE, Université Montpellier, Institut Agro, Montpellier 34060France; Corresponding author.Reconstruction of three-dimensional (3D) structure from experimental image acquisition (e.g., from micro computed tomography data) is very useful in composite material science. Composite considered are characterized by a dispersion of particles in a continuous phase. Many properties of the composite (e.g., mass transfer properties) depend on its structural assembly. A reliable prediction of these properties requires to well represent this structure and especially, the region at the vicinity of the dispersed phase. (3D) structure generation must thus permit to (1) simplify the real composite structure observed to make it compatible with further modelling tasks (e.g., meshing constraints in finite elements methods, computation time) and (2) keep enough representativeness of the structure of the specimen to produce reliable numerical predictions. This article describes an innovative, cascading (3D) reconstruction procedure of composite material from microtomography data. • First step of this pipeline is the extraction of relevant structural markers from microtomography images using image analysis. • Second step is the modelling of the distribution of the structural markers selected (statistical laws). • Third and final step is the reconstruction of the (3D) structures based on the pre-determined distribution laws in a RVE (representative volume element) of the composite.http://www.sciencedirect.com/science/article/pii/S2215016123001772Particle morphology(3D) Structure buildingHeterogeneous size distribution(3D) tri-phasic structure
spellingShingle Marouane Kabbej
Valérie Guillard
Hélène Angellier-Coussy
Valentin Thoury-Monbrun
Nathalie Gontard
Laurent Orgéas
Sabine Rolland du Roscoat
Sébastien Gaucel
Cascading (3D) reconstruction procedure of composite structures from microtomography data
MethodsX
Particle morphology
(3D) Structure building
Heterogeneous size distribution
(3D) tri-phasic structure
title Cascading (3D) reconstruction procedure of composite structures from microtomography data
title_full Cascading (3D) reconstruction procedure of composite structures from microtomography data
title_fullStr Cascading (3D) reconstruction procedure of composite structures from microtomography data
title_full_unstemmed Cascading (3D) reconstruction procedure of composite structures from microtomography data
title_short Cascading (3D) reconstruction procedure of composite structures from microtomography data
title_sort cascading 3d reconstruction procedure of composite structures from microtomography data
topic Particle morphology
(3D) Structure building
Heterogeneous size distribution
(3D) tri-phasic structure
url http://www.sciencedirect.com/science/article/pii/S2215016123001772
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