Please use this identifier to cite or link to this item: doi:10.22028/D291-39738
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Title: Analysis of an open foam generated from computerized tomography scans of physical foam samples
Author(s): Leblanc, Christophe
Kilingar, Nanda Gopala
Jung, Anne
Kamel, Karim Ehab Moustafa
Massart, Thierry Jacques
Noels, Ludovic
Béchet, Eric
Language: English
Title: International Journal for Numerical Methods in Engineering
Volume: 123
Issue: 18
Pages: 4267-4295
Publisher/Platform: Wiley
Year of Publication: 2022
Free key words: boundary representation
finite element methods
foam
material science
tomography
DDC notations: 500 Science
Publikation type: Journal Article
Abstract: The present article introduces an automated procedure to construct geometrical representative volume elements (RVE) of open-foam cellular materials from computerized tomography (CT) images, with the final aim of generating meshable geometries usable in the finite element method (FEM) used in order to analyse their mechanical behavior. The methodology consists in growing and fitting a set of ellipsoids to each of the foam cells. These ellipsoids are seeded by local maxima of the distance to the struts obtained from computer tomography images. This methodology is thus fully voxel-based and does not depend on any assumption about statistical distributions of the foam cells. Therefore, it is able to reproduce an accurate geometrical model of the foam’s microstructure and its possible irregularities. Moreover, this procedure allows the processing of large 3D data sets that do not fit the random access memory (RAM) by slicing it into smaller independent chunks. The effectiveness of the proposed approach is illustrated by comparing it to FEM simulations for which meshes are obtained from a feature reconstruction approach. Both FEM simulations are then compared with experimental results of uniaxial compressions of an open foam.
DOI of the first publication: 10.1002/nme.7008
URL of the first publication: https://onlinelibrary.wiley.com/doi/10.1002/nme.7008
Link to this record: urn:nbn:de:bsz:291--ds-397388
hdl:20.500.11880/35806
http://dx.doi.org/10.22028/D291-39738
ISSN: 1097-0207
0029-5981
Date of registration: 11-May-2023
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Materialwissenschaft und Werkstofftechnik
Professorship: NT - Prof. Dr. Stefan Diebels
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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