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Titel: Analysis of an open foam generated from computerized tomography scans of physical foam samples
VerfasserIn: Leblanc, Christophe
Kilingar, Nanda Gopala
Jung, Anne
Kamel, Karim Ehab Moustafa
Massart, Thierry Jacques
Noels, Ludovic
Béchet, Eric
Sprache: Englisch
Titel: International Journal for Numerical Methods in Engineering
Bandnummer: 123
Heft: 18
Seiten: 4267-4295
Verlag/Plattform: Wiley
Erscheinungsjahr: 2022
Freie Schlagwörter: boundary representation
finite element methods
foam
material science
tomography
DDC-Sachgruppe: 500 Naturwissenschaften
Dokumenttyp: Journalartikel / Zeitschriftenartikel
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 der Erstveröffentlichung: 10.1002/nme.7008
URL der Erstveröffentlichung: https://onlinelibrary.wiley.com/doi/10.1002/nme.7008
Link zu diesem Datensatz: 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
Datum des Eintrags: 11-Mai-2023
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Materialwissenschaft und Werkstofftechnik
Professur: NT - Prof. Dr. Stefan Diebels
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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