Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/26714
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dc.contributor.authorAquino, Josépt_PT
dc.contributor.authorDuarte, Isabelpt_PT
dc.contributor.authorDias-de-Oliveira, Joãopt_PT
dc.date.accessioned2019-10-09T17:39:49Z-
dc.date.available2019-10-09T17:39:49Z-
dc.date.issued2018-01-
dc.identifier.issn2603-6363pt_PT
dc.identifier.urihttp://hdl.handle.net/10773/26714-
dc.description.abstractThis work focuses on finding methodologies to describe the effective elastic properties of metal foams. For this purpose, numerical methods and analytical models, were used. Kelvin cells and Weaire–Phelan structures were modelled to represent both open and closed-cell representative unit-cells. These unit-cells were then subjected to different homogenization methods: (i) Far field methods with single freedom constraints, where it was used two different approaches based on the load case. (ii) Asymptotic Expansion Homogenization (AEH) with periodic boundary conditions. The analytical, numerical and experimental results were then compared. The results indicate that the far field methods gave more precise predictions. However, AEH provides more information on the behaviour of the unit-cells. Using this detailed information, it was possible to perform an anisotropy analysis. Furthermore, contrary to the closed-cells, the open-cell numerical methods and analytical models are within the experimental results range.pt_PT
dc.language.isoengpt_PT
dc.publisherElsevierpt_PT
dc.rightsrestrictedAccesspt_PT
dc.subjectMetal foamspt_PT
dc.subjectHomogenizationpt_PT
dc.subjectRepresentative unit-cellspt_PT
dc.subjectKelvin structurept_PT
dc.subjectWeaire–Phelan structurept_PT
dc.titleModelling and effective properties prediction of metal foamspt_PT
dc.typearticlept_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
degois.publication.firstPage43pt_PT
degois.publication.issue1pt_PT
degois.publication.lastPage49pt_PT
degois.publication.titleScience and Technology of Materialspt_PT
degois.publication.volume30pt_PT
dc.identifier.doi10.1016/j.stmat.2018.01.004pt_PT
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DEM - Artigos

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