2020
DOI: 10.1016/j.ijmecsci.2019.105298
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Efficient computational modelling of closed cell metallic foams using a morphologically controlled shell geometry

Abstract: This contribution addresses the finite element modelling of closed cell metallic foams using Representative Volume Elements (RVEs) based on shell geometries directly extracted from implicitly defined 3D geometries. 3D RVEs of closed cell foam materials are produced by means of a generation strategy allowing a close morphological control reproducing fine scale geometrical features incorporating cell size, cell wall thickness and cell wall curvature distributions. The strategy is built on three computational ing… Show more

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Cited by 9 publications
(2 citation statements)
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References 51 publications
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“…A FE model with Representative Volume Elements was set to investigate the effects of cells height and wall thickness on the compressive behavior [24]. A similar modeling approach was used to obtain a morphological control on cell size, wall thickness, and curvature distributions on metal closed-cell structures, and to simulate their behavior under compressive loading up to the densification stage [25].…”
Section: Introductionmentioning
confidence: 99%
“…A FE model with Representative Volume Elements was set to investigate the effects of cells height and wall thickness on the compressive behavior [24]. A similar modeling approach was used to obtain a morphological control on cell size, wall thickness, and curvature distributions on metal closed-cell structures, and to simulate their behavior under compressive loading up to the densification stage [25].…”
Section: Introductionmentioning
confidence: 99%
“…A thorough examination of the effect of microstructure is required to understand the mechanical properties of cellular materials accurately. Recently, a methodology was proposed to generate the 3D geometry of closed-cell metallic foams with detailed control of their microstructural and morphological features [3][4][5][6]. However, this methodology does not consider the anisotropy of the cell shape.…”
Section: Introductionmentioning
confidence: 99%