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Mechanical properties of aluminium foam derived from infiltration casting of salt dough AITranslate

The University of Newcastle;The University of Newcastle;Constellium Innovation Cells, EPFL Quartier de l’Innovation E;The University of Newcastle;The University of Newcastle;The University of Newcastle
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Publisher: Elsevier
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Abstract AITranslate

Highlights • First paper to address the mechanical properties of Corevo® aluminium foam. • Micro-computed tomography (μCT) characterisation of the complex material geometry. • Finite element analysis based on μCT data. • Characterisation of mechanical anisotropy. This paper addresses the mechanical properties of Corevo® aluminium foam. The effective Young’s modulus, Poisson’s ratio, and material yield stress are determined. To this end, samples are tested using uni-axial compressive testing. In addition, micro-computed tomography data of the complex material geometry are obtained and converted into finite element calculation models. The numerical analysis further enables the testing of mechanical material anisotropy and plastic deformation within the material’s meso-structure.

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DOI:https://doi.org/10.1016/j.commatsci.2013.08.021

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Citation Information:

Highlights • First paper to address the mechanical properties of Corevo® aluminium foam. • Micro-computed tomography (μCT) characterisation of the complex material geometry. • Finite element analysis based on μCT data. • Characterisation of mechanical anisotropy. This paper addresses the mechanical properties of Corevo® aluminium foam. The effective Young’s modulus, Poisson’s ratio, and material yield stress are determined. To this end, samples are tested using uni-axial compressive testing. In addition, micro-computed tomography data of the complex material geometry are obtained and converted into finite element calculation models. The numerical analysis further enables the testing of mechanical material anisotropy and plastic deformation within the material’s meso-structure.

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GB/T 7714-2015 [1] T. Fiedler, M.A. Sulong, V. Mathier, et al. Computational Materials Science, 2014(81). DOI:10.1016/j.commatsci.2013.08.021.
MLA [1] T. Fiedler, et al., Computational Materials Science, no. 81, 2014, https://doi.org/10.1016/j.commatsci.2013.08.021.
APA [1] T. Fiedler, M.A. Sulong, V. Mathier, I.V. Belova, C. Younger, & G.E. Murch. (2014). Computational Materials Science(81). https://doi.org/10.1016/j.commatsci.2013.08.021
IEEE [1] T. Fiedler, M.A. Sulong, V. Mathier, I.V. Belova, C. Younger, and G.E. Murch, Computational Materials Science, no. 81, 2014, doi: 10.1016/j.commatsci.2013.08.021.