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Growth of β intermetallic in an Al-Cu-Si alloy during directional solidification via machine learned 4D quantification

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Title: Growth of β intermetallic in an Al-Cu-Si alloy during directional solidification via machine learned 4D quantification
Authors: Cai, B
Kao, A
Lee, PD
Boller, E
Basevi, H
Phillion, AB
Leonardis, A
Pericieous, K
Item Type: Journal Article
Abstract: Fe contamination is a serious composition barrier for Al recycling. In Fe-containing Al-Si-Cu alloy, a brittle and plate-shaped β phase forms, degrading the mechanical properties. Here, 4D (3D plus time) synchrotron X-ray tomography was used to observe the directional solidification of Fe-containing Al-Si-Cu alloy. The quantification of the coupled growth of the primary and β phase via machine learning and particle tracking, demonstrates that the final size of the β intermetallics were strongly influenced by the solute segregation and space available for growth whereas the β orientation was controlled by the temperature gradient direction. The work can be used to validate predictive models.
Issue Date: 1-May-2019
Date of Acceptance: 1-Feb-2019
URI: http://hdl.handle.net/10044/1/68166
DOI: https://dx.doi.org/10.1016/j.scriptamat.2019.02.007
ISSN: 1359-6462
Publisher: Elsevier
Start Page: 29
End Page: 33
Journal / Book Title: Scripta Materialia
Volume: 165
Copyright Statement: © 2019 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: 0912 Materials Engineering
0913 Mechanical Engineering
Materials
Publication Status: Published
Online Publication Date: 2019-02-15
Appears in Collections:Materials
Faculty of Engineering