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  4. Growth of β intermetallic in an Al-Cu-Si alloy during directional solidification via machine learned 4D quantification
 
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Growth of β intermetallic in an Al-Cu-Si alloy during directional solidification via machine learned 4D quantification
File(s)
J295_Cai_Scripta_as_accepted_2019.pdf (1.39 MB)
Accepted version
Author(s)
Cai, B
Kao, A
Lee, PD
Boller, E
Basevi, H
more
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.
Date Issued
2019-05-01
Date Acceptance
2019-02-01
Citation
Scripta Materialia, 2019, 165, pp.29-33
URI
http://hdl.handle.net/10044/1/68166
DOI
https://www.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/
Subjects
0912 Materials Engineering
0913 Mechanical Engineering
Materials
Publication Status
Published
Date Publish Online
2019-02-15
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