Skip to main content

Research Repository

Advanced Search

Characterization of the Convoluted 3D Intermetallic Phases in a Recycled Al Alloy by Synchrotron X-ray Tomography and Machine Learning

Li, Zhenhao; Qin, Ling; Guo, Baisong; Yuan, Junping; Zhang, Zhiguo; Li, Wei; Mi, Jiawei

Authors

Zhenhao Li

Ling Qin

Baisong Guo

Junping Yuan

Zhiguo Zhang

Wei Li



Abstract

Fe-rich intermetallic phases in recycled Al alloys often exhibit complex and 3D convoluted structures and morphologies. They are the common detrimental intermetallic phases to the mechanical properties of recycled Al alloys. In this study, we used synchrotron X-ray tomography to study the true 3D morphologies of the Fe-rich phases, Al2Cu phases and casting defects in an as-cast Al-5Cu-1.5Fe-1Si alloy. Machine learning-based image processing approach was used to recognize and segment the different phases in the 3D tomography image stacks. In the studied condition, the β-Al9Fe2Si2 and ω-Al7Cu2Fe are found to be the main Fe-rich intermetallic phases. The β-Al9Fe2Si2 phases exhibit a spatially connected 3D network structure and morphology which in turn control the 3D spatial distribution of the Al2Cu phases and the shrinkage cavities. The Al3Fe phases formed at the early stage of solidification affect to a large extent the structure and morphology of the subsequently formed Fe-rich intermetallic phases. The machine learning method has been demonstrated as a powerful tool for processing big datasets in multidimensional imaging-based materials characterization work.

Citation

Li, Z., Qin, L., Guo, B., Yuan, J., Zhang, Z., Li, W., & Mi, J. (2022). Characterization of the Convoluted 3D Intermetallic Phases in a Recycled Al Alloy by Synchrotron X-ray Tomography and Machine Learning. Acta Metallurgica Sinica (English Letters), 35(1), 115–123. https://doi.org/10.1007/s40195-021-01312-3

Journal Article Type Article
Acceptance Date Jul 30, 2021
Online Publication Date Sep 12, 2021
Publication Date 2022-01
Deposit Date Apr 11, 2022
Publicly Available Date Mar 29, 2024
Journal Acta Metallurgica Sinica (English Letters)
Print ISSN 1006-7191
Electronic ISSN 2194-1289
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 35
Issue 1
Pages 115–123
DOI https://doi.org/10.1007/s40195-021-01312-3
Keywords Recycled Al alloy; Solidification; Synchrotron X-ray tomography; Machine learning; Fe-rich intermetallic phases
Public URL https://hull-repository.worktribe.com/output/3842311

Files

Accepted manuscript (1.2 Mb)
PDF

Copyright Statement
©2021 The authors. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder





You might also like



Downloadable Citations