Houichi Kitano
;
Tomoya Nagira
;
Fumiyoshi Yoshinaka
;
Takahiro Sawaguchi
;
Takayuki Yamashita
;
Yasuhiro Aoki
;
Hidetoshi Fujii
Description:
(abstract)Welding is a crucial joining technique used in various industrial fields. Recently, we developed an in-situ observation technique using high-brightness synchrotron X-rays to observe the formation of weld solidification microstructures. This study proposes a new method to evaluate the strain distribution and strain history of weld solidification zones using time-series in-situ images. The in-situ images were obtained using the beamline at SPring-8, and we employed an Fe-15Mn-10Cr-8Ni-4Si alloy (in mass%) developed for seismic dampers that is prone to solidification cracking during welding. The strain distribution obtained using the proposed method is compared with that calculated using the template matching method, and its effectiveness is verified. The obtained strain distribution corresponds to known findings, showing a consistent distribution regardless of the resolution of the in-situ images. The proposed method is useful for detailed strain evaluations in weld solidification zones and is expected to become a new tool for future research aimed at understanding solidification cracking, residual stress, and residual deformation in welding technologies.
Rights:
© 2024 The Author(s). Published by National Institute for Materials Science in partnership with Taylor & Francis Group
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
Keyword: Strain evaluation method; , in-situ observation, synchrotron X-ray, welding technology, machine learning, optical flow
Date published: 2024-12-31
Publisher: Informa UK Limited
Journal:
Funding:
Manuscript type: Publisher's version (Version of record)
MDR DOI:
First published URL: https://doi.org/10.1080/27660400.2024.2403964
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Updated at: 2024-11-13 12:30:30 +0900
Published on MDR: 2024-11-13 12:30:30 +0900
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