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ID 68349
Author
Arakawa, Jinta Graduate School of Natural Science and Technology, Okayama University
Yabuki, Ryo Graduate School of Natural Science and Technology, Okayama University
Uemori, Takeshi Graduate School of Natural Science and Technology, Okayama University Kaken ID researchmap
Ito, Masato Innovation Center, Mitsubishi Materials Corporation
Yaguchi, Kenichi Innovation Center, Mitsubishi Materials Corporation
Abstract
In this study, it was conducted to observe the propagation behavior of small fatigue cracks generated on the surface of α-brass and pure copper, using an electrodynamic plane bending fatigue testing machine. The EBSD method was also used to analyze the crystal orientation near the bottom of the notch on the surface of the test piece. For each slip system of the grain, we calculated the slip factor, defined as the ratio of resolved shear stresses that considers the singular stress field at the crack tip, and investigated the relationship between the propagation behavior of small cracks and the slip factor. Furthermore, we performed a crystal plasticity finite element analysis (CP-FEM) using a crystal plasticity FEM model created from the grains obtained by the EBSD method to predict the deflection behavior of small fatigue cracks when propagating through the grain boundaries. The results indicated that when a crack propagates across a grain boundary, it is difficult to predict the deflection behavior using slip factors, however, the deflection behavior of a crack can be predicted from the resolved shear stress calculated using CP-FEM, which considers the mechanical interactions between crystal grains.
Keywords
Small fatigue crack
Crystal orientation
CP-FEM
EBSD
Note
© 2025 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
This fulltext file will be available in Jan. 2027.
Published Date
2025-03-15
Publication Title
Engineering Failure Analysis
Volume
volume170
Publisher
Elsevier BV
Start Page
109242
ISSN
1350-6307
NCID
AA11028313
Content Type
Journal Article
language
English
OAI-PMH Set
岡山大学
Copyright Holders
© 2025 Elsevier Ltd.
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DOI
Web of Science KeyUT
Related Url
isVersionOf https://doi.org/10.1016/j.engfailanal.2024.109242
License
https://creativecommons.org/licenses/by-nc-nd/4.0/