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ID 60282
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Author
Sakamoto, Junji Graduate School of Natural Science and Technology, Okayama University
Tada, Naoya Graduate School of Natural Science and Technology, Okayama University ORCID Kaken ID publons researchmap
Uemori, Takeshi Graduate School of Natural Science and Technology, Okayama University Kaken ID researchmap
Kuniyasu, Hayato Shimadzu Corporation
Abstract
Turbine blades for thermal power plants are exposed to severe environments, making it necessary to ensure safety against damage, such as crack formation. A previous method detected internal cracks by applying a small load to a target member. Changes in the surface properties of the material were detected before and after the load using a digital holographic microscope and a digital height correlation method. In this study, this technique was applied in combination with finite element analysis using a 2D and 3D model simulating the turbine blades. Analysis clarified that the change in the surface properties under a small load varied according to the presence or absence of a crack, and elucidated the strain distribution that caused the difference in the change. In addition, analyses of the 2D model considering the material anisotropy and thermal barrier coating were conducted. The difference in the change in the surface properties and strain distribution according to the presence or absence of cracks was elucidated. The difference in the change in the top surface height distribution of the materials with and without a crack was directly proportional to the crack length. As the value was large with respect to the vertical resolution of 0.2 nm of the digital holographic microscope, the change could be detected by the microscope.
Keywords
nondestructive inspection
crack detection
low loading
surface profile
turbine blade
finite element analysis
Published Date
2020-07-16
Publication Title
Applied Sciences
Volume
volume10
Issue
issue14
Publisher
MDPI
Start Page
4883
ISSN
2076-3417
Content Type
Journal Article
language
英語
OAI-PMH Set
岡山大学
Copyright Holders
© 2020 by the authors.
File Version
publisher
DOI
Web of Science KeyUT
Related Url
isVersionOf https://doi.org/10.3390/app10144883
License
http://creativecommons.org/licenses/by/4.0/
Funder Name
Japan Society for the Promotion of Science
助成番号
P18H01337