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Korean J. Met. Mater.
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Korean Journal of Metals and Materials
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이중 인공지능을 이용한 Al 7075 합금에서의 압광 균열 진단 연구
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박태오, 신윤우, 이승환, 좌비오, 권용남, Suman Timilsina, 장성민, 조철우, 김지식
Korean J. Met. Mater.
2023;61(12):958-964. Published online 2023 Nov 30
DOI:
https://doi.org/10.3365/KJMM.2023.61.12.958
Abstract
The phenomenon of mechanoluminescence (ML) refers to the emission of light induced by mechanical stimulation applied to mechano-optical materials for example SrAl
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:Eu,Dy (SAO). Numerous technologies on the basis of ML have been presented to visualize the stress or strain in various structures for the applications including structural health monitoring. As.....
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기계학습에 의한 Al-Si 주조 합금 미세조직 이미지 생성
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황인규, 이현지, 정상준, 조인성, 김희수
Korean J. Met. Mater.
2021;59(11):838-847. Published online 2021 Oct 28
DOI:
https://doi.org/10.3365/KJMM.2021.59.11.838
Abstract
In this study, we constructed a deep convolutional generative adversarial network (DCGAN) to generate the microstructural images that imitate the real microstructures of binary Al-Si cast alloys. We prepared four combinations of alloys, Al-6wt%Si, Al-9wt%Si, Al-12wt%Si and Al-15wt%Si for machine learning. DCGAN is composed of a generator and a discriminator......
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