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Korean J. Met. Mater.
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Korean Journal of Metals and Materials
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기계학습 모델 복잡도에 따른 템퍼드 마르텐사이트 경도 예측 정확도 비교 연구
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전준협, 김동응, 홍준호, 김휘준, 이석재
Korean J. Met. Mater.
2022;60(9):713-721. Published online 2022 Aug 30
DOI:
https://doi.org/10.3365/KJMM.2022.60.9.713
Abstract
We investigated various numerical methods including a physical-based empirical equation, linear regression, shallow neural network, and deep learning approaches, to compare their accuracy for predicting the hardness of tempered martensite in low alloy steels. The physical-based empirical equation, which had been previously proposed with experimental data, was labelled and used.....
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Web of Science 3
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고비강도와 고연신을 가지는 다중변형기구 하이엔트로피 합금 개발
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윤국노, 오현석, 이제인, 박은수
Korean J. Met. Mater.
2021;59(12):857-869. Published online 2021 Nov 19
DOI:
https://doi.org/10.3365/KJMM.2021.59.12.857
Abstract
In this study we developed a novel (TRIP+TWIP) high entropy alloy (HEA) with high specific strength and large ductility. First, by controlling the atomic constitution of the 3d transition metals (Cr, Mn, Fe, Co, and Ni), we designed a light-weight TRIP-assisted dual-phase HEA with a non-equiatomic composition of Cr
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Web of Science 1
Crossref 1
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