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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 4
Crossref 4
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Cr강의 미세조직과 파괴인성에 미치는 열간단조 및 열처리 공정의 영향
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이동준, 권용남, 김민석, 구가은, 허상현, 김남용, 이진모
Korean J. Met. Mater.
2018;56(3):221-226. Published online 2018 Mar 6
DOI:
https://doi.org/10.3365/KJMM.2018.56.3.221
Abstract
In this study, the effects of hot forging and heat treatment (quenching and tempering) of cast Cr alloy steel on the microstructures and mechanical properties were investigated. The hot forging was performed at a compressive ratio 0.5 at 1,250
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