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A Comparative Study of the Accuracy of Machine Learning Models for Predicting Tempered Martensite Hardness According to Model Complexity
기계학습 모델 복잡도에 따른 템퍼드 마르텐사이트 경도 예측 정확도 비교 연구
Junhyub Jeon, DongEung Kim, Jun-Ho Hong, Hwi-Jun Kim, Seok-Jae Lee
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..... More

                   Web of Science 4  Crossref 4
Effect of Heat-Treatment on the Elevated Temperature Compression and Compressive Creep Properties of Fe-14Cr Ferritic Oxide Dispersion Strengthened (ODS) Steel
Fe-14Cr계 페라이틱 산화물 분산 강화강의 고온 압축 및 크리프 특성에 미치는 열처리의 영향
Young-Kyun Kim, Yeun-Ah Joo, Jong-Kwan Park, Hwi-Jun Kim, Man-Sik Kong, Kee-Ahn Lee
김영균, 주연아, 박종관, 김휘준, 공만식, 이기안
Korean J. Met. Mater. 2017;55(12):862-869.   Published online 2017 Dec 4
DOI: https://doi.org/10.3365/KJMM.2017.55.12.862

Abstract
This study investigated the microstructure and the ambient-elevated temperature compression and elevated temperature creep properties of Fe-14Cr ferritic ODS steel manufactured by mechanical alloying (high energy ball milling) and hot extrusion processes. Initial microstructural observation of the as-extruded material identified elongated grains in the direction of extrusion; however, some recrystallization..... More

    
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