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Hot Deformation Behavior of Inconel 718 Alloy Using Regression-based Dynamic Material Model and Applications in Ring Rolling Manufacturing
회귀기반의 동적재료모델을 이용한 Inconel 718 합금의 고온 변형 거동 분석 및 Ring rolling 공정의 적용
Seon Yeong Yang, Jin Wook Park, Jun Seok Yoon, Kwang Seok Lee, Dong-Geun Lee, Da Seul Shin
양선영, 박진욱, 윤준석, 이광석, 이동근, 신다슬
Korean J. Met. Mater. 2024;62(2):81-93.   Published online 2024 Jan 30
DOI: https://doi.org/10.3365/KJMM.2024.62.2.81

Abstract
Inconel 718 nickel-based alloy is extensively used in the aerospace industry (e.g., gas turbine engine components) because of its excellent corrosion resistance and high mechanical properties at elevated temperatures. However, there is a certain limit to manufacturing the alloy through plastic deformation due to its high deformation resistance and complicated..... More

                
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

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