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Author :
Hyun-seok Cheon 2 Articles
132 Effect of Solution Temperature and Quench Delay on the Microstructure and Mechanical Properties of an Extruded Al-Mg-Si-Cu-Mn alloy
Al-Mg-Si-Cu-Mn 합금 압출재의 미세조직 및 기계적 성질에 미치는 용체화 온도와 퀜칭 지연의 영향
Jisu Kim, Jeki Jung, Hyun-Seok Cheon, Byung-joo Kim, Cha-Yong Lim, Su-Hyeon Kim, Yoon Suk Choi
김지수, 정제기, 천현석, 김병주, 임차용, 김수현, 최윤석
Korean J. Met. Mater. 2024;62(2):132-141.   Published online 2024 Jan 30
DOI: https://doi.org/10.3365/KJMM.2024.62.2.132

Abstract
The effect of solution temperature and quench delay on the microstructure and mechanical properties of an extruded Al-Mg-Si-Cu-Mn alloy was investigated by employing differential scanning calorimetry, transmission electron microscopy, hardness test, and tensile test. The extruded specimens were held at 500 and 540 oC, respectively, for 80 min for solutionizing..... More

                
874 Predicting the Hardness of Al-Sc-X Alloys with Machine Learning Models, Explainable Artificial Intelligence Analysis and Inverse Design
설명 가능한 인공지능으로 해석한 Al-Sc-X 합금의 경도 예측 기계학습 모델과 역설계
Jiwon Park, Su-Hyeon Kim, Jisu Kim, Byung-joo Kim, Hyun-seok Cheon, Chang-Seok Oh
박지원, 김수현, 김지수, 김병주, 천현석, 오창석
Korean J. Met. Mater. 2023;61(11):874-882.   Published online 2023 Oct 29
DOI: https://doi.org/10.3365/KJMM.2023.61.11.874

Abstract
In this study, the Vickers hardness of precipitation-strengthened Al-Sc-X (X = Zr, Si, and Fe) alloys were predicted using machine learning models, depending on the alloys’ compositions, solid-solution treatment and aging conditions. The data used for machine learning were collected from the literature. Among the models, tree-based ensemble models such..... More

                
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