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Korean J. Met. Mater.
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Author is indexed since 2016
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 Choi김지수, 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
o
C, respectively, for 80 min for solutionizing.....
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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 Oh박지원, 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.....
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