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Korean J. Met. Mater.
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Korean Journal of Metals and Materials
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Effect of Oxygen Content on Microstructure and Mechanical Properties of Additive Manufactured Ti-6Al-4V
산소함량에 따른 Ti-6Al-4V 적층제조 조형체의 미세조직 및 기계적 특성 변화
Tae Jin Kang, P. L Narayana, Seong Woo Choi, Jae Hyuk Kim, Jae-Keun Hong, Taekyung Lee강태진, P.L. Narayana, 최성우, 김재혁, 홍재근, 이태경
Korean J. Met. Mater.
2023;61(9):714-720. Published online 2023 Aug 30
DOI:
https://doi.org/10.3365/KJMM.2023.61.9.714
Abstract
Titanium alloys are used in many fields including military, aerospace, and biomedical because of their excellent specific strength, corrosion resistance, and biocompatibility. Recently, much research has been focused on addressing the disadvantages of conventional manufacturing methods, including reducing material and energy waste when manufacturing titanium alloy parts by additive manufacturing.....
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Web of Science 5
Crossref 7
Enhancing mechanical properties of Mg-Gd-Y-Zn alloys via microalloying with Ce and La
Zhaobin Zhang, Jonghyun Kim, Hongxin Liao, Ki Buem Kim, Taekjib Choi, Taekyung Lee, Fusheng Pan김기범, 최택집, 이태경,
Korean J. Met. Mater.
2022;60(9):654-667. Published online 2022 Aug 30
DOI:
https://doi.org/10.3365/KJMM.2022.60.9.654
Abstract
This study investigated the microstructure and mechanical properties of Mg-1Gd-1Y-1Zn (at.%) alloys containing designed amounts of Ce or La. The Mg
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(Gd,Zn) phase formed in the as-cast Mg-Gd-Y-Zn-Ce/La alloys and disappeared after a homogenization treatment at 500°C for 24 h. The addition of Ce and La resulted in the formation of.....
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Web of Science 4
Crossref 4
Prediction of Electropulse-Induced Nonlinear Temperature Variation of Mg Alloy Based on Machine Learning
기계 학습을 활용한 마그네슘 합금의 통전 비선형 온도 예측
Jinyeong Yu, Myoungjae Lee, Young Hoon Moon, Yoojeong Noh, Taekyung Lee유진영, 이명재, 문영훈, 노유정, 이태경
Korean J. Met. Mater.
2020;58(6):413-422. Published online 2020 May 19
DOI:
https://doi.org/10.3365/KJMM.2020.58.6.413
Abstract
Electropulse-induced heating has attracted attention due to its high energy efficiency. However, the process gives rise to a nonlinear temperature variation, which is difficult to predict using a traditional physics model. As an alternative, this study employed machine-learning technology to predict such temperature variation for the first time. Mg alloy.....
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Web of Science 12
Crossref 11
Enhanced Resistance to Delayed Cracking in Deep-drawn Lean Duplex Stainless Steel: the Role of Residual Stress
Seok Hwan Jung, Taekyung Lee, Seok Weon Song, Young Jin Kwon, Hyung-Gu Kang, Dongchul Chae, Chong Soo Lee
Korean J. Met. Mater.
2017;55(8):544-549. Published online 2017 Aug 1
DOI:
https://doi.org/10.3365/KJMM.2017.55.8.544
Abstract
The delayed cracking behavior of deep-drawn lean duplex stainless steel (LDSS) was investigated, and compared with that of conventional metastable austenitic stainless steels (MASS). Hydrogen charging was performed by electrochemical method, and the hydrogen-charged specimens were subjected to the slow-strain-rate test. Fractures occurred along the phase boundaries in the LDSS,.....
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Crossref 2
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