The Journal of
the Korean Journal of Metals and Materials

The Journal of
the Korean Journal of Metals and Materials

Monthly
  • pISSN : 1738-8228
  • eISSN : 2288-8241

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2022-09

202209 (Vol.60, No.9)

P.644

Optimization of Holographic Imprinting Process for Metallic Glass using Thermoplastic Forming

류욱하(Wook Ha Ryu); 류채우(Chae Woo Ryu); 김경준(Kyung Jun Kim); 곽민경(Min Kyung Kwak); 박은수(Eun Soo Park)
https://doi.org/10.3365/KJMM.2022.60.9.644
P.654

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 Pan)
https://doi.org/10.3365/KJMM.2022.60.9.654
P.668

Effects of Electron Irradiation on the Properties of ZnO/Au/ZnO Films Deposited on Poly-Imide Substrates

(Jin-kyu Jang); (Yun-je Park); (Yeon-hak Lee); (Jae-wook Choi); (Hyun-jin Kim); (Sung-bo Heo); (Young-min Kong); (Daeil Kim)
https://doi.org/10.3365/KJMM.2022.60.9.668
P.673

Mechanical and Microstructural Behaviors of Gas Tungsten Arc Dissimilar Metal Welds of High-Mn Steel and Stainless Steel 316L Using Various Fillers for Cryogenic Fuel Tanks

조철호(Chulho Cho); 남성길(Seongkil Nam); 유성훈(Sunghoon Yu); 최명환(Myeonghwan Choi); 강남현(Namhyun Kang)
https://doi.org/10.3365/KJMM.2022.60.9.673
P.685

Effects of Fillers on the Hydration Behaviors of Tricalcium Silicate Scaffolds Fabricated by Fused Deposition Modeling

(Yeongjin Koo); (Yoonjoo Lee); (Myung-hyun Lee); (Seog Young Yoon)
https://doi.org/10.3365/KJMM.2022.60.9.685
P.694

Electrical and Mechanical Properties of Polymer Composite through the Use of Single-Walled Carbon Nanotube and Multi-Walled Carbon Nanotube

강병호(Byung-ho Kang); 허오녕(Oh-nyoung Hur); 홍순국(Soon-kook Hong); 박성훈(Sung-hoon Park)
https://doi.org/10.3365/KJMM.2022.60.9.694
P.701

Analysis of Tensile Deformation Behavior of Rolled AZ31 Mg Alloy Subjected to Precompression and Subsequent Annealing Using DIC

이교명(Gyo Myeong Lee); 김정은(Jung Eun Kim); 박성혁(Sung Hyuk Park)
https://doi.org/10.3365/KJMM.2022.60.9.701
P.713

A Comparative Study of the Accuracy of Machine Learning Models for Predicting Tempered Martensite Hardness According to Model Complexity

전준협(Junhyub Jeon); 김동응(Dongeung Kim); 홍준호(Jun-ho Hong); 김휘준(Hwi-jun Kim); 이석재(Seok-jae Lee)
https://doi.org/10.3365/KJMM.2022.60.9.713