Previous issue | > Previous issue |
|
|
|
|
629 |
Advances in Atomic Force Microscopy for the Electromechanical Characterization of Piezoelectric and Ferroelectric Nanomaterials
Kwanlae Kim김관래
Korean J. Met. Mater. 2022;60(9):629-643. Published online 2022 Aug 30 DOI: https://doi.org/10.3365/KJMM.2022.60.9.629
Abstract
Given the social demand for self-powering wearable electronics, it is necessary to develop composite materials that exhibit both good flexibility and excellent piezoelectric performances. Intensive research on synthesis methods and devising characterization techniques for piezoelectric nanomaterials in various forms has been conducted. In particular, characterization techniques for piezoelectric nanomaterials require..... More
|
|
|
|
644 |
Optimization of Holographic Imprinting Process for Metallic Glass using Thermoplastic Forming
열가소성 성형을 이용한 비정질 합금의 홀로그램 임프린팅 공정 최적화
Wook Ha Ryu, Chae Woo Ryu, Kyung Jun Kim, Min Kyung Kwak, Eun Soo Park류욱하, 류채우, 김경준, 곽민경, 박은수
Korean J. Met. Mater. 2022;60(9):644-653. Published online 2022 Aug 30 DOI: https://doi.org/10.3365/KJMM.2022.60.9.644
Abstract
The thermoplastic forming (TPF) process of metallic glass (MG) is a unique and powerful method that cannot be performed using conventional crystalline alloys. Because the mechanical and thermal properties of MGs are more favorable with smaller sample sizes, TPF is particularly useful for microscale and nanoscale part molding and micro-patterning...... More
|
|
|
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 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 5(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..... More
|
|
|
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 Kim장진규, 박윤제, 이연학, 최재욱, 김현진, 허성보, 공영민, 김대일
Korean J. Met. Mater. 2022;60(9):668-672. Published online 2022 Aug 30 DOI: https://doi.org/10.3365/KJMM.2022.60.9.668
Abstract
Transparent and conductive ZnO 50 nm/Au 8 nm/ZnO 50 nm tri-layer films were deposited on poly-imide films by radio frequency (RF) and direct current (DC) magnetron sputtering at room temperature, and then the effect of electron irradiation on the crystallization, electrical resistivity and optical properties of the films was considered..... More
|
|
|
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
극저온 연료탱크용 고망간강과 스테인리스강 316L 이종금속 용접부의 가스텅스텐아크 용접재료별 기계적 성질 및 미세조직
Chulho Cho, Seongkil Nam, Sunghoon Yu, Myeonghwan Choi, Namhyun Kang조철호, 남성길, 유성훈, 최명환, 강남현
Korean J. Met. Mater. 2022;60(9):673-684. Published online 2022 Aug 30 DOI: https://doi.org/10.3365/KJMM.2022.60.9.673
Abstract
The gas tungsten arc (GTA) weldability of high-Mn (HMn) steel and austenitic stainless steel (STS) 316L using dissimilar metal welds (DMWs) was investigated, to fabricate a fuel tank for an LNG-fueled ship. Three types of welding fillers, HMn steel, STS 309LMo and Inconel 625, were applied to the DMWs. The..... More
|
|
|
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 Yoon구영진, 이윤주, 이명현, 윤석영
Korean J. Met. Mater. 2022;60(9):685-693. Published online 2022 Aug 30 DOI: https://doi.org/10.3365/KJMM.2022.60.9.685
Abstract
With the development of additive manufacturing technology, many types of materials are being utilized, and methods of printing the materials and characteristics of their hydration properties are being studied in the fields of construction and biotechnology. Tricalcium silicate (C3S), which is used as a cement material or biomaterial, is a..... More
|
|
|
694 |
Electrical and Mechanical Properties of Polymer Composite through the Use of Single-Walled Carbon Nanotube and Multi-Walled Carbon Nanotube
단일벽 탄소나노튜브와 다중벽 탄소나노튜브 사용에 따른 고분자 복합체의 기계적, 전기적 물성
Byung-Ho Kang, Oh-Nyoung Hur, Soon-Kook Hong, Sung-Hoon Park강병호, 허오녕, 홍순국, 박성훈
Korean J. Met. Mater. 2022;60(9):694-700. Published online 2022 Aug 30 DOI: https://doi.org/10.3365/KJMM.2022.60.9.694
Abstract
To manufacture composites with required properties, it is extremely important to select an appropriate filler. Carbon-based nano materials such as carbon black, graphene and carbon nanotube (CNT) have been extensively investigated as reinforcing and conducting fillers. Because of their high aspect ratio coupled with superior physical properties, 1-dimensional CNTs are..... More
|
|
|
701 |
Analysis of Tensile Deformation Behavior of Rolled AZ31 Mg Alloy Subjected to Precompression and Subsequent Annealing Using DIC
DIC를 활용한 선압축과 후열처리 공정을 거친 AZ31 마그네슘 압연재의 인장 변형 거동 분석
Gyo Myeong Lee, Jung Eun Kim, Sung Hyuk Park이교명, 김정은, 박성혁
Korean J. Met. Mater. 2022;60(9):701-712. Published online 2022 Aug 30 DOI: https://doi.org/10.3365/KJMM.2022.60.9.701
Abstract
This study investigates the effects of precompression and subsequent annealing on the tensile deformation behavior of a rolled AZ31 Mg alloy at room temperature using digital image correlation (DIC). When the as-rolled sample (AR sample) is subjected to precompresssion along the rolling direction (RD) and transverse direction (TD), the sample’s..... More
|
|
|
713 |
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 Lee전준협, 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
|
|
|
|
|