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Korean J. Met. Mater.
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Korean Journal of Metals and Materials
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기계학습 모델 복잡도에 따른 템퍼드 마르텐사이트 경도 예측 정확도 비교 연구
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전준협, 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.....
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Web of Science 3
Crossref 3
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Si 및 Al 함량과 항온열처리조건이 초고강도 마르텐사이트-베이나이트 Fe-0.2C-2.0Mn 복합조직강의 미세조직과 인장특성에 미치는 영향
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이응혁, 유창재, 이홍범, 김지훈, 서동우
Korean J. Met. Mater.
2021;59(9):602-612. Published online 2021 Aug 4
DOI:
https://doi.org/10.3365/KJMM.2021.59.9.602
Abstract
This study investigated the influence of partial replacement of Si by Al on the microstructure and tensile properties of ultra-high strength steels with martensite-bainite complex microstructure produced by austenitization and subsequent isothermal heat treatment around M
s
temperature. When the isothermal heat treatment was done below the M
s
temperature, the fraction.....
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Web of Science 4
Crossref 4
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인공 신경망을 이용한 구오스테나이트 결정립계의 재구성 및 크기 예측
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김봉규, 구남훈, 이종혁, 한준현
Korean J. Met. Mater.
2020;58(12):822-829. Published online 2020 Dec 4
DOI:
https://doi.org/10.3365/KJMM.2020.58.12.822
Abstract
To automatically reconstruct the prior austenite grains from as-quenched martensitic structure, we applied a deep learning algorithm to recognize the prior austenite grains boundaries hidden in the martensitic matrix. The FC-DenseNet architecture based on FCN (fully convolutional networks) was used to train the martensite and ground truth label of the.....
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Web of Science 4
Crossref 3
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Ti-44.5Ni-5Cu 및 Ti-45.2Ni-5Cu(at%) 합금의 형상기억특성에 미치는 어닐링온도의 영향
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김재일, 황광선
Korean J. Met. Mater.
2019;57(9):562-568. Published online 2019 Aug 21
DOI:
https://doi.org/10.3365/KJMM.2019.57.9.562
Abstract
The effect of annealing temperature on shape memory properties in the Ti-44.5Ni-5Cu and Ti-45.2Ni-5Cu(at%) alloys was investigated by differential scanning calorimeter (DSC) and tensile testing. The martensitic transformation temperature of Ti-44.5Ni-5Cu(at%) increased from 308K to 324K with increasing annealing temperature and did not change with further increasing annealing temperature. This.....
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Web of Science 2
Crossref 2
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피로손상된 제진합금의 인장성질에 미치는 피로응력 크기의 영향
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이명수, 김권후, 강창룡
Korean J. Met. Mater.
2019;57(2):71-76. Published online 2019 Jan 8
DOI:
https://doi.org/10.3365/KJMM.2019.57.2.71
Abstract
This study was carried out to investigate the effect of fatigue stress magnitude on the tensile properties of the damaged Fe – 22Mn – 12Cr – 3Ni – 2Si – 4Co damping alloy under various fatigue stress magnitudes. α´ and ε-martensite were formed by fatigue stress in the Fe –.....
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Crossref 1
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핫스탬핑용 30MnB5강의 템퍼링 조건에 따른 미세조직 및 기계적 물성 연구
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정준영, 박상천, 신가영, 이창욱, 김태정, 최민수
Korean J. Met. Mater.
2018;56(11):787-795. Published online 2018 Nov 5
DOI:
https://doi.org/10.3365/KJMM.2018.56.11.787
Abstract
The effects of tempering condition on the microstructure and mechanical properties of 30MnB5 hot stamping steel were investigated in this study. Before the tempering, hot-stamped 30MnB5 steel was composed of only α′-martensite microstructure without precipitates. After the tempering at 180 ℃ for 120 min, nano-sized ε-carbides were precipitated in the.....
More
Crossref 9
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극저온압연한 저탄소망간강의 초기 미세조직과 어닐링 조건이 기계적성질에 미치는 영향
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이종철, 남원종
Korean J. Met. Mater.
2018;56(8):551-560. Published online 2018 Aug 5
DOI:
https://doi.org/10.3365/KJMM.2018.56.8.551
Abstract
The effect of annealing on the microstructural evolution of the matrix in low carbon manganese steels with different initial microstructures, including martensite, bainite and a mixture of ferrite and pearlite, was investigated in conjunction with the charge in mechanical properties. During annealing, steels with a deformed ferrite + pearlite microstructure.....
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316L 스테인리스강에서 마르텐사이트 생성거동에 미치는 가공열처리의 영향
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김종식, 김재남, 강창룡
Korean J. Met. Mater.
2018;56(4):265-271. Published online 2018 Apr 5
DOI:
https://doi.org/10.3365/KJMM.2018.56.4.265
Abstract
This study was carried out to investigate the effect of thermo-mechanical treatment on the formation behavior of martensite in 316L stainless steel. Dislocation, α' and ε-martensite were formed by thermo-mechanical treatment. Martensite with surface relief and specific direction was formed by thermo-mechanical treatment. Martensite formed by thermo-mechanical treatment were reversed.....
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Cr강의 미세조직과 파괴인성에 미치는 열간단조 및 열처리 공정의 영향
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이동준, 권용남, 김민석, 구가은, 허상현, 김남용, 이진모
Korean J. Met. Mater.
2018;56(3):221-226. Published online 2018 Mar 6
DOI:
https://doi.org/10.3365/KJMM.2018.56.3.221
Abstract
In this study, the effects of hot forging and heat treatment (quenching and tempering) of cast Cr alloy steel on the microstructures and mechanical properties were investigated. The hot forging was performed at a compressive ratio 0.5 at 1,250
o
C. The heat treatment process was quenching (860
o
C for 2.....
More
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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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