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Reconstruction and Size Prediction of Prior Austenite Grain Boundary (PAGB) using Artificial Neural Networks
인공 신경망을 이용한 구오스테나이트 결정립계의 재구성 및 크기 예측
Bong-Kyu Kim, Nam Hoon Goo, Jong Hyuk Lee, Jun Hyun Han
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..... More

                        
Effects of Initial Precipitate on Shear Deformation during Asymmetric Rolling of Al-Mg-Si Alloy: Texture and Formability
Al-Mg-Si 합금의 초기 석출물이 비대칭 압연에 의한 전단변형에 미치는 영향 : 집합조직과 성형성
Wonkee Chae, Bong-Kyu Kim, Jongbeom Lee, Jun Hyun Han
채원기, 김봉규, 이종범, 한준현
Korean J. Met. Mater. 2020;58(10):703-714.   Published online 2020 Oct 5
DOI: https://doi.org/10.3365/KJMM.2020.58.10.703

Abstract
Al-Mg-Si alloy was rolled asymmetrically at several temperatures to apply shear deformation, and the effects of the initial precipitate on shear deformation, texture evolution, formability, and plastic anisotropy were studied. Texture was analyzed using a EBSD, and the formability and plastic anisotropy of the specimen were evaluated using the value..... More

                        
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