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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

                           Cited By 2
Comparative Study of Estimation Methods of the Endpoint Temperature in Basic Oxygen Furnace Steelmaking Process with Selection of Input Parameters
Tae Chang Park, Beom Seok Kim, Tae Young Kim, Il Bong Jin, Yeong Koo Yeo
Korean J. Met. Mater. 2018;56(11):813-821.   Published online 2018 Nov 5
DOI: https://doi.org/10.3365/KJMM.2018.56.11.813

Abstract
The basic oxygen furnace (BOF) steelmaking process in the steel industry is highly complicated, and subject to variations in raw material composition. During the BOF steelmaking process, it is essential to maintain the carbon content and the endpoint temperature at their set points in the liquid steel. This paper presents..... More

                           Cited By 5
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