End-point Temperature Preset of Molten Steel in the Final Refining Unit Based on an Integration of Deep Neural Network and Multi-process Operation Simulation-Reference-Cited by-同舟云学术

End-point Temperature Preset of Molten Steel in the Final Refining Unit Based on an Integration of Deep Neural Network and Multi-process Operation Simulation

Published:2021-07-15 Issue:7 Volume:61 Page:2100-2110
ISSN:0915-1559
Container-title:ISIJ International
language:en
Short-container-title:ISIJ Int.

Author:

Yang Jianping¹,Zhang Jiangshan¹,Guo Weida²,Gao Shan²,Liu Qing³

Affiliation:

1. State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing

2. Laiwu Iron and Steel Group Yinshan Section Steel Co., Ltd.

3. Engineering Research Center of MES Technology for Iron & Steel Production, Ministry of Education

Publisher

Iron and Steel Institute of Japan

Subject

Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Link

https://www.jstage.jst.go.jp/article/isijinternational/61/7/61_ISIJINT-2020-540/_pdf

Reference40 articles.

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3. 3) P. D. Lee, P. E. Ramirez-Lopez, K. C. Mills and B. Santillana: Ironmaking Steelmaking, 39 (2012), 244.

4. 4) F. Bianco, V. Dimitrijevic, M. Piazza, A. Spadaccini and R. Turco: Stahl Eisen, 136 (2016), 129.

5. 5) J. -P. Birat: Metall. Res. Technol., 113 (2016), 201.

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