Microstructure and properties prediction and optimization of hot rolling process based on physical metallurgy and machine learning#br#

LI Xin, ZHOU Xiaoguang, CAO Guangming, CUI Chunyuan, WU Siwei, LIU Zhenyu

Metallurgical Industry Automation ›› 2023, Vol. 47 ›› Issue (2) : 16-26.

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Metallurgical Industry Automation ›› 2023, Vol. 47 ›› Issue (2) : 16-26. DOI: 10. 3969 / j. issn. 1000鄄7059. 2023. 02. 002
Frontier technology and review

Microstructure and properties prediction and optimization of hot rolling process based on physical metallurgy and machine learning#br#

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2023, 47(2): 16-26 https://doi.org/10. 3969 / j. issn. 1000鄄7059. 2023. 02. 002

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Bimonthly, Started in 1976
CN 11-2067/TF
ISSN 1000-7059
Competent Authority: China lron & Steel Association
Sponsor: Automation Research and Design Institute of Metallurgical Industry Co., Ltd.
CISRI Boyuan Publishing Co.,Ltd.
Editor and Publisher: CISRI Boyuan Publishing Co.,Ltd.
Postal Code: 2-321
Foreign Distributed Code: BM5548
Address: No.76 Xueyuan Nanlu, Beijing 100081, China
Tel: 010-62182720, 62181013
www.yjzdh.com, www.chinamet.cn
E-mail: mia@chinamet.cn
International publication Name Code: YEZIES
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