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Articles in press have been peer-reviewed and accepted, which are not yet assigned to volumes /issues, but are citable by Digital Object Identifier (DOI).
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Preface to the 50th anniversary special issue of metallurgical industry automation
SUN Yanguang
2026, 50(4)
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Exploration and practice of industrial AI for metal rolling
WANG Guodong, TANG Shuai
2026, 50(4): 1-17. DOI: 10.3969/j.issn.1000-7059.20260239
Abstract PDF
AI-native steel plant: architecture exploration and functional design
ZHANG Yungui
2026, 50(4): 18-30. DOI: 10.3969/j.issn.1000-7059.20260194
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Knowledge and data-driven framework: intelligent modeling, deployment, and applications of big data in the iron and steel industry
WU Lingling, ZHANG Xinmin, LIU Xiaojie, JIANG Qingchao, SONG Zhihuan
2026, 50(4): 31-52. DOI: 10.3969/j.issn.1000-7059.20260206
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Intelligent manufacturing in ironmaking front-end processes empowered by industrial big data: a review of historical evolution, current applications, and future perspectives
YANG Chunjie, CAO Yang, JIN Jinwen, LIU Chenyang, HU Jiayu, LIU Yuhan, ZHOU Jiangle, LOU Siwei
2026, 50(4): 53-63. DOI: 10.3969/j.issn.1000-7059.20260100
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Application and prospects of precision control technology for hydraulic automatic gauge control systems in robust strip rolling processes
PENG Yan, LIU Xiaoyue, LI Yuxue, WANG Xiaoling, CHEN Zigang, WANG Wei, LI Qingye
2026, 50(4): 64-77. DOI: 10.3969/j.issn.1000-7059.20260148
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Research status and prospects of data-driven modeling and three-dimensional geometry control in hot strip rolling
DING Jingguo, DU Haozhan, ZHANG Caichen, LI Xu, CAO Jianzhao, LIU Hongzhi, ZHANG Dianhua
2026, 50(4): 78-92. DOI: 10.3969/j.issn.1000-7059.20260202
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Research progress and development discussion on optimization methods for hot rolling production planning in iron and steel manufacturing
WANG Yongzhou, ZHENG Zhong, YANG Yongjie, DONG Yingqian, SUN Bintao, QI Yan, DONG Zhili
2026, 50(4): 93-105. DOI: 10.3969/j.issn.1000-7059.20260197
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Design andapplication of a UAV-based intelligent inspection system for blast furnaces
CHEN Zhenmin, ZHANG Langyuan, CHEN Xiaochong, WU Jundong, WANG Yawu, WU Min
2026, 50(4): 106-120. DOI: 10.3969/j.issn.1000-7059.20260138
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Dynamic scheduling optimization model coupling material-flow laminarization and temperature drop for iron-steel interface
LI Xiaogang, SHENG Qi, LOU Siwei
2026, 50(4): 121-132. DOI: 10.3969/j.issn.1000-7059.20260145
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Operation control model of steelmaking-continuous casting process based on disturbance analysis of basic oxygen furnace tapping delay
ZHANG Mingzhi, CHEN Hongzhi, XIN Zicheng, GAO Zhibin, ZHANG Jiangshan, YANG Xijie, LIU Qing
2026, 50(4): 133-145. DOI: 10.3969/j.issn.1000-7059.20260099
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Research and application of intelligent surplus materials grouping plate system for wide and heavy plate production
LIU Yang, HE Anrui, SUN Hao, CHEN Bo, ZHANG Xuejun, WANG Fang, SUN Maojie, HUANG Lixin
2026, 50(4): 146-155. DOI: 10.3969/j.issn.1000-7059.20260088
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Development and application of intelligent control technology for precision rolling of ultra-thin high-strength strip
SUN Jie, WANG Junsheng, CHEN Shuzong, SUN Wenquan, LIU Yunfei, ZHANG Dianhua
2026, 50(4): 156-165. DOI: 10.3969/j.issn.1000-7059.20260208
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Improved YOLOv11based on multi-receptive field feature extraction and lightweight cross attention fusion for strip steel surface defect detection
JIANG Jiarui, FANG Yiming, LIU Le, ZHAO Dongliang
2026, 50(4): 166-177. DOI: 10.3969/j.issn.1000-7059.20260161
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Model and algorithm for joint optimization of order allocation and transportation mode in group-oriented iron and steel enterprises
ZHOU Jun, WANG Zihan, LIU Shixin
2026, 50(4): 178-187. DOI: 10.3969/j.issn.1000-7059.20260087
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