A physics-enhanced deep learning method for predicting anode furnace lining lifetime

doi:10.3969/j.issn.1000-7059.20260044

ZHU Muye, XU Yuan, ZHAO Shuanghong, ZHU Pengchun, HE En, QIAN Qiang, DENG Baoan

Metallurgical Industry Automation ›› 2026, Vol. 50 ›› Issue (3) : 78-87.

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Metallurgical Industry Automation ›› 2026, Vol. 50 ›› Issue (3) : 78-87. DOI: 10.3969/j.issn.1000-7059.20260044

Special column of Application of AI in nonferrous metal Metals Industry

A physics-enhanced deep learning method for predicting anode furnace lining lifetime

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2026, 50(3): 78-87 https://doi.org/10.3969/j.issn.1000-7059.20260044

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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.
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