Journal of Northeastern University(Natural Science) ›› 2025, Vol. 46 ›› Issue (8): 11-19.DOI: 10.12068/j.issn.1005-3026.2025.20250092

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Microstructure and Property Prediction of Hot-Rolled Steel: Development and Prospects from Physical Models to Human-Machine Hybrid Intelligence

Si-wei WU, Xiao-guang ZHOU, Zhen-yu LIU, Guo-dong WANG   

  1. State Key Laboratory of Digital Steel,Northeastern University,Shenyang 110819,China.
  • Received:2025-07-23 Online:2025-08-15 Published:2025-11-24
  • Contact: Zhen-yu LIU

Abstract:

The research progress of steel microstructure and property prediction models was reviewed, and the hot-rolled industrial model driven by human-machine hybrid intelligence and its components were introduced. By comprehensively utilizing physical metallurgy principles and artificial intelligence technologies, the microstructure evolution in the rolling process was deciphered. In addition, typical application cases of hot-rolled industrial models driven by human-machine hybrid intelligence were introduced in terms of three aspects: microstructure evolution and mechanical property prediction of hot-rolled steel, alloy composition reduction design of high-strength steel, and efficient rolling process development of wide thick plates. This provides references for promoting the rational design of steel research and development from experience-based trial and error to be driven by human-machine hybrid intelligence.

Key words: human-machine hybrid intelligence, microstructure evolution, property prediction, industrial model, hot rolling

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