Traditional additive manufacturing ultra-high strength steel uses a large number of expensive alloying elements and complex heat treatment processes, and its engineering application is limited due to poor corrosion resistance. Recently, the team of Professor Zhu Hongmei from the School of Mechanical Engineering of the University of South China and Associate Professor Zhu Tao from the School of Computer Science published an article entitled“Interpretable machine learning integrated with physicochemical feature for developing additively manufactured ultra-high strength and ductility steel”in the International Journal of Extreme Manufacturing (IF: 21.3), an international authoritative journal in the field of manufacturing. IJEM journal ranked first in the field of engineering/manufacturing for three consecutive years, and is the first manufacturing journal with an impact factor of more than 20.

Explainable machine learning that integrates physical and chemical characteristics drives low-cost, short-process, corrosion-resistant, ultra-high-strength steel design strategies

This study establishes a set of efficient design methods for additive manufacturing ultra-high strength steel driven by explainable machine learning based on physical and chemical characteristics, breaking through the bottleneck of long research and development cycle and high cost of the traditional "trial and error method", and successfully developing an ultra-high strength and toughness steel with ultra-high strength, high elongation and excellent corrosion resistance for laser additive manufacturing. It can meet the urgent needs of complex forming and rapid repair of key components in major national fields such as aerospace and national defense and military industry, and opens up a new path for the efficient development of additive manufacturing ultra-high strength and toughness steel, realizes the triple breakthrough of material cost reduction, preparation process simplification and comprehensive performance improvement, and also provides an important reference for the optimal design of other alloy systems. Professor Zhu Hongmei is the corresponding author, Luo Yating, a master's student, is the first author, and the University of South China is the first signatory.

Paper link: https://doi.org/10.1088/2631-7990/ae5006