| Title |
Machine Learning of the Creep Life of Heat-resistant Steels Collected from a Literature Survey and Thermodynamic Assessment of AI-generated Virtual Heat-resistant Steels |
| Authors |
조태현(Taehyeon Cho) ; 신동원(Dongwon Shin) ; 최윤석(Yoon Suk Choi) |
| DOI |
https://doi.org/10.3365/KJMM.2026.64.2.147 |
| ISSN |
1738-8228(ISSN), 2288-8241(eISSN) |
| Keywords |
Heat resistant steel; Creep life prediction; Machine learning; Generative AI; Computational thermodynamics |
| Abstract |
In this study, a methodology to assess the creep life of commercial and virtual heat-resistant steels is proposed by combining the forward machine learning model, which was trained by creep data collected from a literature survey, with AI-generated virtual heat-resistant steel compositions, of which the metallurgical feasibility was verified using thermodynamic calculations. |