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Metals and Materials International
Erschienen in: Metals and Materials International 5/2023

11.10.2022

Prediction of Creep Life Using an Explainable Artificial Intelligence Technique and Alloy Design Based on the Genetic Algorithm in Creep-Strength-Enhanced Ferritic 9% Cr Steel

verfasst von: Byeong Ook Kong, Min Soo Kim, Byung Hoon Kim, Je Hyun Lee

Erschienen in: Metals and Materials International | Ausgabe 5/2023

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Abstract

Creep-strength-enhanced ferritic steels have been introduced for high-temperature components. The high accuracy of creep life prediction and new high creep-strength alloys are needed for safe long-term operation. In this paper, a data-driven method was used to overcome the limitations of the simple-parameter life prediction method that does not consider the complex interactions that occur between many input variables. The explainable artificial intelligence technology, such as the Shaply additive explanation value(SHAP), enables intuitive understanding of the effect of individual variables on creep life and helps to quantitatively evaluate the effect. The artificial intelligence model was optimized using a genetic algorithm, and a method for proposing an optimal alloy composition with a desired creep life could be presented. In this paper, the maximum expected creep life of 58,640 h in the standard component range of ASME SA213 T92 under the conditions of 650 °C and 100 MPa was predicted, and a new alloy composition having a creep life of over 100,000 h under the same conditions is proposed.

Graphical abstract

Vorheriger Artikel Mechanism of Ductility Enhancement of the Mg-8Gd-4Y-1Nd-0.5Si Alloy by Multi-Directional Forging Process before Extrusion
Nächster Artikel Comparison of Creep Fracture Behavior Between Selective Laser Melted and Forged Alloy 230 After Testing at 1200 °C

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Metadaten
Titel
Prediction of Creep Life Using an Explainable Artificial Intelligence Technique and Alloy Design Based on the Genetic Algorithm in Creep-Strength-Enhanced Ferritic 9% Cr Steel
verfasst von
Byeong Ook Kong
Min Soo Kim
Byung Hoon Kim
Je Hyun Lee
Publikationsdatum
11.10.2022
Verlag
The Korean Institute of Metals and Materials
Erschienen in
Metals and Materials International / Ausgabe 5/2023
Print ISSN: 1598-9623
Elektronische ISSN: 2005-4149
DOI
https://doi.org/10.1007/s12540-022-01312-7

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