日本金属学会2024年秋期(第175回)講演大会

Presentation information

公募シンポジウム講演

[S4] S4.Materials DX for the research and development of structural materials for extreme environment (II)(1)

Wed. Sep 18, 2024 1:00 PM - 4:25 PM Room H (A202 2nd floor Building A Center for Education in Liberal Arts and Sciences)

座長:大森 俊洋(東北大学)、及川 勝成(東北大学)

2:55 PM - 3:15 PM

[S4.8] Microstructure and mechanical property analyses of Mo-Nb-Ti-C alloys using Machine Learning

*Xinyu Yan1, Shuntaro Ida2, Kyosuke Yoshimi3 (1. Tohoku Univ. (Graduate school), 2. Tohoku Univ. (Present JFCC), 3. Tohoku Univ.)

Keywords:High-temperature materials、Mo-Nb-Ti-C、Machine learning、Microstructure、Fracture toughness、Hardness

This study applies machine learning techniques to develop models for the quantitative analysis of microstructures and the prediction of mechanical properties in Mo-Nb-Ti-C alloys.