日本金属学会2024年秋期(第175回)講演大会

Presentation information

ポスターセッション

11.Computational Science » Computational Science

[P] P1~P6

Wed. Sep 18, 2024 12:00 PM - 1:30 PM Poster Session Room1 (Assembly Hall at Osaka Univ. Hall)

12:00 PM - 1:30 PM

[P5] 機械学習された応力-ひずみ曲線 (Machine Learned Stress-Strain Curves)

*Dmitry Bulgarevich1, Makoto Watanabe1 (1. National Institute for Materials Science (NIMS), Japan)

Keywords:stress-strain curves、additive manufacturing、representative volume elements、crystal plasticity simulations、machine learning

Based on crystal plasticity simulations of experimental stress-strain curves (SSCs), we report the direct link of experimental conditions and predicted SSCs by using different machine learning tools.