Deformation analysis of mille-feuille structure alloys during compression test by acoustic emission with machine learning

LIU Hanqing

Presentation information

Koubo Symposium

[S3] S3 Materials Science of Kink Strengthening II(2)

Thu. Sep 12, 2019 9:00 AM - 4:55 PM U (DaiKohgishistu at 3rd Flr. Faculty of Engineering, Build.No.1)

座長:三浦誠司(北海道大学)、江草大佑(東京大学)、染川英俊(国立研究開発法人　物質・材料研究機構)、稲邑朋也(東京工業大学)、萩原幸司(大阪大学)

10:35 AM - 10:50 AM

[S3.15] Deformation analysis of mille-feuille structure alloys during compression test by acoustic emission with machine learning

*LIU Hanqing¹, BRIFFOD Fabien¹, CHIVAVIBUL Pornthep¹, WU Kaige¹, SHIRAIWA Takayuki¹, ENOKI Manabu¹, EMURA Satoshi² (1. 東京大学、2. NIMS)

Keywords:magnesium、LPSO phase、mille-feuille structure、acoustic emission、machine learning

In this research, alloys with mille-feuille structure were studied with acoustic emission (AE) technology during compression tests while machine learning was applied to analyze the AE data.

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