日本金属学会2022年秋期(第171回)講演大会

Presentation information

一般講演

8.Structural Materials » Light Metals

[G] Light Metals

Thu. Sep 22, 2022 12:30 PM - 4:20 PM Rm. L (D36,3Flr. Build.D)

Chair:Mami Narita(Nagoya Institute of Techmology)

3:50 PM - 4:05 PM

[268] Feasibility Study on Development of Heat-resistant Al-based Alloys by Machine Learning

*JINSHIAN HUANG1, DAISUKE ANDO1, YUJI SUTOU1,2 (1. Tohoku Univ. (Eng), 2. Tohoku Univ. (AIMR))

Keywords:Machine Learning、Aluminum alloys、Heat-resistant

Based on published data, the feature-integrated machine learning model was used to predict the Al-based alloys that have high strength at elevated temperatures.

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