日本金属学会2023年春期(第172回)講演大会

Presentation information

一般講演

6.Materials Processing » Solid process/ Solid and welding process

[G] Solid process/ Solid and welding process(2)

Thu. Mar 9, 2023 12:45 PM - 5:00 PM Rm. L (Rm.1312,1st Flr.,Buld.No.13)

Chair:KENTA AOYAGI(Institute for Materials Research, Tohoku University), Masayuki OKUGAWA(Osaka University),Kazuhito Ito(Osaka Univ.)

4:45 PM - 5:00 PM

[332] Damage evaluation during metal additive manufacturing by machine learning of AE waveforms

*Gaku Ito1, Kaita Ito2, Masahiro Kusano2, Takayuki Shiraiwa3, Makoto Watanabe2, Manabu Enoki3 (1. The Univ. of Tokyo, 2. NIMS, 3. The Univ. of Tokyo)

Keywords:金属積層造形、AE法、CNN

本研究ではAE法を用いた金属積層造形中の欠陥の種類を識別可能にすることを目的に、造形中に発生するAE信号を計測し機械学習を行った。

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