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Filtering by: Author Masahiko Demura Publisher Springer Science and Business Media LLC Visibility open

Artificial intelligence inspired design of non-isothermal aging for γ–γ′ two-phase, Ni–Al alloys

Description/Abstract:

最先端のAIアルゴリズムを活用して，ニッケル基合金において，高温強度をより高くするための時効熱処理を考案した．これまでは等温時効が一般であったところを昇温や降温を含めた複雑な時効熱処理パターンの膨大組み合わせ（約35億通り）から，等温時効を凌駕するパターンを見出すことに挑戦...

Keyword:

Artificial Intelligence, Gamma and Gamma' two-phase microstructure, Heat resistant alloys, High-temperature strength, Inverse design, Ni-Al alloy, and non-isothermal aging

Resource Type:

Article

Author:

Vickey Nandal, Sae Dieb, Dmitry S. Bulgarevich, Toshio Osada, Toshiyuki Koyama, Satoshi Minamoto, and Masahiko Demura

Journal:

Scientific Reports

Date Uploaded:

09/08/2023