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

In this paper, a state-of-the-art Artificial Intelligence (AI) technique is used for a precipitation hardening of Ni-based alloy to predict more flexible non-isothermal aging (NIA) and to examine the possible routes for the enhancement in strength that may be practically achieved. Additionally, AI i...

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Detalles Bibliográficos
Autores principales: Nandal, Vickey, Dieb, Sae, Bulgarevich, Dmitry S., Osada, Toshio, Koyama, Toshiyuki, Minamoto, Satoshi, Demura, Masahiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403502/
https://www.ncbi.nlm.nih.gov/pubmed/37542098
http://dx.doi.org/10.1038/s41598-023-39589-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403502/
https://www.ncbi.nlm.nih.gov/pubmed/37542098
http://dx.doi.org/10.1038/s41598-023-39589-2

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