An intelligent design for Ni-based superalloy based on machine learning and multi-objective optimization

[Display omitted] •A prediction model of Multi-objective Evolutionary Algorithm combined with Machine Learning was established to optimize multiple properties simultaneously.•Ni-based superalloy candidates were obtained with high γ′ solves temperature, high γ′ volume fraction and low topologically c...

Celý popis

Podrobná bibliografie

Vydáno v:	Materials & design Ročník 221; s. 110935
Hlavní autoři:	Deng, Yuedan, Zhang, Yu, Gong, Xiufang, Hu, Wang, Wang, Yucheng, Liu, Ying, Lian, Lixian
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.09.2022 Elsevier
Témata:	Machine learning Microscopic parameters Multi-objective evolutionary algorithm Ni-based superalloys Thermo-Calc Ni-based superalloys Multi-objective evolutionary algorithm Microscopic parameters Thermo-Calc Machine learning
ISSN:	0264-1275, 1873-4197
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!