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...

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Veröffentlicht in:	Materials & design Jg. 221; S. 110935
Hauptverfasser:	Deng, Yuedan, Zhang, Yu, Gong, Xiufang, Hu, Wang, Wang, Yucheng, Liu, Ying, Lian, Lixian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2022 Elsevier
Schlagworte:	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
Online-Zugang:	Volltext
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