Prediction of Creep Curves Based on Back Propagation Neural Networks for Superalloys

Creep deformation is one of the main failure forms for superalloys during service and predicting their creep life and curves is important to evaluate their safety. In this paper, we proposed a back propagation neural networks (BPNN) model to predict the creep curves of MarM247LC superalloy under dif...

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Veröffentlicht in:	Materials 2022-09, Vol.15 (19), p.6523
Hauptverfasser:	Ma, Bohao, Wang, Xitao, Xu, Gang, Xu, Jinwu, He, Jinshan
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Artificial neural networks Back propagation Back propagation networks Communication Comparative analysis Crack initiation Creep life Creep strength Creep tests Error reduction Heat resistant alloys High temperature Learning Neural networks Nickel base alloys Projection model Propagation Superalloys Theta projections
Online-Zugang:	Volltext
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