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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ma, Bohao, Wang, Xitao, Xu, Gang, Xu, Jinwu, He, Jinshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572561/
https://www.ncbi.nlm.nih.gov/pubmed/36233865
http://dx.doi.org/10.3390/ma15196523
_version_ 1784810645959475200
author Ma, Bohao
Wang, Xitao
Xu, Gang
Xu, Jinwu
He, Jinshan
author_facet Ma, Bohao
Wang, Xitao
Xu, Gang
Xu, Jinwu
He, Jinshan
author_sort Ma, Bohao
collection PubMed
description 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 different conditions. It was found that the prediction errors for the creep curves were within ±20% after using six creep curves for training. Compared with the θ projection model, the maximum error was reduced by 30%. In addition, it is validated that this method is applicable to the prediction of creep curves for other superalloys such as DZ125 and CMSX-4, indicating that the model has a wide range of applicability.
format Online
Article
Text
id pubmed-9572561
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-95725612022-10-17 Prediction of Creep Curves Based on Back Propagation Neural Networks for Superalloys Ma, Bohao Wang, Xitao Xu, Gang Xu, Jinwu He, Jinshan Materials (Basel) Communication 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 different conditions. It was found that the prediction errors for the creep curves were within ±20% after using six creep curves for training. Compared with the θ projection model, the maximum error was reduced by 30%. In addition, it is validated that this method is applicable to the prediction of creep curves for other superalloys such as DZ125 and CMSX-4, indicating that the model has a wide range of applicability. MDPI 2022-09-20 /pmc/articles/PMC9572561/ /pubmed/36233865 http://dx.doi.org/10.3390/ma15196523 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Ma, Bohao
Wang, Xitao
Xu, Gang
Xu, Jinwu
He, Jinshan
Prediction of Creep Curves Based on Back Propagation Neural Networks for Superalloys
title Prediction of Creep Curves Based on Back Propagation Neural Networks for Superalloys
title_full Prediction of Creep Curves Based on Back Propagation Neural Networks for Superalloys
title_fullStr Prediction of Creep Curves Based on Back Propagation Neural Networks for Superalloys
title_full_unstemmed Prediction of Creep Curves Based on Back Propagation Neural Networks for Superalloys
title_short Prediction of Creep Curves Based on Back Propagation Neural Networks for Superalloys
title_sort prediction of creep curves based on back propagation neural networks for superalloys
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572561/
https://www.ncbi.nlm.nih.gov/pubmed/36233865
http://dx.doi.org/10.3390/ma15196523
work_keys_str_mv AT mabohao predictionofcreepcurvesbasedonbackpropagationneuralnetworksforsuperalloys
AT wangxitao predictionofcreepcurvesbasedonbackpropagationneuralnetworksforsuperalloys
AT xugang predictionofcreepcurvesbasedonbackpropagationneuralnetworksforsuperalloys
AT xujinwu predictionofcreepcurvesbasedonbackpropagationneuralnetworksforsuperalloys
AT hejinshan predictionofcreepcurvesbasedonbackpropagationneuralnetworksforsuperalloys

Ejemplares similares