Data-driven prediction of convective heat transfer coefficients in internal walls of aero-engine bearing chambers using Mind Evolution Algorithm-Enhanced Bayesian regularization neural networks

•Studied two-phase flow dynamics in aero-engine bearing chambers.•Analyzed factors affecting local convective heat transfer coefficients.•Validated heat transfer predictions using regression and neural network models.•Enhanced accuracy with a Bayesian regularization neural network model. In the bear...

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Veröffentlicht in:	Applied thermal engineering Jg. 257; S. 124226
Hauptverfasser:	Wang, Jiang, Pan, Yingxiu, Wang, Yechun, Guo, Liejin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2024
Schlagworte:	Back Propagation Neural Network CNN-LSTM Convection heat transfer coefficient Deep Belief Neural Network MEA-BPNN-Bayesian Multiple Linear Regression Convection heat transfer coefficient Multiple Linear Regression Back Propagation Neural Network CNN-LSTM Deep Belief Neural Network MEA-BPNN-Bayesian
ISSN:	1359-4311
Online-Zugang:	Volltext
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