Deep convolutional autoencoder augmented CFD thermal analysis of bearings with inter pad groove mixing
International Journal of Heat and Mass Transfer(2022)
摘要
•Bearing groove model via a deep convolutional autoencoder training based on CFD data.•Consideration of 2D temperature distribution at pad leading edge of fluid-film.•Combination of rotor-bearing model and convolutional neural network.•Proposed model validation through comparison to full CFD and available test data.•Accurate heat transfer and temperature prediction for a rotor-bearing system.
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关键词
Thermal analysis,Rotor-bearing heat transfer,Deep learning,Groove mixing
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