Deep convolutional autoencoder augmented CFD thermal analysis of bearings with inter pad groove mixing

•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 ava...

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Bibliographic Details
Published in:	International journal of heat and mass transfer Vol. 188; p. 122639
Main Authors:	Yang, Jongin, Palazzolo, Alan
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.06.2022 Elsevier BV
Subjects:	Artificial neural networks Computational fluid dynamics Deep learning Economic models Groove mixing Grooves Heat transfer Heat treatment Inlets Lubricants Lubricants & lubrication Mathematical models Neural networks Rotating shafts Rotor-bearing heat transfer Stiffness Temperature distribution Thermal analysis Vibration damping Deep learning Groove mixing Thermal analysis Rotor-bearing heat transfer
ISSN:	0017-9310, 1879-2189
Online Access:	Get full text
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