Performance Prediction Model for Hydrodynamically Lubricated Tilting Pad Thrust Bearings Operating under Incomplete Oil Film with the Combination of Numerical and Machine-Learning Techniques

Performance Prediction Model for Hydrodynamically Lubricated Tilting Pad Thrust Bearings Operating under Incomplete Oil Film with the Combination of Numerical and Machine-Learning Techniques

Pivoted pad thrust bearings are common machine elements used in rotating mechanisms in order to support axial loads. The hydrodynamic lubrication of such bearings has been a major subject of many investigations over the years. However, the majority of these investigations are based on full film lubr...

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Bibliographic Details
Main Authors: Konstantinos P. Katsaros, Pantelis G. Nikolakopoulos
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Lubricants
Subjects:
thrust bearing
hydrodynamic lubrication
numerical analysis
machine-learning
polynomial regression
SVM
Online Access:https://www.mdpi.com/2075-4442/11/3/113

Internet

https://www.mdpi.com/2075-4442/11/3/113

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