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An efficient ANN-FTSI model for predicting the lubrication performance of misaligned journal bearings under heavy-load and low-speed conditions

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Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, Ahead of Print.
The accurate and efficient prediction of misaligned journal bearing performance under heavy-load and low-speed operating conditions is of paramount importance for practical applications. However, the multiphysics simulation of fluid-thermal-structure ...