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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

Year: 2025

Type: article

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

DOI: 10.1177/13506501251381049

Authors: Yang Hu, Zhenghao Li

Institution: Shanghai University

Language: English

Topic: Tribology and Lubrication Engineering

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G6626814499

OpenAlex ID: W4414468155

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Cites: 31

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