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A deterministic mixed lubrication model for parallel rough surfaces considering wear evolution
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DOI：10.1016/j.triboint.2024.109443.png)
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摘要
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A deterministic mixed lubrication model for parallel surfaces is proposed. The oil film force is solved by the Reynolds equation with a mass-conserving cavitation model. The contact force is predicted by using a neural network trained on a database, which was built by conducting finite element analysis on a single asperity. In addition, an extended Archard equation is introduced to predict the transient running-in wear. The contact model is proved to be suitable for Gaussian and non-Gaussian surfaces. The Stribeck curves calculated under the different wear coefficients and wear steps are compared with the experimental results. The influence of initial surface topography on the running-in behavior has also been studied. The contact database for GCr15 is provided.
Keyword:
Mixed lubrication
Parallel surfaces
Deterministic model
Wear
期刊
IF:
6.9
论文数:
1.2W
被引数:
4.2W
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