Inicio  /  Applied Sciences  /  Vol: 12 Par: 21 (2022)  /  Artículo
ARTÍCULO
TITULO

Contact Analysis and Friction Prediction of Non-Gaussian Random Surfaces

Jinzhao Ren and Huiqun Yuan    

Resumen

Engineering surfaces exhibit asymmetrical height distributions due to certain types of surface finishing and running-in process. This non-Gaussian surface reflects different contact performances and tribological properties. In this paper, the influence of non-Gaussian surface parameters on contact performance and friction is investigated. First, the computer program for generating rough surfaces with given parameters is developed; then, contact analysis for rough surfaces are conducted through a deterministic contact model; finally, friction coefficient can be derived from friction model using the results of the contact model. The simulation analyses indicate that the skewness and amplitude of non-Gaussian surface have significant effects on contact performance and friction. The contact characteristic parameters and friction coefficient become slightly changed when kurtosis becomes relatively large.

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