Contact Analysis and Friction Prediction of Non-Gaussian Random Surfaces.

Autor: Ren, Jinzhao, Yuan, Huiqun
Předmět:
Zdroj: Applied Sciences (2076-3417); Nov2022, Vol. 12 Issue 21, p11237, 16p
Abstrakt: 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. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index