Friction Properties Study of Metals by Principal Component Analysis

Zheng Zhu Zhou; Xiao Yi Jin; Xiang Wei Zhang; Yu Yi Lin

doi:10.4028/www.scientific.net/AMM.711.231

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 711Friction Properties Study of Metals by Principal...

Friction Properties Study of Metals by Principal Component Analysis

Abstract:

Based on MMW-1A vertical multifunctional friction and wear tester for the study,taking steel 45 as the research object, randomly changing the experiment load, speed, sliding distance and the size of the contact area, then the data we collect are processed and analyzed by principal component analysis, and obtained linear regression models by principal component regression, regression model has been tested with good fitting effect. The results showed that the principal component analysis method is also suitable for experimental study of friction and wear, explore new methods in the analysis of tribology. It shows that load, speed and sliding distance have a weakening effect on the friction coefficient, on the contrary, the contact area has a promoting role to the friction coefficient.

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Periodical:

Applied Mechanics and Materials (Volume 711)

Pages:

231-234

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.711.231

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Online since:

December 2014

Authors:

Zheng Zhu Zhou, Xiao Yi Jin, Xiang Wei Zhang*, Yu Yi Lin

Keywords:

Friction and Wear, Principal Component Analysis (PCA), Principal Component Regression, Steel 45

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