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A Fractal Prediction Model for the Friction Coefficient of Wet Clutch Friction Plates.

Authors :
Cao, Jianfeng
Yang, Sirui
Chen, Zhigang
Sun, Haoxuan
Ning, Fenglian
Bao, Heyun
Source :
Applied Sciences (2076-3417); Dec2024, Vol. 14 Issue 24, p12075, 20p
Publication Year :
2024

Abstract

The motion state of the friction plate in a wet friction clutch is investigated by analyzing the causes of friction coefficient formation. This study establishes static and dynamic friction coefficient models for the friction plate based on a fractal model. The fractal dimension and scaling coefficient are studied to understand the fractal characteristics and variation patterns of the surface morphology of friction pairs during engagement. The MM6000 friction and wear testing machine is utilized for experiments, measuring surface morphology changes due to wear and changes in the engagement motion state of the friction plate. The theoretical content is compared and analyzed to verify the accuracy of the friction coefficient prediction model for the friction pair. Experiments are conducted on paper-based friction materials under different bonding pressures, and the relationship between bonding times and surface morphology changes is established. A comparative experiment between the joint motion state and dynamic simulation is performed, concluding that the micro convex contact model has certain accuracy in predicting the contact state of friction plates under various working conditions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20763417
Volume :
14
Issue :
24
Database :
Complementary Index
Journal :
Applied Sciences (2076-3417)
Publication Type :
Academic Journal
Accession number :
181961550
Full Text :
https://doi.org/10.3390/app142412075