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http://dx.doi.org/10.9725/kstle.2014.30.6.378

Predictive Study of Hysteretic Rubber Friction Based on Multiscale Analysis  

Nam, Seungkuk (Hankook Tire Co. LTD., R&D Center)
Oh, Yumrak (Hankook Tire Co. LTD., R&D Center)
Jeon, Seonghee (Hankook Tire Co. LTD., R&D Center)
Publication Information
Tribology and Lubricants / v.30, no.6, 2014 , pp. 378-383 More about this Journal
Abstract
This study predicts the of the hysteretic friction of a rubber block sliding on an SMA asphalt road. The friction of filled rubber on a rough surface is primarily determined by two elements:the viscoelasticity of the rubber and the multi-scale perspective asperities of the road. The surface asperities of the substrate exert osillating forces on the rubber surface leading to energy dissipation via the internal friction of the rubber when rubber slides on a hard and rough substrate. This study defines the power spectra at different length scales by using a high-resolution surface profilometer, and uses rubber and road surface samples to conduct friction tests. I consider in detail the case when the substrate surface has a self affine fractal structure. The theory developed by Persson is applied to describe these tests through comparison with the hysteretic friction coefficient relevant to the energy dissipation of the viscoelastic rubber attributable to cyclic deformation. The results showed differences in the absolute values of predicted and measured friction, but with high correlation between these values. Hence, the friction prediction model is an appropriate tool for separating the effects of each factor. Therefore, this model will contribute to clearer understanding of the fundamental principles of rubber friction.
Keywords
Rubber Friction; Fractal Dimension; Contact Mechanics; Hysteresis; Self-Affinity; Viscoelasticity;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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