往復滑り状態下のゴムの摩擦面形状の周波数解析と摩擦特性の関連性(機械要素,潤滑,工作,生産管理など)

概要

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The characteristics of surface topography have a great influence on the frictional features. Wavelength analysis for the frictional surface topography of rubber is an important method to elucidate the complicated frictional phenomena. In this paper, a method is proposed to evaluate the power spectral density function of the frictional surface topography of rubber under the reciprocating sliding conditions by using fractal dimension, and the relationship among fractal dimension, the friction coefficient and test conditions are examined. As abrasion patterns grew, the power spectra of long wavelength became larger and fractal dimensions were dec-reased. There was a proportional correlation between the fractal dimension and the friction coefficient. The equation of estimation on the friction coefficient with a high multiple correlation coefficient of 0.749 was represented from power spectrum function density by using multiple regression analysis. As a result of simulation on the wavy patterns that made use of fractal dimension and phase, the simulated wavy patterns were similar to the experimental results.
社団法人日本機械学会の論文
2002-11-25