Contact Analysis of Non-Gaussian Surfaces for Minimum Static and Kinetic Friction and Wear

作者: Chetan A. Kotwal , Bharat Bhushan

DOI: 10.1080/10402009608983609

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摘要: Most statistical contact analyses assume that surface heights and peak (summit) height distributions follow a Gaussian distribution. However, engineering surfaces are frequently non-Gaussian with degree of character dependent upon materials finishing processes used. For example, magnetic rigid disk used in storage industry highly non Gaussian. The use analysis such cases can lead to erroneous results. This study for the first time presents method carry out surfaces. Real area contact, number contacts, pressure meniscus force (in wet interfaces) calculated probability density functions having different skewness kurtosis. From these curves, optimum value kurtosis be predicted minimum static/kinetic friction. It is found range positive (between 0.3–0.7) high (greater than five) significantly lower real are...

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