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Determination of Joint Roughness Coefficients Using Roughness Parameters

机译:使用粗糙度参数确定接头粗糙度系数

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This study used precisely digitized standard roughness profiles to determine roughness parameters such as statistical and 2D discontinuity roughness, and fractal dimensions. Our methods were based on the relationship between the joint roughness coefficient (JRC) values and roughness parameters calculated using power law equations. Statistical and 2D roughness parameters, and fractal dimensions correlated well with JRC values, and had correlation coefficients of over 0.96. However, all of these relationships have a 4th profile (JRC 6-8) that deviates by more than ±5 % from the JRC values given in the standard roughness profiles. This indicates that this profile is statistically different than the others. We suggest that fractal dimensions should be measured within the entire range of die divider, instead of merely measuring values within a suitable range. Normalized intercept values also correlated with the JRC values, similarly to the fractal dimension values discussed above. The root mean square first derivative values, roughness profile indexes, 2D roughness parameter, and fractal dimension values decreased as the sampling interval increased. However, the structure function values increased very rapidly with increasing samplingintervals. This indicates that the roughness parameters are not independent of the sampling interval, and that the different relationships between the JRC values and these roughness parameters are dependent on the sampling interval.
机译:这项研究使用精确数字化的标准粗糙度轮廓来确定粗糙度参数,例如统计和2D不连续性粗糙度以及分形维数。我们的方法基于接头粗糙度系数(JRC)值与使用幂律方程计算的粗糙度参数之间的关系。统计和二维粗糙度参数以及分形维数与JRC值相关性很好,并且相关系数超过0.96。但是,所有这些关系都具有第4个轮廓(JRC 6-8),与标准粗糙度轮廓中给出的JRC值相差超过±5%。这表明此配置文件在统计上与其他配置文件不同。我们建议分形尺寸应在模具分割器的整个范围内进行测量,而不仅仅是在适当范围内进行测量。标准化截距值也与JRC值相关,类似于上面讨论的分形维值。均方根一阶导数值,粗糙度轮廓指数,二维粗糙度参数和分形维数值随采样间隔的增加而减小。但是,结构函数值随着采样间隔的增加而迅速增加。这表明粗糙度参数与采样间隔无关,并且JRC值与这些粗糙度参数之间的不同关系取决于采样间隔。

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