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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part J. Journal of engineering tribology >Approximation of the integral of the asperity height distribution for the Greenwood-Tripp asperity contact model
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Approximation of the integral of the asperity height distribution for the Greenwood-Tripp asperity contact model

机译:Greenwood-Tripp粗糙接触模型的粗糙高度分布的积分的逼近

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摘要

The load carried by asperity contacts is a very important quantity when performing elastohydrodynamic analyses in the mixed-lubrication regime. The Greenwood-Tripp model for the contact of two nominally flat rough surfaces is traditionally used for the evaluation of these loads. In this model it is assumed that the asperity heights follow a Gaussian distribution, thus, the load carried by the asperities can be evaluated by the integration of a non-linear function that relates the surface separation with the asperity height distribution. In order to avoid the computational burden of integrating this function numerically, several approximations have been proposed in literature. In the current technical note, the authors examine the quality of two of these approximations, a power law approximation and a sixth-order polynomial approximation, proposed in research efforts for the lubrication analysis of piston rings. The lack of fit for these two approximations is identified and in turn a new exponential approximation is proposed with the coefficients derived via the method of least squares. This new approximation exhibits a better fit over the entire range of the tabulated values for the asperity height distribution integral provided by Greenwood and Tripp. The computational cost of this approximation is also found to be accep-table. Researchers can use this approximation with confidence in mixed-lubrication analyses.
机译:当在混合润滑方式下进行弹性流体力学分析时,凹凸接触所承受的载荷是非常重要的量。传统上,两个名义上平坦的粗糙表面接触的Greenwood-Tripp模型用于评估这些载荷。在此模型中,假设凹凸高度遵循高斯分布,因此,可以通过将表面分离与凹凸高度分布相关联的非线性函数的积分来评估凹凸所承受的负载。为了避免对该函数进行数值积分的计算负担,文献中已经提出了几种近似方法。在当前的技术说明中,作者研究了在活塞环润滑分析研究工作中提出的两种近似值的质量,即幂律近似值和六阶多项式近似值。确定了这两个近似的不匹配性,进而提出了一种新的指数近似,其系数是通过最小二乘法得出的。这种新的近似值在Greenwood和Tripp提供的粗糙高度分布积分的列表值的整个范围内显示出更好的拟合度。还发现这种近似的计算成本是可以接受的。研究人员可以在混合润滑分析中放心使用此近似值。

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