A multiscale method for optimising surface topography in elastohydrodynamic lubrication (EHL) using metamodels

A multiscale method for optimising surface topography in elastohydrodynamic lubrication (EHL) using metamodels
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使用元模型优化弹流润滑 (EHL) 表面形貌的多尺度方法

DOI:
10.1007/s00158-016-1412-7
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发表时间:
2016
影响因子:
3.9
通讯作者:
De Boer G
De Boer G
中科院分区:
工程技术2区
文献类型:
--
作者:
De Boer G

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轴承的摩擦性能在任何机械系统中都具有重要的意义,其中有受载荷和相对运动的润滑表面。表面形貌在确定轴承摩擦系数方面起主要作用,因为流体膜的大小和形貌具有可比较的顺序。对于这样一个系统,优化地形的问题是复杂的,因为润滑区域的大小和地形的大小之间的尺度分离,至少是一个数量级或更小。本文介绍了一种多尺度优化小尺度地形的方法,以提高大型轴承的摩擦性能。该方法在两个尺度上充分耦合了润滑剂中产生的压力和边界面的变形之间的弹流动力润滑。均匀化的小尺度数据用于告知大尺度模型,并使用经过交叉验证校准的移动最小二乘元模型表示。确定了轴承最小摩擦系数的最佳地形,并对响应中的局部最小值进行了比较,其中观察到非常不同的地形具有相似的摩擦性能。最优地形与光滑表面模型的比较表明,捕获地形非线性效应的复杂性和多尺度方法在捕获这种效应中的必要性。通过元模型系数量化了与光滑表面模型的偏差,并显示了具有相似摩擦性能的地形如何具有非常不同的特征。
The frictional performance of a bearing is of significant interest in any mechanical system where there are lubricated surfaces under load and in relative motion. Surface topography plays a major role in determining the coefficient of friction for the bearing because the size of the fluid film and topography are of a comparable order. The problem of optimising topography for such a system is complicated by the separation in scales between the size of the lubricated domain and that of the topography, which is of at least one order of magnitude or more smaller. This paper introduces a multiscale method for optimising the small scale topography for improved frictional performance of the large scale bearing. The approach fully couples the elastohydrodynamic lubrication at both scales between pressure generated in the lubricant and deformation of the bounding surfaces. Homogenised small scale data is used to inform the large scale model and is represented using Moving Least Squares metamodels calibrated by cross validation. An optimal topography for a minimum coefficient of friction for the bearing is identified and comparisons made of local minima in the response, where very different topographies with similar frictional performance are observed. Comparisons of the optimal topography with the smooth surface model demonstrated the complexity of capturing the non-linear effect of topography and the necessity of the multiscale method in capturing this. Deviations from the smooth surface model were quantified by the metamodel coefficients and showed how topographies with a similar frictional performance have very different characteristics.
DOI: 10.1016/j.triboint.2014.05.019
发表时间: 2014
影响因子: 6.2
作者:
De Boer G
通讯作者: De Boer G