Surface quality prediction and processing parameter determination in electrochemical mechanical polishing of bearing rollers
Surface quality prediction and processing parameter determination in electrochemical mechanical polishing of bearing rollers
复制标题
轴承滚子电化学机械抛光表面质量预测及工艺参数确定
DOI：
10.1007/s00170-011-3891-4
复制
发表时间：
2012-11-01
影响因子：
3.4
通讯作者：
Yu, Ziyuan
中科院分区：
文献类型：
--
作者：
Xu, Wenji;Wei, Zefei;Yu, Ziyuan
轴承滚子的表面质量对轴承的使用性能有很大影响。电化学机械抛光(ECMP)不受传统轴承滚子加工固有的缺点，因此被用于轴承滚子的抛光。然而，由于ECMP结果受许多因素的影响，预测表面质量和确定工艺参数是很困难的。为了克服这些问题，我们提出了一种基于径向基函数最小二乘支持向量机的ECMP预测模型。通过正交试验考察了抛光参数对表面粗糙度的影响。实验结果和预测值表明，ECMP适用于轴承滚子的加工，表面质量明显改善。表面粗糙度预测值与实验值的平均绝对百分比误差(EMAPE)为5.4%，均方根误差(ERMSE)为6.5%。此外，电流密度的预测值与实验值之间的平均偏差为4.8%，平均偏差为6.6%。
The surface quality of bearing rollers has great influence on the service performance of bearings. Electrochemical mechanical polishing (ECMP) is used to polish bearing rollers because it does not suffer from the disadvantages inherent in traditional bearing roller machining. However, predicting surface quality and determining processing parameters are difficult to accomplish because ECMP results are influenced by many factors. To overcome these problems, we develop an ECMP prediction model on the basis of least squares support vector machines with radial basis function. An orthogonal experiment is conducted to assess the effect of polishing parameters on surface roughness. Experiment results and predicted values show that ECMP is suitable for the machining of bearing rollers, with noticeable improvement in surface qualification. The mean absolute percent error (eMAPE) between the predicted and experimental values of surface roughness is 5.4%, and the root mean square error (eRMSE) is 6.5%. In addition, theeMAPEbetween the predicted and experimental values of current density is 4.8%, with aneRMSEof 6.6%.