摘要
针对现有方法加工轴承滚子时存在的问题,将电化学机械光整(electrochemical mechanicalfinishing,ECMF)加工应用于轴承滚子的光整加工中。ECMF加工效果受很多因素影响,为预测加工质量及选择加工参数,建立了带有径向基函数的基于LS-SVM的轴承滚子ECMF加工预测模型,对正交试验样本进行训练学习,采用网格搜索法确定模型参数。实验及预测结果表明:ECMF适合于轴承滚子的加工,经ECMF加工后的轴承滚子表面质量明显提高;通过LS-SVM模型选择的加工参数及预测的表面质量误差,均在可接受的范围内。
Due to the disadvantages of traditional method in machining bearing rollers,ECMF was applied in the finishing of bearing rollers.In order to predict processing qualily and select machining parameters,a prediction model of ECMF based on LS-SVM with RBF was constructed,orthogonal experiment swatches were studied,crossed grid search method was applied to determine the model parameters.The results of experiments and prediction show that ECMF is suitable for the machining of bearing rollers,the qualification of surface processed by ECMF is improved obviously,for predicting the surface quality and determining the processing parameters,the errors are acceptable.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2012年第5期525-530,共6页
China Mechanical Engineering
基金
国家自然科学基金资助项目(50905020)
辽宁省科技计划资助项目(2009220022)
关键词
轴承滚子
电化学机械光整
最小二乘支持向量机
径向基函数
预测
bearing roller
electrochemical mechanical finishing（ECMF）
least square support vector machine（LS-SVM）
radial basis function（RBF）
prediction
