Surface quality prediction and processing parameter determination in electrochemical mechanical polishing of bearing rollers

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Indexed by:期刊论文

Date of Publication:2012-11-01

Journal:INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Included Journals:SCIE、EI、Scopus

Volume:63

Issue:1-4

Page Number:129-136

ISSN No.:0268-3768

Key Words:Bearing roller; Electrochemical mechanical polishing; Least squares support vector machines; Prediction

Abstract: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 (e (MAPE)) between the predicted and experimental values of surface roughness is 5.4%, and the root mean square error (e (RMSE)) is 6.5%. In addition, the e (MAPE) between the predicted and experimental values of current density is 4.8%, with an e (RMSE) of 6.6%.

Date of Publication:2012-11-01