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

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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%.

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Authors and Affiliations

  1. School of Mechanical Engineering, Dalian University of Technology, Dalian, 116024, People’s Republic of China

    Wenji Xu, Zefei Wei, Jing Sun, Lei Wei & Ziyuan Yu

Authors
  1. Wenji Xu
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  2. Zefei Wei
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  3. Jing Sun
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  4. Lei Wei
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  5. Ziyuan Yu
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Correspondence to Wenji Xu.

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Xu, W., Wei, Z., Sun, J. et al. Surface quality prediction and processing parameter determination in electrochemical mechanical polishing of bearing rollers. Int J Adv Manuf Technol 63, 129–136 (2012). https://doi.org/10.1007/s00170-011-3891-4

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  • DOI: https://doi.org/10.1007/s00170-011-3891-4

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