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Application of projection pursuit regression to thermal error modeling of a CNC machine tool

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Abstract

Thermal errors are the major contributor to the dimensional errors of a workpiece in precision machining. Error compensation technique is a cost-effective way to reduce thermal errors. Accurate modeling of errors is a prerequisite of error compensation. In this paper, a thermal error model was proposed by using projection pursuit regression (PPR). The PPR method improves the prediction accuracy of thermal errors in the computer numerical control (CNC) turning center. A thermal error compensation system was developed based on the PPR model, and which has been applied to the CNC turning center in daily production. The results show that the thermal drift in workpiece diameter has been reduced from 34 to 5 μm.

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Authors and Affiliations

  1. Shandong Provincial Key Laboratory of Precision Manufacturing and Non-traditional Machining, Shandong University of Technology, 12 Zhangzhou Road, Zibo, 255049, People’s Republic of China

    Guo Qianjian

  2. School of Mechanical Engineering, Shanghai Jiaotong University, 800 Dongchuan Road, Shanghai, 200240, People’s Republic of China

    Yang Jianguo

  3. School of Mechanical Engineering, Shandong University of Technology, 12 Zhangzhou Road, Zibo, 255049, People’s Republic of China

    Guo Qianjian

Authors
  1. Guo Qianjian
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  2. Yang Jianguo
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Correspondence to Guo Qianjian.

Additional information

Supported by grants from Yunnan CY Group Company Ltd.

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Qianjian, G., Jianguo, Y. Application of projection pursuit regression to thermal error modeling of a CNC machine tool. Int J Adv Manuf Technol 55, 623–629 (2011). https://doi.org/10.1007/s00170-010-3114-4

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  • DOI: https://doi.org/10.1007/s00170-010-3114-4

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