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

被引：1
|
作者：
Guo Qianjian
Yang Jianguo
机构：
[1] Shandong University of Technology,Shandong Provincial Key Laboratory of Precision Manufacturing and Non
[2] Shanghai Jiaotong University,traditional Machining
[3] Shandong University of Technology,School of Mechanical Engineering
来源：
The International Journal of Advanced Manufacturing Technology | 2011年 / 55卷
关键词：
Thermal error modeling; Project pursuit regression; NC machine tool; Error compensation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：623 / 629
页数：6
相关论文
共 50 条
  • [1] Application of projection pursuit regression to thermal error modeling of a CNC machine tool
    Guo Qianjian
    Yang Jianguo
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2011, 55 (5-8): : 623 - 629
  • [2] Application of a new modeling method for CNC machine thermal error based on projection pursuit regression
    Guo, Q.-J., 2012, Editorial Department of Journal of Sichuan University (44):
  • [3] Application of sliced inverse regression with fuzzy clustering for thermal error modeling of CNC machine tool
    Ting Zhang
    Wenhua Ye
    Yicai Shan
    The International Journal of Advanced Manufacturing Technology, 2016, 85 : 2761 - 2771
  • [4] Application of sliced inverse regression with fuzzy clustering for thermal error modeling of CNC machine tool
    Zhang, Ting
    Ye, Wenhua
    Shan, Yicai
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2016, 85 (9-12): : 2761 - 2771
  • [5] Thermal Error Modeling of a CNC Machine Tool
    Mao, Chongzhi
    Guo, Qianjian
    SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4, 2013, 303-306 : 1782 - 1785
  • [6] Research on Thermal Error Modeling of CNC Machine Tool
    Guo, Qianjian
    Yang, Jianguo
    SURFACE FINISHING TECHNOLOGY AND SURFACE ENGINEERING II, 2010, 135 : 170 - +
  • [7] Application of Clustering Regression to Thermal Error Modeling of NC Machine Tool
    Qi, Xiaoni
    Guo, Qianjian
    MACHINING AND ADVANCED MANUFACTURING TECHNOLOGY X, 2010, 431-432 : 110 - 113
  • [8] Application of Ant Colony Algorithm to Volumetric Thermal Error Modeling and Compensation of a CNC Machine Tool
    Guo, Qianjian
    Qu, Qingwen
    Yang, Jianguo
    PROGRESS IN CIVIL ENGINEERING, PTS 1-4, 2012, 170-173 : 3487 - +
  • [9] Application of Partial Least Squares Neural Network in Thermal Error Modeling for CNC Machine Tool
    Shen, J. H.
    Yang, J. G.
    MANUFACTURING AUTOMATION TECHNOLOGY, 2009, 392-394 : 30 - 34
  • [10] Application of partial least squares neural network in thermal error modeling for CNC machine tool
    Shen, J.H.
    Yang, J.G.
    Key Engineering Materials, 2009, 392-394 : 30 - 34
12345