Thermal Error Modeling Method with the Jamming of Temperature-Sensitive Points’ Volatility on CNC Machine Tools
作者: Enming MIAOYi LIUJianguo XUHui LIU
作者单位: 1Hefei University of Technology
刊名: Chinese Journal of Mechanical Engineering, 2017, Vol.30 (3), pp.566-577
来源数据库: Springer Nature Journal
DOI: 10.1007/s10033-017-0109-1
关键词: CNC machine toolThermal errorTemperature-sensitive pointsForecasting robustnessUnivariate modeling
英文摘要: Aiming at the deficiency of the robustness of thermal error compensation models of CNC machine tools, the mechanism of improving the models’ robustness is studied by regarding the Leaderway-V450 machining center as the object. Through the analysis of actual spindle air cutting experimental data on Leaderway-V450 machine, it is found that the temperature-sensitive points used for modeling is volatility, and this volatility directly leads to large changes on the collinear degree among modeling independent variables. Thus, the forecasting accuracy of multivariate regression model is severely affected, and the forecasting robustness becomes poor too. To overcome this effect, a modeling method of establishing thermal error models by using single temperature variable under the jamming of...
原始语种摘要: Aiming at the deficiency of the robustness of thermal error compensation models of CNC machine tools, the mechanism of improving the models’ robustness is studied by regarding the Leaderway-V450 machining center as the object. Through the analysis of actual spindle air cutting experimental data on Leaderway-V450 machine, it is found that the temperature-sensitive points used for modeling is volatility, and this volatility directly leads to large changes on the collinear degree among modeling independent variables. Thus, the forecasting accuracy of multivariate regression model is severely affected, and the forecasting robustness becomes poor too. To overcome this effect, a modeling method of establishing thermal error models by using single temperature variable under the jamming of...
全文获取路径: Springer Nature  (合作)
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来源刊物:
影响因子:0.263 (2012)

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关键词翻译
关键词翻译
  • volatility 挥发性
  • robustness 坚固性
  • forecasting 预报
  • CNC Call on NonCarry
  • variable 变量
  • error 误差
  • multivariate 多元
  • modeling 制祝型
  • compensation 补偿
  • temperature 温度