计算机集成制造系统 ›› 2019, Vol. 25 ›› Issue (第10): 2616-2622.DOI: 10.13196/j.cims.2019.10.019

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基于经验模态分解方法的曲面加工误差补偿

陈岳坪,谌炎辉+,汤慧,葛动元   

  1. 广西科技大学机械与交通工程学院
  • 出版日期:2019-10-31 发布日期:2019-10-31
  • 基金资助:
    国家自然科学基金资助项目(51565006,51765007);广西自然科学基金资助项目(桂科自2018GXNSFAA050085);2016年广西高校高水平创新团队及卓越学者计划资助项目;广西科技大学创新团队支持计划资助项目;广西高校重点实验室主任基金资助项目(2014JZKG005)。

Compensation for machining errors of surfaces based on empirical mode decomposition

  • Online:2019-10-31 Published:2019-10-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.51565006,51765007),the Natural Science Foundation of Guangxi Province,China(No.2018GXNSFAA050085),the Science Research Innovation Team Program of Guangxi Provincial Education Department,China,the Science Research Innovation Team Program of Guangxi University of Science and Technology,China,and the Guangxi Key Laboratory Director Foundation,China(No.2014JZKG005).

摘要: 采用误差补偿技术对曲面的加工误差进行补偿是提高该类零件加工精度的有效方法。针对加工误差进行经验模态分解,将加工误差分解为若干个固有模态函数(IMF)和一个res趋势项函数。根据系统误差的特征,趋势项函数中一定存在系统误差,利用自相关分析法和频谱图对固有模态函数分析是否存在周期性变化系统误差,最终分解出系统误差和随机误差。搭建了数控机床在线检测的实验平台,实现了曲面零件的系统误差补偿。通过一个曲面零件的加工实验表明,补偿加工后的曲面精度提高了86.0%。仿真算例和实验结果表明,基于经验模态分解方法的加工误差补偿能有效提高曲面零件的加工精度。

关键词: 曲面, 经验模态分解, 加工误差, 误差分解, 误差补偿

Abstract: To improve the machining accuracy of surfaces,the method of Empirical Mode Decomposition (EMD) was applied to decompose machining errors into one or several Intrinsic Mode Functions (IMF) and a residue considered as the trend of signal.According to the characteristics of system errors,the residue included system errors undoubtedly.The methods of autocorrelation and spectral analyses were used to justify whether there were system errors with periodic variation,and the machining errors were decomposed into system errors and random errors.An experimental platform was built to perform the system error compensation.Taking a component with a complicated surface as an example,the machining accuracy was increased by 86.0%.It was verified that the machining error compensation based on EMD could effectively improve the machining accuracy of surfaces.

Key words: surface, empirical mode decomposition, machining error, error decomposition, error compensation

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