混沌特征量识别切削颤振的试验研究

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摘要针对切削颤振具有的非线性，传统信号处理方法不能全面揭示颤振特征及难以识别预报等问题，通过改变切削速度及深度的多组切削试验，获得从平稳切削到颤振状态完整过程的多组振动加速度信号，采用关联维数、最大Lyapunov指数及Kolmogorov熵等分析测试信号的混沌特征。结果表明，三个混沌特征量均能从不同角度较好揭示切削过程从平稳到颤振的变化规律。多混沌特征可能将是识别预报颤振的新方向。

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	毛汉颖1
	刘畅2
	刘永坚2
	毛汉领2

关键词 ：切削, 颤振, 混沌特征, 识别

Abstract：Because the cutting chatter is nonlinear, it is difficult to identify and predict the chatter phenomenon with the traditional signal processing method. A number of groups cutting test were designed and made with the different spindle speeds and cutting depths, the vibration acceleration signals for the whole process from stable cutting to chatter were detected. The chaotic characteristics of the signals were analyzed with the Correlation dimension, largest Lyapunov exponent and Kolmogorov entropy. It was demonstrated that the trend of a sharp rise during chatter gestation were revealed by the three chaotic characteristics separately, with the multi chaotic characteristics might be the new direction for the identification and prediction on the cutting chatter.

Key words： cutting chatter chaotic characteristics identification

收稿日期: 2014-12-31 出版日期: 2015-08-25

引用本文:

毛汉颖1，刘畅2，刘永坚2，毛汉领2. 混沌特征量识别切削颤振的试验研究[J]. 振动与冲击, 2015, 34(16): 99-103.
MAO Han-ying1，LIU Chang2，LIU Yong-jian2，MAO Han-ling2. The experimental study on the identification of the cutting chatter on the chaotic characteristics. JOURNAL OF VIBRATION AND SHOCK, 2015, 34(16): 99-103.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2015/V34/I16/99

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