金属切削过程刀具磨损信号的混沌特征

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振动与冲击 ›› 2015, Vol. 34 ›› Issue (10) : 28-33.

论文

金属切削过程刀具磨损信号的混沌特征

关山，彭昶

作者信息 +

Chaotic characteristics of tool wear signal during metal cutting process

GUAN Shan，PENG Chang

Author information +

文章历史 +

摘要

针对刀具磨损过程中声发射信号非线性特征，提出基于混沌理论的信号分析及特征提取方法。采用延迟时间法对去噪后的时间序列进行相空间重构，分析延迟时间及嵌入维数随刀具磨损的变化规律；用关联维数、最大Lyapunov指数及Kolmogorov熵三种混沌特征参数定量分析刀具在不同切削条件下随磨损量增大所呈现的变化规律。研究结果表明，刀具磨损声发射信号具有明显的混沌特征，三种混沌特征参数、延迟时间及嵌入维数与刀具磨损状态具有明显的对应关系，可用作刀具磨损状态监测、磨损量预测的特征参数。

Abstract

Aiming at the nonlinear characteristics of acoustic emission signal from tool wear, a method of signal analyzing and feature extracting based on chaos theory is presented. In this paper, the following two research work are firstly finished, the phase space reconstruction of denoised time series by delay time method and the analysis of the variation of delay time and embedding dimension with tool wear. Then, the variation of the three chaotic characteristic parameters including correlation dimension, the maximum Lyapunov exponent and Kolmogorov entropy with the increase of the amount of tool wear under different cutting conditions is analysed. The results show that the acoustic emission signal from tool wear has obvious chaos character, moreover the above three chaotic characteristic parameters, delay time and embedding dimension have significant corresponding relationship with the state of tool wear so that they can be used as parameters for condition monitoring and prediction of the amount of tool wear.

导出引用

关山，彭昶. 金属切削过程刀具磨损信号的混沌特征[J]. 振动与冲击, 2015, 34(10): 28-33

GUAN Shan，PENG Chang. Chaotic characteristics of tool wear signal during metal cutting process[J]. Journal of Vibration and Shock, 2015, 34(10): 28-33

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