摘要
为了分析铣削颤振过程的非线性动力学行为特性,首先基于工件振动信号的相位差、最大李雅谱诺夫指数、排列熵等,分析变切深铣削过程中平稳铣削振动信号、颤振孕育振动信号和颤振振动信号的的非线性特征。然后基于虚拟仪器平台开发了铣削振动信号的采集与分析系统,进行在线预报铣削颤振实验。试验结果表明,振动信号的相位特征可以有效检测铣削颤振,但不能有效预报切削颤振孕育;在铣削颤振不同阶段,振动信号的李雅谱诺夫指数的敏感程度不同,排列熵的阈值也不同。这样,相位差特征和混沌特征可以同时作为识别颤振孕育、发生的有效手段。
In order to analyze the nonlinear dynamic behavior of the milling chatter,firstly to analyze the varying depths of cut during milling stationary vibration signal the vibration signal and bred flutter vibration signal nonlinear characteristics based on the phase difference and the maximumLyapunov exponent permutation entropy ect of the vibration signal of the workpiece.Then to develop the milling vibration signal acquisition and analysis system for online forecasting milling chatter experiment based on virtual instrument platform.The experimental results showed that,the phase of vibration signal characteristics can effectively detect the milling chatter.But that can't be effective prediction of cutting chatter.At the different stages of cutting chatter,the sensitivity of the Lyapunov exponent of the vibration signal is different.The threshold of permutation entropy is also different.The characteristics of phase difference and chaotic characteristics can be used as an effective method for the identification of chatter.
出处
《哈尔滨理工大学学报》
CAS
北大核心
2018年第1期1-6,共6页
Journal of Harbin University of Science and Technology
基金
国家自然科学基金(51275139
51235003)
关键词
铣削颤振
虚拟仪器
最大李雅谱诺夫指数
相位差
排列熵
milling chatter
virtual instrument
maximum Lyapunov exponent
phase difference
permutation entropy
