摘要
利用庞加莱原理,分析了稳定切削与不稳定切削时振动信号频域特征的不同点.搭建了铣削振动检测系统,通过对铣削振动信号的频域分析,验证了铣削强迫振动的频域特征是在低频段的刃通过频率及其二、三倍谐波频率处出现峰值;发生切削颤振时,在高频段出现峰值,因此,振动信号频谱图中非刃通过频率处及其二、三倍谐波频率处出现峰值是发生切削不稳定的结论.
Utilizing Poincare principle, this study investigates the differences of milling frequency features between stable and instable milling, and has developed a milling vibration detection system. Through frequency domain analysis of milling vibration signals, the frequency feature of forced vibration is found that the peak point occurs within cutting edge passing frequency and its twice or three times frequency. The feature of the chatter is that the peak point is in the high frequency range. In conclusion, if there is a high peak point in any frequency except the cutting edge passing frequency and its twice or three times frequency, then the cutting state will be unstable.
出处
《辽宁工程技术大学学报(自然科学版)》
CAS
北大核心
2013年第1期93-96,共4页
Journal of Liaoning Technical University (Natural Science)
基金
辽宁省攻关基金资助项目(2010020076-301)
关键词
切削颤振
频域分析
庞加莱原理
稳定性
强迫振动
刃通过频率
傅里叶变换
振动测试
cutting chatter
frequency domain analysis
Poincar6 principle
stability
forced vibration
blade passing frequency
Fourier transform
vibration testing