基于特征频率组的铣削颤振识别  

Milling Chatter Identification Based on Characteristic Frequency Group

作　　者：张智 刘成颖[2,3] 张洁 余路路[4] ZHANG Zhi;LIU Cheng-ying;ZHANG Jie;YU Lu-lu(Department of Aircraft Engineering,Navy Aeronautical Engineering Academy,Yantai Shandong 264001,China;Department of Foreign Training,Navy Aeronautical Engineering Academy,Yantai Shandong 264001,China;Department of Mechanical Engineering,Tsinghua University,Beijing 100084,China;Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipment and Control,Tsinghua University,Beijing 100084,China)

机构地区：[1]海军航空工程学院飞行器工程系,山东烟台264001 [2]清华大学机械工程系,北京100084 [3]清华大学精密超精密制造装备及控制北京市重点实验室,北京100084 [4]海军航空工程学院外训系,山东烟台264001

出　　处：《组合机床与自动化加工技术》2018年第9期24-26,29,共4页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：国家04科技重大专项课题(2013ZX04001-021)

摘　　要：金属切削过程中的颤振,易降低工件加工质量和机床加工精度。为实现对加工过程中颤振的在线监测,设计颤振的在线分析和识别方法十分必要。文章基于对主轴加速度信号的频域分析,提出了用于振动识别的特征频率组的分析方法,特征频率组包含了强迫振动或颤振的典型频谱信息。该方法采用加速度传感器,获取主轴的振动信号,以特征频率组为识别特征,对铣削加工的稳定性进行识别,并通过铣削试验进行验证。试验结果表明:与时域分析的方法相比,该方法利用的频域特征,无须阈值和人为判断,适用于在线的识别与分析。Chatter in machining of metals can decrease machining quality and precision of machine.In order to monitor chatter during machining process,it’s necessary to research the method of analyzing and recognizing chatter.Based on the Fourier transform of acceleration signal of spindle,it presents a method of characteristic frequency group for identification online,which contains typical frequency spectrum of forced vibration or chatter.The method obtains signal of spindle by using the acceleration sensor,and organizes the stability of milling by characteristic frequency group.It’s proved to be effective by milling test.And the result shows this method is more suitable than time domain analysis in chatter organization and analysis online without threshold value and artificial judgment.

关 键 词：颤振 特征频率组 振动信号 在线识别 

分 类 号：TH113.1[机械工程—机械设计及理论] TG506[金属学及工艺—金属切削加工及机床]