作　　者： ; ; ;

机构地区： 浙江大学机械工程学系浙江省先进制造技术重点研究实验室

出　　处： 《光学精密工程》 2011年第6期1291-1297,共7页

摘　　要： 针对精密孔镗削加工过程中容易出现颤振现象,影响精密孔的表面质量问题,建立了镗削加工的监测系统,对镗削颤振信号进行特征提取,以实现对镗削颤振的快速预报。首先,根据颤振信号的时频特点,将经验模态分解(EMD)和希尔伯特-黄变换(HHT)引入颤振特征提取过程,并介绍了其基本原理及具体实现过程。然后,在线拾取镗杆的振动信号,并对振动信号进行EMD分解和HHT变换。最后,通过对各本征模态函数分量的Hilbert谱分析,提取出了颤振发生的征兆特征。实验结果表明,利用EMD和HHT对镗削振动信号进行特征提取,可以在颤振形成之前0.5s得到颤振爆发的征兆,为后续的颤振抑制工作赢取时间,进而确保精密孔的表面加工质量。 For the chatter occured frequently in precise hole boring processing and resulted in low quality of finished surface,a chatter monitoring system was established to finish the feature extraction of the chatter to predict the chatter and gain the precious time for chatter suppression.Firstly,according to the characteristics of chatter signals,Empirical Mode Decomposition（EMD） and Hilbert-Huang Transform（HHT） were introduced to extract the chatter feature,and their basic theories were investigated.Then,the vibration of boring bar was picked up online during the process,and the vibration signal was decomposed by EMD and then transformed by HHT.Finally,the feature of chatter symptom was extracted by analyzing the Hilbert spectrum of each Intrinsic Mode Function（IMF）.The experimental results show that extracting chatter feature from vibration of boring bar by EMD and HHT can gain the chatter symptom by 0.5 s ahead of the chatter outbreak,which can provide sufficient guarantee for follow-up chatter suppression and can provide the high quality surface for workpieces.

关 键 词： 精密孔镗削 颤振 经验模态分解 希尔伯特 黄变换 特征提取

领　　域： [金属学及工艺] [自动化与计算机技术] [自动化与计算机技术]