Chatter detection and stability regions identificationin thin-walled workpiece milling based on CWT

摘要：

　　Chatter detection and stability regions identificationin thin-walled workpiece is performed withContinuousWavelet Transform(CWT).Firstly,considering time-varying characteristicsof thin-walled workpieceduring the cutting process,the Hammer Mode Experimentis used to calculate the modal parameters,by which a more accurate stability lobe diagram(SLD)can be calculated.Secondly,in order to detect chatter,the acquired acoustic signal is analyzed by CWT,where the relationship between response frequency and cutting position can be obtained.Finally,the CWT is better than the Short-Time Fourier Transform(STFT)inanalyzing acoustic signals,from whichthe stability regions andthe chatter frequencyband can be obtained,so that the chatter can be avoided in milling.In addition,thesurface morphology are also observed to verify the accuracy of CWT.

关键词： Chatter detection Thin-walled parts Continuous Wavelet Transform Acoustic signal

作者: Gao Jian Song Qinghua Liu Zhanqiang Ai Xing

作者单位: School of Mechanical Engineering,Shandong University,Jinan 250061,P R China;Key Laboratory of High Efficiency and Clean Mechanical Manufacture,Ministry of Education,P R China

会议类型: 国际会议

会议名称: 第十七届国际制造会议(The 17th International Manufacturing Conference in China)(IMCC 2017))

会议地点: 深圳

会议语种:英文

页码: 1-7

在线出版日期: 2017-11-23（万方平台首次上网日期，不代表论文的发表时间）