Chatter Identification of Three-Dimensional Elliptical vibration Cutting Process Based on Empirical Mode Decomposition and Feature Extraction

Applied Sciences

Allen Yi¹  Dongpo Zhao²  Mingming Lu²  Bin Chen²  Jiakang Zhou²  Hao Wang²  Jieqiong Lin² 

[1] Department of Industrial, Welding and Systems Engineering, Ohio State University, 210 Baker Systems Building, 1971 Neil Avenue, Columbus, OH 43210, USA;Key Laboratory of Micro-Nano and Ultra-precision Manufacturing of Jilin Province, School of Mechatronic Engineering, Changchun University of Technology, Changchun 130012, China;

关键词: chatter identification;    three-dimensional elliptical vibration cutting;    empirical mode decomposition;    intrinsic mode function;    feature extraction;   

DOI  :  10.3390/app9010021

来源: DOAJ

【 摘 要 】

Three-dimensional elliptical vibration cutting (3D-EVC) is one of the machining methods with the most potential in ultra-precision machining; its unique characteristics of intermittent cutting, friction reversal, and ease of chip removal can improve the machinability of materials in the cutting processes. However, there is still not much research about the chattering phenomenon in the 3D-EVC process. Therefore, based on the empirical mode decomposition (EMD) technique and feature extraction, a chatter identification method for 3D-EVC is proposed. In 3D-EVC operations, the vibration signal is collected by the displacement sensors and converted to frequency domain signal by fast Fourier transform (FFT). To identify tool cutting state using the vibration frequency signal, the vibration signals are decomposed using empirical mode decomposition (EMD), a series of intrinsic mode functions (IMFs), so the instantaneous frequency can be reflected by the vibration signals at any point. Then, selecting the primary IMFs which contain rich chatter information as the object in feature extraction identification, and two identification indexes, that is, the mean square frequency and self-correlation coefficient, are calculated for the primary IMFs by MATLAB software, to judge the chatter phenomenon. The experimental results showed that the mean square frequency and self-correlation coefficient of the three cutting states increase with the increase in the instability of the cutting state. The effectiveness of the improved chatter recognition method in 3D-EVC machining is verified.

【 授权许可】

Unknown