Chatter detection methods in the machining processes: A review

Abstract

Chatter is a self-excited vibration phenomenon occurring in the cutting process, and the onset of chatter will result in the worse machined surface and the redistribution of frequency and energy. Although the exploration of chatter has been continued for many years, there are still some problems to be researched in detail. The early researches are mainly focused on the prediction of stability with the aid of dynamic model, which is an off-line means. With the advancement of sensor technology, the on-line chatter detection has been investigated extensively. For the detection of chatter, it can be divided into four steps. First, the experiment data are obtained with various sensors, such as dynamometer, accelerometer and microphone. Second, the acquired signal is processed by some theoretical methods including time domain method, frequency domain method and time-frequency domain method. Third, different features are calculated and selected to indicate the cutting status. Finally, a decision is made based on the threshold method or intelligent recognition algorithm. This article comprehensively reviews the state of the art on the detection methods of the machining chatter.