Early Diagnosis and Online Monitoring of Machine Tool Chatter

Abstract

Based on the nonlinear theory of machine tool chatter described in last two chapters, this chapter studies the early diagnosis and online control of chatter. First, through the experimental study, the appropriate monitoring signal is selected to monitor the stability of a cutting system. Then, the characteristic changes of the monitoring signal in the transition process from stable to unstable of a cutting system are analyzed, and the characteristics quantities of the system reflecting the degree of tending to instability are selected and their quick algorithm are established. The methods and strategies of the early diagnosis of chatter were discussed. The effectiveness of on line adjusting the cutting parameters to suppress the chatter is experimentally verified and the adjustment strategy established. Finally, an experimental system of on-line cutting chatter monitoring and controlling is established, and good experimental results are obtained.