Do-Hun Chin

Monitoring of Tooth Passing and Chatter Properties in End-Milling

The purpose of this study is to develop a reliable machining condition monitoring system (MCMS) of end-milling for practicing engineers, which is a monitoring system with time series recursive algorithm. The suggested MCMS can analyze end-milling force signals using power spectrum analysis (PSA) and frequency response function analysis (FRFA) with recursive parametric model. Comparing with other non-parametric technique of time series, the suggested PSA and FRFA are using recursive parametric techniques. It is applied to practical application for monitoring of tooth passing which is closely related to spindle speed and chatter vibration. In order to detect several independent physical components such as tooth passing and chatter, it is presented in the frequency domain. This analysis provides an effective method in monitoring. The proposed MCMS is an efficient and reliable method for detecting spindle speed and malfunction behavior. In PSA and FRFA analysis, the recursive extended instrument variable(REIV) is used for on-line identification and mode detection in end-milling. The objective of MCMS in this work also includes a comparison of chatter and tooth passing with recursive algorithm.