A Study of Chatter Prediction Using by Fuzzy Neural Network

Abstract

A prediction method of chatter vibration is proposed in high-speed end milling operation. Chatter vibration occurring in mechanical part gives rise to poor surface finish and dimensional accuracy in machined part, reduction of tool life, and even damages machined machine tools. The purpose of this study is too develop and expert system for predicting chatter vibrations in high-speed end milling using wavelet packet transform and fuzzy neural network models. The proposed method is applied to a jig grinding machine, and the results demonstrate the effectiveness of the chatter prediction procedure.