A Study on Chatter Prediction in High-Speed End Milling Process by Fuzzy Neural Netgwork

Abstract

The purpose of this study is to introduce a new approach for predicting chatter in high-speed end milling by using a fuzzy neural network. First, a milling experimental setup is built and a set of valuable experimental data is acquired under different tool wear states and carefully selected cutting parameters. Second, the experimental system is simplified into a fuzzy neural network model that is trained in the experimental data. Third, some simulation results are obtained on the basis of the trained model. Finally, the calculated results are compared with the experimental ones in order to check the effectiveness of the method described.