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

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  • HINO Junichi
    University of Tokushima, Faculty of Engineering, Department of Mechanical Engineering
  • SU Chuanxin
    University of Tokushima, Faculty of Engineering, Department of Mechanical Engineering
  • YOSHIMURA Toshio
    University of Tokushima, Faculty of Engineering, Department of Mechanical Engineering

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Other Title
  • ファジィニューラルネットワークによる高速エンドミル加工時のびびり振動予測
  • ファジィニューラル ネットワーク ニ ヨル コウソク エンドミル カコウジノビビリ シンドウ ヨソク
  • A Study on Chatter Prediction in High-Speed End Milling Process by Fuzzy Neural Network
  • Study on Chatter Prediction in High Speed End Milling Process by Fuzzy Neural Network

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Description

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.

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