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  HomeContents of Chinese Journal of Mechanical Engineering 2001 No.6SIMULATIVE STUDY ON ELIMINATING OF SELF-EXCITED OSCILLATION IN TURNING PROCESS VIA NEURAL NETWORK CONTROL TECHNOLOGY

SIMULATIVE STUDY ON ELIMINATING OF SELF-EXCITED OSCILLATION IN TURNING PROCESS VIA NEURAL NETWORK CONTROL TECHNOLOGY


Wang Xinqing  Wang Yaohua  Yan Jun

(PLA University of Science and Technology)

 

Abstract: Self-excited oscillation in turning process is a kind of unstable phenomenon resulting from former vibration trace. Eliminating of the phenomenon is a key technology in cutting process. Back propagation neural network (BP network) is introduced to control behaviors of nonlinear or unstable system. According to neural network control technology a new technology for the elimination of self-excited oscillation in turning process is put forward. Numerical simulation examples show that such technology plays special roles in the eliminating of self-excited oscillation and the control of turning stability.

Key words: Self-excited oscillation  Neural network  Regenerative chatter
CLC No: TH132
Received 20000410, received in revised form 20001228

 

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