吉林大学学报(工学版) ›› 2000, Vol. 30 ›› Issue (02): 10-14.

• paper • Previous Articles     Next Articles

Vibration Drilling Simulation and Parametric Optimum Based on Artificial Neural Network

ZHAO Hong-wei1, WANG Li-jiang2, ZANG Xue-bai1, LING Xing-hong1   

  1. 1. College of Information Science and Engineering, Jilin University of Technology, Changchun130025, China;
    2. College of Mehanical Science and Engineering, Jinn University of Technology, Changchun130025, China
  • Received:1999-09-16 Online:2000-04-25 Published:2000-04-25

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Abstract:

This paper proposes a procedure for ANN in vibration drilling, mainly studying the model and algorithm of ANN which are applied to processing simulation and parametric optimum of varying-parameters vibration drilling. The experiments show that the ANN systems are of high precision. It also provides a new study and analysis method for the study of vibration drilling.

Key words: artificial neural network, BP algorithm, vibration drilling, simulation

CLC Number: 

  • TH161.5


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