Paper Title:
Dynamic Modeling of Predicting Chip Formation Based on Artificial Neural Networks and Real-Time Simulation of Chip
  Abstract

For the problem of process monitoring of chip generation in CNC machining, the dynamic modeling of predicting chip formation using artificial neural networks based on real-time condition intelligent monitoring was studied. The dynamic model of predicting chip formation is established in this paper. Based on mathematical model of chip space motion path, the 3D model of chip shape was developed. The real-time simulation of chip generation was realized in the virtual reality environment.

  Info
Periodical
Edited by
Shen Dong and Yingxue Yao
Pages
269-275
DOI
10.4028/www.scientific.net/KEM.339.269
Citation
W. J. Wang, T. Y. Wang, S. B. Fan, W.Y. Wang, G.F. Wang, W. Zhang, "Dynamic Modeling of Predicting Chip Formation Based on Artificial Neural Networks and Real-Time Simulation of Chip", Key Engineering Materials, Vol. 339, pp. 269-275, 2007
Online since
May 2007
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