Research on Numerical Control Program Based on Fuzzy Neural Network

Article Preview

Abstract:

According to the processed materials, characteristics of their shapes, process precision and other conditions, a fuzzy neural network (FNN) can be trained with experiment data. The trained network can automatically select process parameters by using the fuzzy neural network (FNN) technology, and the selected process parameters can be saved in the computer in file. In this way, the selected process parameters can enter into the process program during the programming and the automatic selection can be accomplished, so that full automatic achievement of NC process program is feasible.

You might also be interested in these eBooks

Info:

Periodical:

Key Engineering Materials (Volumes 392-394)

Pages:

729-734

Citation:

Online since:

October 2008

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2009 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] M.T. Shao: Mechanical Engineer, Vol. 36 (2005) No. 3, pp.11-12 (In Chinese).

Google Scholar

[2] B.H. Lu, J.Y. Yu and F.R. Zhang: Fundamentals of Mechanical Manufacturing Technology (China Machine Press, China 2001), pp.25-50 (In Chinese).

Google Scholar

[3] X.L. Zhu, B.D. Wu and X.X. Wu: Computer Integrated Manufacturing Systems, Vol. 10 (2004) No. 9, pp.1139-1143 (In Chinese).

Google Scholar

[4] X.L. Zhu: The Research on the Application of Fuzzy Neural Network in Choosing Machining Parameters (PhD., Jilin University, China 2006), pp.82-116 (In Chinese).

Google Scholar