Intelligent Monitor and Control System for Grinding Process

Abstract:

The intelligent monitor and control system for grinding process is proposed in this paper, it utilizes the nonlinear modeling theory and self-learning capability of neural network to setup non-liner mapping relations between grinding conditions and AE signals, and to realize grinding process intelligent monitor and control by picking-up grinding AE signals on line. Grinding quality can be monitored on-line, starting parameters for grinding process can be selected, on-line intelligent adjustment of grinding conditions also can bee realized by using this system.

• Periodical: Key Engineering Materials (Volumes 304-305)
• Pages: 535-539
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.304-305.535
• Online since: February 2006
• Authors: Gui Jie Liu, Ya Dong Gong, Wan Shan Wang
• Keywords: Control, Grinding Process, Intelligent System, Monitoring, Neural Network (NN)

References

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[3] G.J. Liu, Y.D. Gong and W.S. Wang: Diamond & Abrasives Engineering, Vol. 143 (2004) No. 5, p.24.

[4] G.J. Liu, Y.D. Gong and W.S. Wang: Tribology, Vol. 23 (2003) No. 3, p.236. No. Expected output Reality output Result 1 2 3 4 5 6 7 8 9 10.

4630 0. 2667 0. 2703 0. 4.

4630 0. 4000 0. 5219 0. 6.

4630 0. 5333 0. 3378 0. 4.

4630 0. 6667 0. 6757 0. 6.

3123 0. 2667 0. 0879 0. 2.

3123 0. 4000 0. 3225 0. 2.

3123 0. 5333 0. 6712 0. 6.

3123 0. 6667 0. 8791 0. 8.

2500 0. 2667 0. 0679 0. 2.

8615 0. 4000 0. 5388 0. 6.

4628 0. 2664 0. 2554 0. 4012.

4631 0. 3983 0. 5265 0. 5895.

4635 0. 5417 0. 3332 0. 4020.

4630 0. 6673 0. 6763 0. 5893.

3238 0. 2690 0. 0759 0. 1865.

3146 0. 4047 0. 2459 0. (2012).

3203 0. 5277 0. 6760 0. 5945.

3115 0. 6771 0. 8676 0. 7987.

3305 0. 2697 0. 1124 0. 1255.

7735 0. 3722 0. 6165 0. 4538 + + + + + + + + - - Table 4 Testing results.