The Monitoring of CNC Machine Processing Condition Based on the BP Neural Network

Zhong Qi Sheng; Jian Yong Wang; Zhi Peng Liu; Liang Dong

doi:10.4028/www.scientific.net/AMR.542-543.95

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 542-543The Monitoring of CNC Machine Processing Condition...

The Monitoring of CNC Machine Processing Condition Based on the BP Neural Network

Abstract:

As an example for the test of built monitoring system, the experimentation was carried out to monitor the condition of tool wear, which related with the machining process closely. In pattern recognition, using the nonlinear mapping function of neural network, a three-layer BP artificial neural network was selected to carry out the mapping between the processing status and related signal features. In this way, the monitoring of machining processing was implemented. The Matlab Script node of LabVIEW software was used to call the neural network package of Matlab, which reduced the program development cycle and increased the reliability of the program. According to the cutting experimentation of the finger milling cutter, it is verified that BP artificial neural network can effectively recognize the tool condition and accomplish the wear prediction.

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Periodical:

Advanced Materials Research (Volumes 542-543)

Pages:

95-98

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.542-543.95

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Online since:

June 2012

Authors:

Zhong Qi Sheng, Jian Yong Wang, Zhi Peng Liu, Liang Dong

Keywords:

BP Neural Network (BPNN), CNC Machine Tool, Processing Condition Monitoring, Tool Wear, Ubiquitous Manufacturing

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References

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