Machine Cutting Tool Condition Monitoring Method of Aeroplane Composite Material Processing

Abstract

Because that the wear of the machine cutting tool of the aeroplane composite material processing is difficult to be monitored, in this paper a monitoring method based on the cellular neural networks by the computer vision monitoring is proposed. The method uses the median filtering technology and the cellular neural networks for the image denoising and the edge detection. Then the degree of the tool wear is judged by calculating the wear characteristic value of the cutting tool. The experimental results show that the system is rational and effective.