Affiliation:
1. AVIC Chengdu Aircraft Industrial (Group) Co. Ltd
Abstract
This paper analyzes CNC machine tools machining error sources, put forward a kind of on-line monitoring technology of CNC machine tools machining accuracy based on online neural network. Through the establishment of CNC machine tools condition monitoring platform, collection sensor signal of the key components of CNC machine tools, using time domain and frequency domain method of the original signal processing, extract the characteristic related to machining accuracy change, input to the neural network, identification the changes of machining accuracy. The experimental results show that, the on-line monitoring technology based on neural network, can identify the changes of machining accuracy.
Publisher
Trans Tech Publications, Ltd.
Reference8 articles.
1. W.T. Lei, M.P. Sung, W.L. Liu, etc. Double ballbar test for the rotary axes of five-axis CNC machine tools [J]. International Journal of Machine Tools & Manufacture , 2007, 47: 273-285.
2. W.T. Lei, I.M. Paung, Chen-Chi Yu. Total ballbar dynamic tests for five-axis CNC machine tools [J]. International Journal of Machine Tools & Manufacture, 2009, 49: 488-499.
3. W.T. Lei, Y.Y. Hsu. Error measurement of five-axis CNC machines with 3D probe-ball [J]. Journal of Material Processing Technology, 2003, 139: 127-133.
4. Zhu Shixue. Research of CNC machines precision detection and improvement [J]. Manufacturing Technology & Machine Tool, 2010, 7: 133-136.
5. Shen Xingquan, Zhang Qing. Detection and compensation of error precision of three axis CNC machine tool [J]. Journal of Test and Measurement Technology, 2005, 19(3): 264-268.