Paper Title:
Research on Integrated Architecture for Tool Wear Monitoring System of CNC Machine Center
  Abstract

Cutting tool wear degrades the machining quality and reliability of CNC machine tool significantly in machining processes. Methods for monitoring tool wear online are therefore crucial to implement optimization of the cutting parameters and improvement of manufacturing processes performance. An intelligent tool wear estimation system that integrates condition monitoring, pattern recognition and trend prediction has been presented in this paper. The raw signals contain useful information from several sensors measuring process variables are acquired and analyzed utilizing monitoring units. The obtained feature elements are processed using support vector machine algorithm to identify tool wear degree. The implementation mode and specific functions of the integrated system architecture is detailed described. The experimental results show that the integrated tool wear monitoring system is feasible and effective.

  Info
Periodical
Chapter
Chapter 3: Functional Manufacturing and Information Technology
Edited by
Hun Guo, Taiyong Wang, Zeyu Weng, Weidong Jin, Shaoze Yan, Xuda Qin, Guofeng Wang, Qingjian Liu and Zijing Wang
Pages
429-433
DOI
10.4028/www.scientific.net/AMM.141.429
Citation
Q. Ning, Q. J. Liu, L. Liu, "Research on Integrated Architecture for Tool Wear Monitoring System of CNC Machine Center", Applied Mechanics and Materials, Vol. 141, pp. 429-433, 2012
Online since
November 2011
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Price
$32.00
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