WIT Press


On-line Tool Wear Classification In Unmanned Machining Environments

Price

Free (open access)

Paper DOI

10.2495/LAMDAMAP970021

Volume

16

Pages

11

Published

1997

Size

989 kb

Author(s)

Pan Fu, A.D. Hope and M. Javed

Abstract

Modern advanced machining systems in the "unmanned" factory must possess the ability to automatically change tools that have been subjected to wear or damage. This can ensure machining accuracy and reduce the production costs. A practical on-line tool wear monitoring and classification system is urgently needed by industrial users and this paper presents an intelligent system for intermittent machining processes, such as milling. The system is fitted with multi-sensors to collect different signals from the machining process and the data is processed by the use of intelligent techniques. Different types of transducers were initially investigated during a large number of experiments and as a result, four sensors, i.e. load, force, vibration and acoustic emission, were chosen. Fuzzy pattern recognition techniques

Keywords