A distributed intelligent monitoring system applied to a micro-scale turning process

Abstract

In this paper, a distributed intelligent monitoring system for a micro-scale turning process is presented. A fuzzy model, running on a distributed architecture, helps on decision-making about the imbalance degree of the spindle in the ultra-precision diamond turning process. The suitability of a three-input/single-output fuzzy model is assessed directly on an ultra-precision lathe, verifying it effectiveness. A brief explanation of the single point diamond turning process and problems caused by the vibrations generated due to the imbalance of the spindle, are also presented. Real-time application of the fuzzy decision making, as part of a networked distributed monitoring system, assists the operator when manufacturing complex parts. © 2009 Springer Berlin Heidelberg.