Tool condition monitoring of diamond-coated burrs with acoustic emission utilising machine learning methods
Thomas Jessel,
Carl Byrne,
Mark Eaton
et al.
Abstract:Within manufacturing there is a growing need for autonomous Tool Condition Monitoring (TCM) systems, with the ability to predict tool wear and failure. This need is increased, when using specialised tools such as Diamond-Coated Burrs (DCBs), in which the random nature of the tool and inconsistent manufacturing methods create large variance in tool life. This unpredictable nature leads to a significant fraction of a DCB tool’s life being underutilised due to premature replacement. Acoustic Emission (AE) in conj… Show more
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