Abstract
The detection of tool wear and prediction of tool failure during blanking is essential if expensive breakdown of the machine is to be avoided. Acoustic Emission (AE) is one of the techniques that has been used successfully to monitor drill breakage and may hold some promise for the detection of tool wear and failure in blanking. However, detection and prediction of this failure can only be achieved when the mechanism of AE signal generation in blanking is fully understood.
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