Blanking Process Characterization Using Acoustic Emission
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.
In this paper the AE signal is characterized in terms of parameters of blanking speed, stock thickness and hardness. Good correlation exists of the AE peak amplitude and energy of Ihe rupture burst with these parameters. Also the experimental results are in accord with the theory presented.
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