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| Monitoring of hard turning using acoustic emission signal
J. Bhaskaran*, M. Murugan, N. Balashanmugam and M. Chellamalai
The Journal of Mechanical Science and Technology, vol. 26, no. 2, pp.609-615, 2012
Abstract : Monitoring of tool wear during hard turning is essential. Many investigators have analyzed the acoustic emission (AE) signals generated
during machining to understand the metal cutting process and for monitoring tool wear and failure. In the current study on hard turning,
the skew and kurtosis parameters of the root mean square values of AE signal (AERMS) are used to monitor tool wear. The rubbing
between the tool and the workpiece increases as the tool wear crosses a threshold, thereby shifting the mass of AERMS distribution to right,
leading to a negative skew. The increased rubbing also led to a high kurtosis value in the AERMS distribution curve.
Keyword : Beta distribution; Hard turning; Process monitoring; Statistical analysis |
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