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.
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This paper was recommended for publication in revised form by Associate Editor Song Min Yoo
J. Bhaskaran is currently an Associate Professor in the Department of Mechanical Engineering, B. S. Abdur Rahman University, Chennai, India. Currently, he is preparing for his Ph.D under the research topic “Process monitoring in hard turning.” His area of teaching and research includes metal cutting, metrology, and machine tools.
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Bhaskaran, J., Murugan, M., Balashanmugam, N. et al. Monitoring of hard turning using acoustic emission signal. J Mech Sci Technol 26, 609–615 (2012). https://doi.org/10.1007/s12206-011-1036-1
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DOI: https://doi.org/10.1007/s12206-011-1036-1