Abstract
Drilling is a frequently used machining operation in manufacturing industries. Continuous operation of the drilling tool results in tool wear which affects the surface finish and dimensional accuracy of the work. In this paper, the feasibility of early detection of limiting tool wear has been explored. Tool performance is monitored by acquiring the vibration signals developed during the drilling of stainless steel plates using HSS tool. Statistical features are extracted from the vibration signals based on which the tool wear condition is differentiated by K-Star classifier. The classification accuracy obtained is 79.56%.
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