Brief Summary of Research

Cutting tool life prediction is crucial to managing quality, cost, availability, and waste in machining processes. Cutting tool life is a stochastic variable, and the available literature does not address it comprehensively by considering various parameters like machining time, cutting speed, feed rate, depth of cut, and nose radius. This research proposes to develop and validate an experimental model to estimate the reliability of cutting tools.