A Statistical Model for Prediction of Tool Life as a Basis for Economical Optimization of the Cutting Process

Summary The paper is dedicated to the implementation of statistical optimization of the cutting process by identification and prediction of the tool condition and lifetime. A statistical model is presented which uses ideas from the theory of reliability and statistical quality control. Since the model is consistent with the Taylor equation, it can easily utilize existing information about relations between cutting data and tool life. A control strategy, which is based on the model, is put forward. Results from experimental tests of the statistical model and of the influence on the wear rate due to feed variations as well as of the performance of the control algorithm are presented.