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Automatic selection of cutting tools geometry using an evolutionary approach

Abstract:

This paper presents the application of an evolutionary algorithm for the definition of the optimal cutting tool geometry in machining operations. In essence, the proposed approach points to the use of a genetic algorithm for selecting adequate cutting tool angles. This optimization approach was developed considering a Macro Optimization Model reported in the literature. To determine the most appropriate configuration of the genetic algorithm and its parameters a set of tests were carried out. The different algorithm settings were tested against data obtained from experimental test carried out and provided by the authors of the optimization model. A variety of simulations were carried out to validate the performance of the system and to show the usefulness of the applied approach. The definition of proposed approach also has presented the following main conclusion: through the utilization of the evolutionary approach, the selection of the appropriate cutting tool geometry is possible in real world environments. © 2008 Springer-Verlag Berlin Heidelberg.