Optimisation of process planning functions by genetic algorithms
Computers and Industrial Engineering - Special issue on computational intelligence for industrial engineering
Selection of cutting tools and conditions of machining operations using an expert system
Computers in Industry
Integration of CAD and a cutting tool selection system
Computers and Industrial Engineering
Soft Computing and Hybrid AI Approaches to Intelligent Manufacturing
IEA/AIE '98 Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial In telligence and Expert Systems: Tasks and Methods in Applied Artificial Intelligence
Computers and Operations Research
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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.