engleski

Optimisation of Machining Process Using Evolutionary Algorithms

Advanced manufacturing requires a powerful tool for reliable modeling and solving the complex machining optimization problems. A non-conventional approach using evolutionary algorithms inspired by Darwinian findings about the evolution of the biological species and the survival of the fittest organisms (i.e. natural selection) is proposed. It is illustrated with an experiment of longitudinal hard turning. Genetic programming (GP) is used to develop the models of both the surface roughness and the tool life considering the cutting speed, the feed and the depth of cut as predetermined cutting parameters. Finally, genetic algorithm (GA) is applied for their optimization.

Cutting, Optimization, Evolutionary algorithms

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