Original scientific paper
Optimization of turning using evolutionary algorithms
Goran Cukor
; University of Rijeka, Faculty of engineering, Rijeka, Croatia
Zoran Jurković
orcid.org/0000-0002-7202-156X
; Faculty of Mechanical Engineering University of Miskolc
Abstract
Advanced manufacturing requires a powerful tool for reliable modeling and solving 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
in this paper. It is illustrated with an experiment of rough longitudinal turning. Genetic programming (GP) is used to
develop the models of the tool life, the tangential cutting force component and the surface roughness considering the
cutting speed, and the feed and the depth of cut as predetermined cutting parameters. Finally, the genetic algorithm
(GA) is applied for their optimization.
Keywords
turning; optimization; evolutionary algorithms
Hrčak ID:
63126
URI
Publication date:
23.12.2010.
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