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Engineering Review : International journal for publishing of original researches from the aspect of structural analysis, materials and new technologies in the field of mechanical engineering, shipbuilding, fundamental engineering sciences, computer sciences, electrical engin, Vol. 30 No. 2, 2010.

Original scientific paper

Optimization of turning using evolutionary algorithms

Goran Cukor ; University of Rijeka, Faculty of engineering, Rijeka, Croatia
Zoran Jurković orcid id orcid.org/0000-0002-7202-156X ; Faculty of Mechanical Engineering University of Miskolc

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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

https://hrcak.srce.hr/63126

Publication date:

23.12.2010.

Article data in other languages: croatian

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