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Engineering Review : Međunarodni časopis namijenjen publiciranju originalnih istraživanja s aspekta analize konstrukcija, materijala i novih tehnologija u području strojarstva, brodogradnje, temeljnih tehničkih znanosti, elektrotehnike, računarstva i građevinarstva, Vol. 30 No. 2, 2010.

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Optimization of turning using evolutionary algorithms

Goran Cukor ; Sveučilište u Rijeci, Tehnički fakultet, Rijeka, Hrvatska
Zoran Jurković orcid id orcid.org/0000-0002-7202-156X ; Sveučilište u Rijeci, Tehnički fakultet, Rijeka, Hrvatska

Puni tekst: hrvatski pdf 808 Kb

str. 1-10

preuzimanja: 1.166

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Puni tekst: engleski pdf 808 Kb

str. 1-10

preuzimanja: 488

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Sažetak

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.

Ključne riječi

turning; optimization; evolutionary algorithms

Hrčak ID:

63126

URI

https://hrcak.srce.hr/63126

Datum izdavanja:

23.12.2010.

Podaci na drugim jezicima: hrvatski

Posjeta: 2.884 *