Pregled bibliografske jedinice broj: 496975
Optimization of Turning using Evolutionary Algorithms
Optimization of Turning using Evolutionary Algorithms // Engineering review : znanstveni časopis za nove tehnologije u strojarstvu, brodogradnji i elektrotehnici, 30 (2010), 2; 1-10 (podatak o recenziji nije dostupan, članak, znanstveni)
CROSBI ID: 496975 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Optimization of Turning using Evolutionary Algorithms
Autori
Cukor, Goran ; Jurković, Zoran
Izvornik
Engineering review : znanstveni časopis za nove tehnologije u strojarstvu, brodogradnji i elektrotehnici (1330-9587) 30
(2010), 2;
1-10
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
turning; optimization; evolutionary algorithms
Sažetak
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 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, the feed and the depth of cut as predetermined cutting parameters. Finally, genetic algorithm (GA) is applied for their optimization.
Izvorni jezik
Hrvatski, engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
069-0692976-1738 - Istraživanje visokoproduktivnih obrada na inteligentnim obradnim sustavima (Kuljanić, Elso, MZOS ) ( CroRIS)
Ustanove:
Tehnički fakultet, Rijeka
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
Uključenost u ostale bibliografske baze podataka::
- Zentrallblatt für Mathematik/Mathematical Abstracts
