Pregled bibliografske jedinice broj: 206404
Optimisation of Machining Process Using Evolutionary Algorithms
Optimisation of Machining Process Using Evolutionary Algorithms // AMST'05 - Advanced Manufacturing Systems and Technology / Kuljanić, Elso (ur.).
Udine: Springer, 2005. str. 135-142
CROSBI ID: 206404 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Optimisation of Machining Process Using Evolutionary Algorithms
Autori
Cukor, Goran ; Kuljanić, Elso ; Barišić, Branimir
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
AMST'05 - Advanced Manufacturing Systems and Technology
Urednik/ci
Kuljanić, Elso
Izdavač
Springer
Grad
Udine
Godina
2005
Raspon stranica
135-142
ISBN
3-211-26537-6
Ključne riječi
Cutting, 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. 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.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
