Pregled bibliografske jedinice broj: 596117
Application of simulated annealing method in the cutting parameters optimization regarding surface roughness
Application of simulated annealing method in the cutting parameters optimization regarding surface roughness // Proceedings of 11th International Scientific Conference MMA 2012 - Advanced Production Technologies / Ćosić, Ilija (ur.).
Novi Sad: FTN, Graphic Centre GRID, Novi Sad, 2012. str. 9-12 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 596117 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Application of simulated annealing method in the cutting parameters optimization regarding surface roughness
Autori
Bilić, Boženko ; Trlin, Goran ; Vojković, Vjeran
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 11th International Scientific Conference MMA 2012 - Advanced Production Technologies
/ Ćosić, Ilija - Novi Sad : FTN, Graphic Centre GRID, Novi Sad, 2012, 9-12
ISBN
978-86-7892-429-3
Skup
11th International Scientific Conference MMA 2012 - Advanced Production Technologies
Mjesto i datum
Novi Sad, Srbija, 20.09.2012. - 21.09.2012
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Longitudinal turning; Surface roughness; Cutting parameters; Simulated annealing
Sažetak
As a basic machining process, turning is one of the most widely used metal removal processes in industry. In modern industry the goal is to manufacture low cost, high quality products in short time. Surface roughness is an important measure of the technological quality of a product and a factor that greatly influences manufacturing cost. This paper deals with the influence analysis of cutting parameters (cutting speed, depth and feed) on the surface roughness for the case of longitudinal turning. Mathematical modeling of surface roughness was carried out by second order central composite experimental design and regression analysis. The cutting parameters in the regression equation are optimized using simulated annealing optimization method.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
023-0231926-2194 - Tehnološko-organizacijsko optimiranje kompetencijske stanice
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
Profili:
Boženko Bilić
(autor)