Pregled bibliografske jedinice broj: 774002
MULTI-RESPONSE OPTIMIZATION OF TURNING PARAMETERS USING THE GREY-BASED TAGUCHI METHOD
MULTI-RESPONSE OPTIMIZATION OF TURNING PARAMETERS USING THE GREY-BASED TAGUCHI METHOD // 19th International Research/Expert Conference / Ekinović, S., Vivancos, J., Yalcin, S, (ur.).
Zenica: Faculty of Mechanical Engineering, Escola Tecnica Superior D'Enginyeria Industrial de Barcelona, Bahçeşehir University Istanbul, 2015. str. 13-16 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 774002 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
MULTI-RESPONSE OPTIMIZATION OF TURNING PARAMETERS USING THE GREY-BASED TAGUCHI METHOD
Autori
Puh, Franko ; Jurkovic, Zoran ; Cukor, Goran ; Perinic, Mladen ; Brezocnik, Miran ; Sekulic, Milenko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
19th International Research/Expert Conference
/ Ekinović, S., Vivancos, J., Yalcin, S, - Zenica : Faculty of Mechanical Engineering, Escola Tecnica Superior D'Enginyeria Industrial de Barcelona, Bahçeşehir University Istanbul, 2015, 13-16
Skup
Trends in the Development of Machinery and Associated Technology TMT 2015
Mjesto i datum
Barcelona, Španjolska, 22.07.2015. - 23.07.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Grey Relational analysis; Taguchi method; Multi-response optimization
Sažetak
Optimization of machining processes is essential for achieving of higher productivity and high quality products in order to remain competitive. This study investigates multi-response optimization of turning process for an optimal parametric combination to provide the minimum surface roughness (Ra) with the maximum material-removal rate (MRR) using a Grey–Based Taguchi method. Turning parameters considered are cutting speed, feed rate and depth of cut. Nine experimental runs based on Taguchi’s L9 (34) orthogonal array were performed followed by Grey relational analysis to solve the multi-response optimization problem. Based on grey relational grade value, optimum levels of parameters have been identified. The significance of parameters on overall quality characteristics of the cutting process has been evaluated by the analysis of variance (ANOVA). The optimal parameter values obtained during the study have been validated by confirmation experiment.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Ustanove:
Tehnički fakultet, Rijeka