Naslov
MULTI-RESPONSE OPTIMIZATION OF BALL-END MILLING PARAMETERS USING THE TAGUCHI-BASED GREY RELATIONAL ANALYSIS

Autori
Sekulić, Milenko ; Pejić, Vlastimir ; Gostimirović, Marin ; Jurković, Zoran

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
20th International Research/Expert Conference / Ekinović, S., Yalcin, S., Buj Corral, I. - : Faculty of Mechanical Engineering, Escola Tecnica Superior D'Enginyeria Industrial de Barcelona, Bahçeşehir University Istanbul, 2016, 49-52

Skup
Trends in the Development of Machinery and Associated Technology TMT 2016

Mjesto i datum
Sredozemno more, 24.09.2016. - 01.10.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
ball-milling; multi-response optimization; Taguchi-based Grey relational analysis

Sažetak
This paper presents an approach for optimization of machining parameters with multi-response outputs using design of experiment in ball-end milling. During the ball-end milling of hardened steel, process performance indicators such as surface roughness, material removal rate and resultant cutting force were measured. The process parameters which are spindle speed, feed per tooth, axial depth of cut and radial depth of cut were simultaneously optimized by the Taguchi-based Grey relational analysis. Experiments are designed and conducted based on Taguchi's L25 orthogonal array design. Based on grey relational grade value, optimum levels of parameters have been identified by using response table and response graph and the significant contributions of controlling parameters are estimated using analysis of variances (ANOVA). Confirmation test is conducted for the optimal machining parameters to validate the test result.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo

POVEZANOST RADA