Pregled bibliografske jedinice broj: 846265
MULTI-RESPONSE OPTIMIZATION OF BALL-END MILLING PARAMETERS USING THE TAGUCHI-BASED GREY RELATIONAL ANALYSIS
MULTI-RESPONSE OPTIMIZATION OF BALL-END MILLING PARAMETERS USING THE TAGUCHI-BASED GREY RELATIONAL ANALYSIS // Journal of trends in the development of machinery and associated technology, 20 (2016), 1; 33-36 (podatak o recenziji nije dostupan, članak, znanstveni)
CROSBI ID: 846265 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
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
Izvornik
Journal of trends in the development of machinery and associated technology (2303-4009) 20
(2016), 1;
33-36
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
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
