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Prethodno priopćenje
https://doi.org/10.31803/tg-20180201125123

Optimization of machining parameters in face milling using multi-objective Taguchi technique

Yusuf Fedai ; Department of Manufacturing Engineering, Osmaniye Korkut Ata University, Osmaniye, Turkey
Funda Kahraman ; Department of Mechatronics Engineering, Mersin University, Mersin, Turkey
Hediye Kirli Akin ; Department of Manufacturing Engineering, Osmaniye Korkut Ata University, Osmaniye, Turkey
Gokhan Basar   ORCID icon orcid.org/0000-0002-9696-7579 ; Department of Manufacturing Engineering, Osmaniye Korkut Ata University, Osmaniye, Turkey

Puni tekst: engleski, pdf (613 KB) str. 104-108 preuzimanja: 248* citiraj
APA 6th Edition
Fedai, Y., Kahraman, F., Kirli Akin, H. i Basar, G. (2018). Optimization of machining parameters in face milling using multi-objective Taguchi technique. Tehnički glasnik, 12 (2), 104-108. https://doi.org/10.31803/tg-20180201125123
MLA 8th Edition
Fedai, Yusuf, et al. "Optimization of machining parameters in face milling using multi-objective Taguchi technique." Tehnički glasnik, vol. 12, br. 2, 2018, str. 104-108. https://doi.org/10.31803/tg-20180201125123. Citirano 14.12.2019.
Chicago 17th Edition
Fedai, Yusuf, Funda Kahraman, Hediye Kirli Akin i Gokhan Basar. "Optimization of machining parameters in face milling using multi-objective Taguchi technique." Tehnički glasnik 12, br. 2 (2018): 104-108. https://doi.org/10.31803/tg-20180201125123
Harvard
Fedai, Y., et al. (2018). 'Optimization of machining parameters in face milling using multi-objective Taguchi technique', Tehnički glasnik, 12(2), str. 104-108. https://doi.org/10.31803/tg-20180201125123
Vancouver
Fedai Y, Kahraman F, Kirli Akin H, Basar G. Optimization of machining parameters in face milling using multi-objective Taguchi technique. Tehnički glasnik [Internet]. 2018 [pristupljeno 14.12.2019.];12(2):104-108. https://doi.org/10.31803/tg-20180201125123
IEEE
Y. Fedai, F. Kahraman, H. Kirli Akin i G. Basar, "Optimization of machining parameters in face milling using multi-objective Taguchi technique", Tehnički glasnik, vol.12, br. 2, str. 104-108, 2018. [Online]. https://doi.org/10.31803/tg-20180201125123

Sažetak
In this research, the effect of machining parameters on the various surface roughness characteristics (arithmetic average roughness (Ra), root mean square average roughness (Rq) and average maximum height of the profile (Rz)) in the milling of AISI 4140 steel were experimentally investigated. Depth of cut, feed rate, cutting speed and the number of insert were considered as control factors; Ra, Rz and Rq were considered as response factors. Experiments were designed considering Taguchi L9 orthogonal array. Multi signal-to-noise ratio was calculated for the response variables simultaneously. Analysis of variance was conducted to detect the significance of control factors on responses. Moreover, the percent contributions of the control factors on the surface roughness were obtained to be the number of insert (71.89 %), feed (19.74 %), cutting speed (5.08%) and depth of cut (3.29 %). Minimum surface roughness values for Ra, Rz and Rq were obtained at 325 m/min cutting speed, 0.08 mm/rev feed rate, 1 number of insert and 1 mm depth of cut by using multi-objective Taguchi technique.

Ključne riječi
milling; optimization; surface roughness; Taguchi

Hrčak ID: 202362

URI
https://hrcak.srce.hr/202362

Posjeta: 450 *