Improving the surface roughness at longitudinal turning using the different optimization methods
Zoran Jurkovic
orcid.org/0000-0002-7202-156X
; Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia
Goran Cukor
orcid.org/0000-0002-6767-0960
; Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia
Imrich Andrejcak
; Faculty of Environmental and Manufacturing Technology, Technical University in Zvolen, Študentská 26, 960 53 Zvolen, Slovakia
APA 6th Edition Jurkovic, Z., Cukor, G. i Andrejcak, I. (2010). Improving the surface roughness at longitudinal turning using the different optimization methods. Tehnički vjesnik, 17 (4), 397-402. Preuzeto s https://hrcak.srce.hr/62913
MLA 8th Edition Jurkovic, Zoran, et al. "Improving the surface roughness at longitudinal turning using the different optimization methods." Tehnički vjesnik, vol. 17, br. 4, 2010, str. 397-402. https://hrcak.srce.hr/62913. Citirano 20.04.2021.
Chicago 17th Edition Jurkovic, Zoran, Goran Cukor i Imrich Andrejcak. "Improving the surface roughness at longitudinal turning using the different optimization methods." Tehnički vjesnik 17, br. 4 (2010): 397-402. https://hrcak.srce.hr/62913
Harvard Jurkovic, Z., Cukor, G., i Andrejcak, I. (2010). 'Improving the surface roughness at longitudinal turning using the different optimization methods', Tehnički vjesnik, 17(4), str. 397-402. Preuzeto s: https://hrcak.srce.hr/62913 (Datum pristupa: 20.04.2021.)
Vancouver Jurkovic Z, Cukor G, Andrejcak I. Improving the surface roughness at longitudinal turning using the different optimization methods. Tehnički vjesnik [Internet]. 2010 [pristupljeno 20.04.2021.];17(4):397-402. Dostupno na: https://hrcak.srce.hr/62913
IEEE Z. Jurkovic, G. Cukor i I. Andrejcak, "Improving the surface roughness at longitudinal turning using the different optimization methods", Tehnički vjesnik, vol.17, br. 4, str. 397-402, 2010. [Online]. Dostupno na: https://hrcak.srce.hr/62913. [Citirano: 20.04.2021.]
Sažetak Determination of optimal machining parameters is a continuous engineering task whose goals are to reduce the production costs and to achieve the desired product quality. Hence, this paper presents and discusses different optimization methods to determine the optimal values of cutting speed, feed and depth of cut with the purpose of improving the surface roughness obtained in the finish longitudinal turning operation. Two experimental plans, one based on the conventional rotatable central composite design and the other based on the orthogonal arrays and signal-to-noise ratio were carried out on the practical case. By using these plans, different optimization methods, namely analytical, classical mathematical, Taguchi and artificial neural networks were performed and the results of optimal cutting parameters obtained with these methods were compared. Finally, the features, the merits and the limitations of the presented optimization methods were discussed.