Multi-objective optimization of cut quality characteristic in CO2 laser cutting stainless steel
Miloš Madić
orcid.org/0000-0002-2310-2590
; Faculty of Mechanical Engineering, University of Niš, Aleksandra Medvedeva 14, 18000 Niš, Serbia
Miroslav Radovanović
; Faculty of Mechanical Engineering, University of Niš, Aleksandra Medvedeva 14, 18000 Niš, Serbia
Bogdan Nedić
orcid.org/0000-0002-4236-3833
; Faculty of Engineering, University of Kragujevac, Sestre Janjić 6, 34000 Kragujevac, Serbia
Vlatko Marušić
; Mechanical Engineering Faculty in Slavonski Brod, J. J. Strossmayer University of Osijek, Trg Ivane Brlić Mažuranić 2, 35000 Slavonski Brod, Croatia
APA 6th Edition Madić, M., Radovanović, M., Nedić, B. i Marušić, V. (2015). Multi-objective optimization of cut quality characteristic in CO2 laser cutting stainless steel. Tehnički vjesnik, 22 (4), 885-892. https://doi.org/10.17559/TV-20140211234150
MLA 8th Edition Madić, Miloš, et al. "Multi-objective optimization of cut quality characteristic in CO2 laser cutting stainless steel." Tehnički vjesnik, vol. 22, br. 4, 2015, str. 885-892. https://doi.org/10.17559/TV-20140211234150. Citirano 01.03.2021.
Chicago 17th Edition Madić, Miloš, Miroslav Radovanović, Bogdan Nedić i Vlatko Marušić. "Multi-objective optimization of cut quality characteristic in CO2 laser cutting stainless steel." Tehnički vjesnik 22, br. 4 (2015): 885-892. https://doi.org/10.17559/TV-20140211234150
Harvard Madić, M., et al. (2015). 'Multi-objective optimization of cut quality characteristic in CO2 laser cutting stainless steel', Tehnički vjesnik, 22(4), str. 885-892. https://doi.org/10.17559/TV-20140211234150
Vancouver Madić M, Radovanović M, Nedić B, Marušić V. Multi-objective optimization of cut quality characteristic in CO2 laser cutting stainless steel. Tehnički vjesnik [Internet]. 2015 [pristupljeno 01.03.2021.];22(4):885-892. https://doi.org/10.17559/TV-20140211234150
IEEE M. Madić, M. Radovanović, B. Nedić i V. Marušić, "Multi-objective optimization of cut quality characteristic in CO2 laser cutting stainless steel", Tehnički vjesnik, vol.22, br. 4, str. 885-892, 2015. [Online]. https://doi.org/10.17559/TV-20140211234150
APA 6th Edition Madić, M., Radovanović, M., Nedić, B. i Marušić, V. (2015). Višekriterijska optimizacija karakteristika kvalitete reza kod CO2 laserskog rezanja nehrđajućeg čelika. Tehnički vjesnik, 22 (4), 885-892. https://doi.org/10.17559/TV-20140211234150
MLA 8th Edition Madić, Miloš, et al. "Višekriterijska optimizacija karakteristika kvalitete reza kod CO2 laserskog rezanja nehrđajućeg čelika." Tehnički vjesnik, vol. 22, br. 4, 2015, str. 885-892. https://doi.org/10.17559/TV-20140211234150. Citirano 01.03.2021.
Chicago 17th Edition Madić, Miloš, Miroslav Radovanović, Bogdan Nedić i Vlatko Marušić. "Višekriterijska optimizacija karakteristika kvalitete reza kod CO2 laserskog rezanja nehrđajućeg čelika." Tehnički vjesnik 22, br. 4 (2015): 885-892. https://doi.org/10.17559/TV-20140211234150
Harvard Madić, M., et al. (2015). 'Višekriterijska optimizacija karakteristika kvalitete reza kod CO2 laserskog rezanja nehrđajućeg čelika', Tehnički vjesnik, 22(4), str. 885-892. https://doi.org/10.17559/TV-20140211234150
Vancouver Madić M, Radovanović M, Nedić B, Marušić V. Višekriterijska optimizacija karakteristika kvalitete reza kod CO2 laserskog rezanja nehrđajućeg čelika. Tehnički vjesnik [Internet]. 2015 [pristupljeno 01.03.2021.];22(4):885-892. https://doi.org/10.17559/TV-20140211234150
IEEE M. Madić, M. Radovanović, B. Nedić i V. Marušić, "Višekriterijska optimizacija karakteristika kvalitete reza kod CO2 laserskog rezanja nehrđajućeg čelika", Tehnički vjesnik, vol.22, br. 4, str. 885-892, 2015. [Online]. https://doi.org/10.17559/TV-20140211234150
Sažetak In this paper, multi-objective optimization of the cut quality characteristics in CO2 laser cutting of AISI 304 stainless steel was discussed. Three mathematical models for the prediction of cut quality characteristics such as surface roughness, kerf width and heat affected zone were developed using the artificial neural networks (ANNs). The laser cutting experiment was planned and conducted according to the Taguchi’s L27 orthogonal array and the experimental data were used to train single hidden layer ANNs using the Levenberg-Marquardt algorithm. The ANN mathematical models were developed considering laser power, cutting speed, assist gas pressure, and focus position as the input parameters. Multi-objective optimization problem was formulated using the weighting sum method in which the weighting factors that are used to combine cut quality characteristics into the single objective function were determined using the analytic hierarchy process method.