Tehnički vjesnik, Vol. 27 No. 3, 2020.
Izvorni znanstveni članak
https://doi.org/10.17559/TV-20190320104114
Modelling and Prediction of Effect of Machining Parameters on Surface Roughness in Turning Operations
Mustafa Özdemir
; Bozok University, Machine and Metal Technology Department, Vocational High School, Erdogan Akdag Kampüsü, Atatürk Yolu 7. Km 66900 Yozgat, Turkey
Sažetak
In this study, effects of different machining parameters on surface roughness in turning of St-37 material are presented. The machining experiments were carried out on the CNC lathe. In order to minimize the number of experiments, the experimental design was set up using Taguchi's L27 orthogonal array. Cutting speed (150 m/min, 200 m/min, and 250 m/min), feed rate (0,1 mm /rev, 0,2 mm/rev, and 0,3 mm/rev), depth of cut (0,5 mm, 1 mm, and 1,5 mm), and tool nose radius (0,4 mm, 0,8 mm and 1,2 mm) were used as control factors. The analysis of variance (ANOVA) was performed in order to determine the impact of the control factors on surface roughness. Signal/noise (S/N) ratios were determined in the Taguchi design. The results of the regression models and Taguchi Analysis revealed that the most effective parameters on surface roughness (Ra and Rz) were the feed rate (f) and tool nose radius (R).
Ključne riječi
analysis of variance; cutting parameters; surface roughness; Taguchi method
Hrčak ID:
239083
URI
Datum izdavanja:
14.6.2020.
Posjeta: 2.099 *