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

https://hrcak.srce.hr/239083

Datum izdavanja:

14.6.2020.

Posjeta: 1.510 *