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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

Puni tekst: engleski, pdf (1 MB) str. 751-760 preuzimanja: 144* citiraj
APA 6th Edition
Özdemir, M. (2020). Modelling and Prediction of Effect of Machining Parameters on Surface Roughness in Turning Operations. Tehnički vjesnik, 27 (3), 751-760. https://doi.org/10.17559/TV-20190320104114
MLA 8th Edition
Özdemir, Mustafa. "Modelling and Prediction of Effect of Machining Parameters on Surface Roughness in Turning Operations." Tehnički vjesnik, vol. 27, br. 3, 2020, str. 751-760. https://doi.org/10.17559/TV-20190320104114. Citirano 30.10.2020.
Chicago 17th Edition
Özdemir, Mustafa. "Modelling and Prediction of Effect of Machining Parameters on Surface Roughness in Turning Operations." Tehnički vjesnik 27, br. 3 (2020): 751-760. https://doi.org/10.17559/TV-20190320104114
Harvard
Özdemir, M. (2020). 'Modelling and Prediction of Effect of Machining Parameters on Surface Roughness in Turning Operations', Tehnički vjesnik, 27(3), str. 751-760. https://doi.org/10.17559/TV-20190320104114
Vancouver
Özdemir M. Modelling and Prediction of Effect of Machining Parameters on Surface Roughness in Turning Operations. Tehnički vjesnik [Internet]. 2020 [pristupljeno 30.10.2020.];27(3):751-760. https://doi.org/10.17559/TV-20190320104114
IEEE
M. Özdemir, "Modelling and Prediction of Effect of Machining Parameters on Surface Roughness in Turning Operations", Tehnički vjesnik, vol.27, br. 3, str. 751-760, 2020. [Online]. https://doi.org/10.17559/TV-20190320104114

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

Posjeta: 262 *