Modelling and Prediction of Effect of Machining Parameters on Surface Roughness in Turning Operations

被引:8
|
作者
Ozdemir, Mustafa [1 ]
机构
[1] Bozok Univ, Machine & Met Technol Dept, Vocat High Sch, Erdogan Akdag Kampusu,Ataturk Yolu 7 Km, TR-66900 Yozgat, Turkey
来源
TEHNICKI VJESNIK-TECHNICAL GAZETTE | 2020年 / 27卷 / 03期
关键词
analysis of variance; cutting parameters; surface roughness; Taguchi method; CUTTING PARAMETERS; STAINLESS-STEEL; TAGUCHI METHOD; TOOL WEAR; OPTIMIZATION; METHODOLOGY; DESIGN; FORCES; REGRESSION; STRESSES;
D O I
10.17559/TV-20190320104114
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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).
引用
收藏
页码:751 / 760
页数:10
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