Surface roughness model and parametric optimization in end milling using carbide tools: Response surface methodology and Taguchi approach
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 5
Abstract
The surface roughness prediction model for the end milling of LM25 Al/SiCp metal matrix composite was investigated in this study. This paper highlights the features of the development of a comprehensive mathematical model for correlating the interactive and higher-order influences of various machining parameters on the Surface roughness (Ra) through response surface methodology (RSM), utilizing relevant experimental data as obtained through experimentation. Experiments were conducted through the Taguchi’s Design of Experiments (DOE) in CNC milling machine using solid carbide end mill. The results indicate that the developed model is suitable for prediction of surface roughness in end milling of LM25 Al/SiCp metal matrix composites. The effect of different parameters on surface roughness was analyzed. Optimal combination of these parameters can be used in order to achieve minimum surface roughness.
Authors and Affiliations
R. Arokiadass, D. Ommurugadhasan, K. Saravanan
Keywords
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- EP ID EP20651
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