Title of article
TAGUCHI BASED OPTIMIZATION OF MACHINING PARAMETERS TO CONTOL SURFACE ROUGHNESS USING TiAlN-COATED TUNGSTEN CARBIDE MILLING CUTTER
Author/Authors
Ishfaq, K. University of Engineering and Technology, Lahore - Department of Industrial and Manufacturing Engineering, Pakistan , Naveed, R. University of Engineering and Technology, Lahore - Department of Industrial and Manufacturing Engineering, Pakistan , Khan, S. A. University of Engineering and Technology, Lahore - Department of Industrial and Manufacturing Engineering, Pakistan , Hussain, A. University of Engineering and Technology, Lahore - Department of Industrial and Manufacturing Engineering, Pakistan , Noor, F. University of Engineering and Technology, Lahore - Department of Mechanical Engineering, Pakistan
From page
19
To page
28
Abstract
Surface roughness is one of the determinant factors that govern the quality of machined surfaces. This paper experimentally studies effect of machining parameters on surface roughness (R ) for end milling of AISI 1045 workpiece using a TiAlN coated carbide milling a cutter. Taguchi optimization method has been used to determine the optimal level of three control factors, namely, feed rate, spindle speed and depth of cut. Analysis of variance (ANOVA) demonstrates that the feed rate is the most significant parameter and contributes 47% for surface roughness. Finally, the contour plots of these three parameters have been analysed to determine the optimal ranges of control factors.
Keywords
Surface Roughness , TiAlN Coated End Mill , Taguchi Optimization Method , ANOVA
Journal title
Journal of Faculty of Engineering and technology (JFET)
Journal title
Journal of Faculty of Engineering and technology (JFET)
Record number
2586415
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