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IIJME:Volume 2, Issue 7, July 2014


A Design of Experiment Approach to Compare the Machining Performance of CNC End Milling
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ABSTRACT The surface roughness is a very significant indicator of surface quality. It represents an essential exploitation requirement and influences technological time and costs, i.e. productivity. The objective of this paper is to compare the surface roughness of the two materials and to analyze the influence of end milling cutting parameters (number of revolution, feed rate and depth of cut) on the surface roughness of Aluminum alloys. In order to improve the quality and productivity the present study highlights the optimization of CNC end milling process parameters to provide good surface finish. The surface finish has been identified as one of the main quality attribute and is directly related to the productivity of a machine. In this paper an attempt has been made to optimize the process such that the best surface roughness value can be obtained in a process. Principal component analysis (PCA) and grey relational analysis are used to predict the surface roughness in end milling operation to analyse the pre measured test data. These applications can simulate the end milling process and surface roughness Ra (μm) prediction graphs against cutting conditions simultaneously. Keywords: ANOVA, Grey Relational Analysis, End Milling, Surface Roughness.
Cite this article:
SANJEEV KUMAR PAL, RAHUL DAVIS , " A Design of Experiment Approach to Compare the Machining Performance of CNC End Milling" , IPASJ INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING (IIJME) , Volume 2, Issue 7, July 2014 , pp. 034-044 , ISSN 2321-6441.
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