Special Issue Article
Optimization of Cutting Parameters in Machining of Polyphenylene Sulphide Composites
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Surface finish is one of the prime requirements of customers for machined parts. In most of machining operations the main objective is optimization of surface roughness. The higher value of surface roughness generates on the machining parts and due to rework or scrap results into increase in cost and loss productivity. Surface roughness is major factor in modern CNC turning industry. The purpose of this work is focused on the analysis of optimum cutting conditions to get lowest surface roughness in turning by regression analysis. To investigate the effect of cutting parameter like spindle speed, feed rate and depth of cut on surface finish on Polyphenylene sulphide with 40% glass fiber (PPS),the experiments have been conducted using L9 orthogonal array in Minitab 16.0 software. Machining was done using diamond insert and measured the surface roughness by using Surfcom 130A.Multiple regression modeling was performed to predict the surface roughness by using machining parameter. Comparison between experimental values and predict values is carried out. The objective was to establish relation between cutting speed, feed rate and depth of cut and optimize the turning conditions based on surface roughness. These correlations are obtained by multiple regression analysis.