Abstract

Turning is one of the most important machining operation in machining processes and has gained a wide attention among researchers worldwide. But machining of soft metals like lead alloy is the less explored. A number of process parameters are involved in machining like cutting speed, feed rate, depth of cut etc. and the various response parameters are surface roughness, material removal rate, chip tool contact temperature etc. In this present work, an initiative has been made to investigate the influence of process parameters on surface roughness in turning of commercially available lead alloy. Taguchi method with L9Orthogonal array was used for the experiments. Three factors as process parameters i.e. spindle speed, feed rate and depth of cut and each factor of three levels were used in this work. Surface roughness and machining temperature are the response parameters. A procedure has developed by Taguchi method to find out the optimal combination of process parameters for minimum surface roughness and machining temperature by incorporating response table and main effect plot, normal probability plot, analysis of variance (ANOVA) and mathematical model formation by regression analysis. It is observed that the feed rate and depth of cut are most influencing parameter for surface roughness and machining temperature respectively.

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