Research Article Open Access

Predictive Machinability of Lm25 aluminum alloy in CNC turning operation with the help of Taguchi Technique

Abstract

Machining is one of the Core operation in most of the Manufacturing firms as it consumes most of the time,material and effort .The development of any manufacturing industry lies in proper ,controlled machining environment. Hence to avoid wastage of Material and ensure in time production it is necessary to optimize the machining Process. This can be achieved through optimizing certain parameters like Speed ,feed , and depth of cut etc. The Controlled machining process can be achieved through Pre simulated study or predicting the values in a Computer environment. Predictive study of parameters ensures better machinability in a specified time without much wastage of resources. In the Present Work turning operation is carried out on LM 25 Aluminum alloy in a medium duty CNC Lathe with a multi coated carbide tool. Taguchi L9 orthogonal array method is applied for design of experiments with certain of cutting parameters ,those are a cutting speed of 1000, 1500, 2000m/min, feed rate of 0.025, 0.05, 0.075mm/rev, and cutting depth0.5, 0.75, 1mm. An attempt has been made to generate models to predict surface roughness using Taguchi technique. Anova Analysis is also performed to predict the Material removal rate and to find out the factors that influence the surface roughness.

Shakeela .K, Manu Ravuri, Gunasekhar reddy.G

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