Application of Taguchi Technique to Optimize the Shoulder Milling Machining Parameters of Aa6063 T6 Aluminium Alloy
Keywords:
MRR: Material Removal, RateAA: Aluminium Alloy, DOC: Depth of cut, VMC: Verticle Milling Center, OA: Orthogonal Array, S/N: Signal to Noise, ANOVA: Analysis of VarianceAbstract
In order to minimize surface roughness, in this paper Taguchi technique is being used for optimizing the shoulder milling process parameters. The shoulder milling was done on VMC milling machine on AA6063 T6 by using M series solid carbide tool. There are following cutting parameters like coolant, speed, feed and depth of cut were considered and the level of these parameters were three except the coolant at two level was considered. The experiments was conducted by using L18 orthogonal array. Signal to noise ratio were calculated for finding the effects of shoulder milling parameters on surface roughness. And analysis of variance was used for finding the contribution of each parameters. The validation of experimental results was done by the confirmation test. Levels of shoulder milling machining parameters to minimize surface roughness were A1B1C2D2 i.e. coolant on with a feed of 200 mm/min, depth of cut of 0.25 mm and speed is at 5800 rpm. ANOVA table represented the parameters which mostly affected the surface roughness with 40.18% contribution of feed rate which is maximum followed by speed (21.90.%), depth of cut (16.48%), and affect of coolant 0.81%) is insignificant. The study also shows that this method can effectively improve the surface finish of the shoulder milling process.