Optimization of Cutting Parameters of Machinability Aspects During Dry Turning

摘要

New research and development in the field of difficult to machine materials and high speed machining for less time manufacturing require optimization. The presented study deals with an application of Taguchi parameter and regression analysis for optimizing machining parameters during turning of AISI D3 steel alloy. L9[OA] orthogonal array with three parameters (speed, feed and depth of cut) has been used during performing experiments in dry machining condition. Machinability aspects like coefficient of friction, machining time and cutting temperature have been evaluated for optimization on S/N ratio as lower the better characteristic. Analysis of variance ANOVA is used for determining the effect of contribution in terms of percentage regarding each machining parameter with error. Predicted values have been verified by performing confirmation experimental run. The values evaluated are within error limits. Chip thickness has been measured for calculating chip compression ratio. The chips have been found continuous, long and coiled.