Optimization of Performance Characteristics of Rail Wheel Profiling using Taguchi with ANOVA

Gaurav Tyagi

doi:10.3759/ttea.v2i1.2799

Abstract

Optimization is the process or technique to approach the best output goal, which is necessary, that the production of the industries at the best quality in minimum total input cost and maximize the profit. So there are many optimization methods, one of them is Taguchi method. The outline of the paper, the optimization approach based on Taguchi method, which is to optimize the cutting parameter in under grounded CNC Turning machine while machining coated carbide cutting tool is used for rail wheel profiled. The technique applied on the L27orthogonal array (OA) is engaged to analyze the effect of these underground CNC Turning machine parameters. The inputs in process consist of SS (spindle speed), DOC (depth of cut) and FR (feed rate) while the output of process is Material removal rate (MRR) and surface roughness (SR) of the work piece (Cast Steel) of machine, for finding the optimal value of the parameter of CNC Turning machine. The confirmation experiments were carried out for the best output. The machining constraint was optimized for achieving the objectives of higher material removal rate and lower surface roughness. The result shows that Taguchi is being effective procedure to optimize the machining parameter.