Optimization of Process Parameters using Taguchi Method Coupled with Desirability Function Analysis (DFA)

In present days the manufacturers are facing the challenges in attaining the high productivity, quality and overall economy in the field of manufacturing by machining. Among all the machining processes available drilling is a major and common hole making process and it uses the drill bits to cut or enlarge the holes in solid materials such as wood or metal. The present work is to investigate the effect of the drilling process parameters on the multiple responses of Volume of material removal rate (VMRR) and surface roughness (Ra). A series of experiments were carried out on AA6082 material using carbide twisted drills on CNC machine. Speed, feed, depth of cut and drill sizes are considered as the process parameters and taguchi’s standard L16 orthogonal array (OA) has been followed for conducting the experiments. The optimal setting of process parameters was done by employing taguchi method coupled with the desirability function analysis (DFA) and analysis of variance (ANOVA) methods. From the results, it is concluded that speed is the most influencing factor for the combined desirability index value. The optimal combination of process parameters for multi-response value is obtained at speed of 2000 rpm, feed of 400 mm/min, depth of cut of 12 mm and drill size of 13mm.