Parametric Analysis and Optimization of Turning Operation by Using Taguchi Approach

Every day scientists are developing new materials and for each new material, we need economical and efficient machining. Turning process is the one of the methods to remove material from cylindrical and non-cylindrical parts. Stainless steel is a widely used material in day to day applications. This paper deals with the optimization of turning process by the effects of machining parameters applying Taguchi methods so as to improve the quality of manufactured goods, and engineering development of designs for studying variation. There are three machining parameters i.e., Spindle speed, Feed rate and Depth of cut. Experiments are done by varying one parameter and keeping other two fixed so maximum value of each parameter was obtained. Taguchi orthogonal array is designed with three levels of turning parameters with the help of software Minitab 16. In the first run nine experiments are performed and material removal rate (MRR) is calculated. When experiments are repeated in second run again MRR is calculated. Taguchi method stresses the importance of studying the response variation using the signal–to–noise (S/N) ratio, resulting in minimization of quality characteristic variation due to uncontrollable parameter. The metal removal rate was considered as the quality characteristic with the concept of "the larger-the-better. S/N ratio values are calculated by taking the help of software Minitab 16. The MRR values measured from the experiments and their optimum value for maximum material removal rate. It is also predicted that Taguchi method is a good method for optimization of various machining parameters as it reduces the number of experiments.