Optimization of Machining Parameters for Mild Steel in Dry Turning Using Taguchi Method

In present days every manufacturing industry thrives hard to produce quality products at an economical price while fulfilling the requirements of both manufacturer and the customer who happens to the end user of the product. Machining of sophisticated parts has posed a greater challenge to manufacturer. Optimization techniques like Taguchi method has been introduced and widely applied in industries in order to achieve the desiredgoals. In this analysis, an attempt is made to study the effects of machining parameters like speed, feed and depth of cut in a turning operation of mild steel by employing one of the widely used Optimization techniques which is Taguchi Method. The main input machining parameters namely Speed, Feed and Depth of cut are taken Page 7 into consideration, while the output parameter Material Removal Rate (MRR) is considered as the response variable. Taguchi method is applied and signal-to-noise ratio is calculated using L9 Orthogonal Array (OA) with the help of Minitab software. Based on the graphs from the Minitab software optimum levels of machining parameters were obtained and maximization of material removal rate (MRR) is found out and the same is checked experimentally in a machining workshop