The modern machining industries is mainly focused on achieving high quality, in terms of part/component accuracy, surface finish, high production rate and increase the product life with lesser environmental impact. We have so much of manufacturing methods in industries and they are Milling, Welding, Forging, Machining, Casting, Drilling, and Turning methods. The method will be selected based on the Manufacturing cost, Productivity time, and other factors. Turning is one of the processes for removal of material in the form of chips manner from the specimen. Many of the authors surveyed is that in turning process the main affecting parameters is machining time. The selection of optimal cutting parameters is a very important issue for every machining process in order to improve the quality of machining products and reduce the machining costs. This project work investigates the effects of cutting parameters like spindle speed, feed and depth of cut on material removal rate in turning on DELRIN material. The experiment is carried out on CNC machine. The Response Surface Methodology(RSM) is used as the optimisation technique. In RSM box behnken method is used. L17 Orthogonal array is used to formulate the experimental layout .Genetic Algorithm(GA) is used to find out the optimum cutting conditions.
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