Abstract

Manufacturing or production is one of the most important sectors of any field. It involves various steps or processes to convert raw materials into finished products. With the more precise demands of modern engineering products and competition to provide good quality, the surface finish, dimensional accuracy along with metal removal rate (MRR) plays a very important role. The selection of optimum cutting conditions (depth of cut, feed and speed) is an important element of process planning for every machining operation. In order to optimize the output parameters i.e., M R R , power consumption and surface roughness, the process variables are varied. Inspite of major advancements in metal cutting practices, the metal cutting industries continues to suffer from major drawback of not running the machine tools at their optimum operating condition. Furthermore, their prediction helps in the analysis of optimization problems in machining economics, in adaptive control applications, in the formulation of simulation models used in cutting databases. In the present work full factorial

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