CNC end milling is the most important milling operation, widely used in most of the manufacturing industries due to its capability of producing complex geometric surfaces with reasonable accuracy and surface finish along with flexibility and versatility. Proper selection of machining parameter is an important step in process planning in order to build up a bridge between quality and productivity and to achieve the same in an economic way. This paper focuses RSM for the multiple response optimizations in CNC end milling operation to get maximum material removal rate, minimum surface roughness and less force. In this work, second-order quadratic models were developed for cutting forces, surface roughness and machining time; considering the spindle speed, feed rate, depth of cut and immersion angle as the cutting parameters using central composite design. Significant parameters are found out by analysis of variance test. The developed models were used for multiple-response optimization by desirability function in conjunction with response surface methodology to determine the optimum machining parameters.
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