Multi Response Optimization of Cutting Forces in End Milling Using Response

ABSTRACT End milling is the most important milling operation due to its capability of producing complex geometric shapes with reasonable accuracy and good surface finish. This paper focuses on multiple response optimiza-tion of cutting forces in end milling operation on AlSiC metal matrix composites to get minimum forces in tangential(Fx), radial(Fy) and axial(Fz) directions using response surface methodology. Cutting forces provide the basis for surface accuracy prediction and improvement, tool wear rate, the energy consumption within the machine tool, depending on power consumption and operating time. In this work, second-order quadratic models were developed for Fx, Fy and Fz considering the spindle speed, feed rate, depth of cut and immersion angle as the cutting parameters, using central composite rotatable design. The adequacies of the models were checked using ANOVA. The developed models were used for multiple-response optimization by desirability function approach in conjunctio