Abstract

Sharda Pratap Shrivas1, Giriraj Garhewal2, Nitin Nayak1

ABSTRACT

Basically, this optimization procedure, whenever carried out, involves partial differentiation for the minimization of the unit cost, maximization of production rate or maximization of profit rate. It has long been recognized that conditions during cutting, such as feed rate, cutting speed and depth of cut, should be selected to optimize the economics of machining operations as assessed by productivity, total manufacturing cost per component or some other suitable criterion. These quality features are highly correlated and are expected to be influenced directly or indirectly by the direct effect of process parameters or their interactive effects create multi-objective problems. To predict this problem we take the sixteen combinations of milling machining operation. In view of the fact, that traditional Taguchi method cannot solve a multi-objective optimization problem; to overcome this limitation grey relational theory has been coupled with Taguchi method. This problem can be solved by extended Taguchi’s method to convert multi objective problem into single objective problem. The developed models for different constraints have been used for the construction of an optimization programmed which can be used to obtain optimum cutting speeds, feed rates, axial depth of cut and radial depth of cut under different constraints.