The assessment of the grinding process quality depends on the amount or quantities of the components used. The present work comprises of optimizing different parameters like time of grinding (t), speed of the ball mill (n), size of balls (Bs), feed quantity (Q), size of feed (Fs) and quantity of additive (Q). The breakage function (k) was correlated with variables of grinding for both the cases of with and without additive. Plackett Burman response surface design was used for determining the regression coefficients and optimum operating parameters for minimizing the power consumption.