DESIGNING AND OPTIMIZATION OF A MOBILE CROP RESIDUE DISINTEGRATOR BY USING BOX BEHNKEN RSM METHOD

The most commonly used designs to determine response surfaces are the full and fractional factorial designs and the more complex central composite, Box–Behnken, Doehlert and mixture designs. Although the factorial designs can be used to determine simple response surfaces that are linear in all of the investigated factors, they are normally used to determine which experimental factors are the most important to investigate and which factors do not significantly affect the experimental results. The more important the interaction term, the greater is the degree of twisting the planar response surface experiences. If the linear model is not sufficient to represent the experimental data adequately, more experiments can be performed in addition to those of factorial design. The Box–Behnken and Doehlert designs can also be used to determine these kinds of response surfaces and optimize chromatographic factors such as temperature, column characteristics and flow rates. Mixture designs are used to vary proportions of mixture ingredients such as the solvent proportions of a mobile phase