Parametric Optimization of Corrosion Resistance of Electroless Ni–Co–P Coating

Optimization of Pyrolysis and Selected Physicochemical Properties of Groundnut Shells, Coffee and Rice Husks for Biochar Production

“…On the other hand, response surface methodology is a set of advanced design of experiments (DOE) techniques used for optimization of processes. It refines the models after important factors have been established using screening designs or factorial designs, especially if curvature in the response surface is suspected [12]. Two main types of response surface designs can be appreciated namely: (i) Central Composite Design (can fit a full quadratic model, and is often used when the design plan calls for sequential experimentation because these designs can include information from a correctly planned factorial experiment); and (ii) Box-Behnken design (usually have fewer design points than central composite designs, thus, they are less expensive to run with the same number of factors [12].…”