Application of Response Surface Methodology for Recognition of Effective Factors on Electroplating Process

Some real world problems include determining optimum values of input variables in order to obtain the desired levels of output variable (response surface variable). One of the applicable techniques which is used for modeling and solving such problems is Response SurfaceMethodology (RSM). In this paper, the effect of three controllable input factors: temperature, the density of sodium cyanid, and ampere on the determined response surface level i.e. the thickness of the electroplating cover of a hook screw is checked by Design Of Experiments (DOE). After the execution of experiments and the recognition of effective factors, according to the application of response surface methodology, the relationship between the variables of effective input factors and the response surface variable is determined with the help of nonlinear regression model. Then, the optimum value of each variable in nonlinear model is obtained by goal programming method.