Coverage response modeling for auto base paints formulation

Abstract

Response Surface Methodology (RSM) was used to investigate the effects of binder, solvent, and pigment concentrations on the coverage response. The optimum coverage response of the auto base paint formulated was 1.5m². Statistical analysis of the results showed that the data were adequately fitted by a second-order polynomial model Analysis of variance (ANOVA) also showed that the interactions between the independent parameters (binder, solvent, and pigment) have significant effects on the response (coverage). Diagnostics case statistics indicated that, the optimum experimental value of the cover age equal that of the predicted. This showed a good relationship between the actual and predicted response as evidenced in the R² value of 0.9204 and a standard deviation of 0.1 obtained.