Abstract
• Use of multiple linear regression to model the silicone paint coating. • Evaluation of selected factors on selected properties of silicone paint coatings. • Use of statistical methods in silicone paint recipe technology. This paper deals with an analysis of the simultaneous influence of the factors of the silicone coating manufacturing process, such as the contents of the organic and silicone resins used in the paint formulations, on selected physical parameters determining the quality of the coatings: hydrophobicity, resistance to wet scrubbing and the ability to diffuse water vapour through the coatings. This analysis was performed using statistical models based on multiple regression analysis. The proposed statistical models proved to be useful for the optimization of the recipe configurations for silicone coatings. Combining the analysis results enabled the selection of the optimal ranges of values for the analysed factors, from a physical as well as an economic point of view.
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