The Influence of Grinding Parameters of Talc on Water-Based Paint Properties: Application of Multivariate Regression Analysis

  • Murat Muduroglu Afyon Kocatepe University, Mining Engineering Department, Afyon, Turkey
  • Muhammed Fatih Can Afyon Kocatepe University, Mining Engineering Department, Afyon, Turkey
  • Baris Ergul Eskisehir Osmangazi University, Statistics Deparment, Eskisehir, Turkey


In this study, the influence of grinding parameters of talc sample in the conventional ballmill on water-based paint properties was investigated, and the results obtained from the experiments were statistically modeled. The regression analysis were designed to reveal the correlation between grinding parameters of the talc and the opacity and brightness of the paint with the recipes containing prepared mineral. In multivariate regression analysis, the differential grinding parameters were used to determine the change on opacity and brightness of the paint with a linear model between the change of the grinding parameters as the variables. Therefore, developed analysis includes a numerical model which could foresee the changes on final paint properties due to parameter changes (ball charge, material charge and time) in the grinding process. At the end of the experimental studies, the results indicated that the changes on brightness and opacity of a water-based paint are very dependant to the characteristics of talc mineral used as a filler in the same recipe. In other words, it was possible to foresee the changes on opacity and brightness of the paint due to changing grinding parameters of talc used as mineral filler in paint by using multivariate multiple regression analysis.


Talc, Grinding, Grinding parameters, Paint, Opacity (OP), Brightness (BR), Multivariate regression analysis (MRA), Modeling.

DOI: 10.17350/HJSE19030000165

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How to Cite
Muduroglu, M., Can, M., & Ergul, B. (2020). The Influence of Grinding Parameters of Talc on Water-Based Paint Properties: Application of Multivariate Regression Analysis. Hittite Journal of Science & Engineering, 7(1), 01-06. Retrieved from