Using Modern Statistical Methods to Predict Peak Data for Pore Size Values
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In this paper, a simple mathematical model is presented based on the changes in the pore size values of new membranes obtained from different concentrations of polymer systems PMIA/DMF/LiCl/PEG. Using modern statistical methods of organizing and planning experiments, a two-factor mathematical design is developed to predict the morphology of the membranes. The phase binodal diagrams of the PMIA/DMF/LiCl/PEG casting solutions were also studied. The physicochemical characteristics and surface morphology of the obtained new membranes were characterized using scanning probe microscopy.
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