Abstract
An analytical model has been designed to predict the water permeabilities of polymeric nanocomposites. The chemical structure and concentration of the polymer, the chemical structure of the nanoparticle surface, the concentration of nanoparticles in the composite, the concentration of polar functional groups at the surface, and the nanoparticle size and shape were taken into account. The concentrations of nanoparticles and polar groups have the most profound effect on permeability. The effects of the size distribution and orientation of anisometric nanoparticles on permeability were analyzed. The calculation method is computerized and included as a special option in the CASCADE computer program (Institute of Organoelement Compounds, RAS), which allows calculation and prediction of the permeabilities of nanocomposites after the chemical structures and data on specified parameters of nanoparticles are entered into a computer.
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