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Prediction of a polymer properties, based on its composition, is a complex problem with no easy method to obtain directly and accurately results. Among the tribological properties, the friction coefficient and wear rate are the most interesting ones. The epoxy resin based polymers, with clay as filler, shows different properties following the clay concentration. This paper presents an analysis of the properties variation with filler concentration, for a polymer. Due to tribological processes complexity, mechanical and thermal properties must be taken into account. The aim of the study is to find an optimal concentration value, with minimal influence on polymer properties. All value properties will be used in a neural network model in order to optimize and predict composite properties.
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Roman et al. (2015) studied this question.
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