Papers by Keyword: Polymer Properties

Abstract: The prediction of polymer properties, based on its composition, it 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 polymers based on epoxy resin, with clay as filler, show different properties depending on the clay concentration. This paper presents an analysis of the polymer properties variation with its filler concentration. Due to the tribological processes complexity, mechanical and thermal properties must be taken into account. The aim of this 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 the composite properties.

Abstract: For getting rid trial-and-error method of polymer blending modification depends on experience, nonlinear relation of polymer ratio and its properties is obtained by Support Vector Machine and Genetic Algorithm. While the application of genetic algorithms to optimize the SVM model. Decision function in the relational model of SVM as the objective function, and optimized the value of polymer properties and its ratio by genetic algorithms. Experiments show that the method has some values.