Characterization of polymer based composite using neuro-fuzzy model

Dealing with a large quantity of waste useless tires can be considered as a big challenge nowadays. There are huge problems affected on the green world because it is non-biodegradable materials and pose a significant environmental problem. The aim of this work is to prevent the air and soil pollution that generated from burning the huge quantity of waste tires (natural and styrene-butadiene rubber) to derive fuel in cement kilns, paper mills, power plants and manufacturing hump and gymnasium floor. It is present as a valuable resource to prepare useful composite materials by mixing liner polymer of high density polyethylene with crosslink hard mulch (its area nearly 20 mm(2)) waste tires with percentage of 0, 17, 29, 38, 44, 50, 75, 85 and 90%. The average of three tests for each ratio was taken to comprise semi interpenetrating polymer network. The specimens were evaluated to determine their mechanical properties that include shore hardness, elastic modulus, Impact strength and compression strength. The results show the 85% is the best ratio due to an increasing in the mechanical properties of specimens on the other hand, theoretical estimate of the properties of composite specimens was done by using Neuro-fuzzy modelling. Observed good agreements between experimental and theoretical work was obtained. (C) 2021 Elsevier Ltd. All rights reserved.