Experimental and Theoretical Investigation of the Physical Properties of new Composite Materials

International Conference on Materials Engineering and Science

Almtori, Safaa A. S.^1

Materials Engineering Department, Collage of Engineering, University of Basrah, Iraq^1

关键词: Adaptive neuro fuzzy inference systems (ANFIS);    Composite samples;    Fuzzy Logic Toolbox;    Lee's disk;    Neuro-Fuzzy model;    Theoretical investigations;    Theoretical study;    Thermal insulation materials;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/454/1/012098/pdf
DOI  :  10.1088/1757-899X/454/1/012098

来源: IOP

【 摘 要 】

The Experimental and theoretical investigation of the physical properties of new composite materials were studied by conjugating two materials. One of them is the strong virgin polymer (Commercial HDPE powder) high density polyethylene and the other is the scrap of tire tubes polyisobutylene. By application thermal insulation materials and introducing them to the building market during the last decades can give the same thermal resistance a thinner construction using. The preparation of specimens from a composite of high-density polyethylene and the scrap of tire tubes [3x5] mm with different weight ratios from 0 % to 55% were adapted. Both of mechanical and thermal conductivity to measure and estimate the modulus of elasticity, shore hardness, impact strength and thermal conductivity for the various prepared polymeric specimens. The optimum thermal insulation was obtained with 40% weight of the scrap of tire tubes and 60% HDPE, the optimum thermal conductivity showed a value of 0.078 W/m. K which is less than the other composite samples. In addition, the theoretical study by the neuro fuzzy models are developed to predict the physical properties (elastic modulus, thermal conductivity, shore hardness and impact strength) of the composite materials using fuzzy logic toolbox in the Matlab version 7.10. Different membership functions and adaptive neuro fuzzy inference systems (ANFIS) are used in these models. The selected input variables used in the proposed models include HDPE and the scrap of tire tubes. During the test of neuro fuzzy model good agreements and observed.