A New Develop Model for Predict Micro Mechanical Properties of Composite Materials

Abstract

Different analytical and numerical models are often used to predict the elastic properties of composite materials. However, accurate predictions and quick elasticity of composite materials in micro-scale is still more of challenging. In this study, the application of different analytical models such as: Rule of Mixture, Halphin-Tsai, Chamis are presented to predict the mechanical properties of composite materials. Then, finite element analysis (FEA) is used to verify the results obtained through Square RVE and hexagonal RVE models. This study focuses on evaluating the elastic properties of composite materials with the polymer background reinforced by the fiber distributed cyclically in a certain direction at a different volume fraction of fiber. We proceed to predict the mechanical properties of materials with a volume fraction of fiber from 10% to 70% using a microscale approach. In addition, this combination also provides a convenient platform for optimizing material design and composite geometry with different algorithms to solve a variety of problems in predicting the complex mechanical properties of composite materials. Finally, a computational software was developed to quick predict and efficient the mechanical properties of this complex materials. Compared with other studies, this study shows the possibility of high application in order to predict more accurate for composite complex materials.