Investigation and eva‎luation of micromechanical simulation models of the behavior of polymer composites with random distribution of fillers

6/12/2024 12:00:00 AM

So far, researchers have presented various methods for modeling and numerical simulation of fiber composites on the micro-scale. Therefore, many researchers prefer to use the representative volume elements (RVE) in their modeling. This RVE must have the same mechanical properties as the original composites on a macro scale. It is clear that the biggest RVE is physically closer to real conditions, but it encounters a huge amount of numerical calculations. On the other hand, the small selection of the representative volume element would also remove it from reality. In simulations carried out by researchers, the important topic of selecting representative volume dimensions is discussed. While choosing the appropriate dimensions of this RVE is the first step in a correct simulation. The primary purpose of this research is to find the best dimensions of the RVE of short fiber-reinforced composites by using the finite element simulation. In this regard, several RVEs, including some aligned short fibers with random distribution in a polymer matrix have been constructed. In these models, the effects of some parameters such as the aspect ratio of RVE, and volume fraction of the short fibers on the elastic modulus of the composite in dimension of longitudinal and transverse were studied to find the optimum size of RVE. Then, by the simulation of analytical micro-mechanical models, the behavior of polymer composites with random aligned short fiber distributed is compared with finite element method. This eva‎luation was performed in two parts for a high volume fraction (high volume fraction) and a low volume fraction for different aspect ratio .The results show that since in most cases, the aspect ratio of nanoparticles is high , in the range of high aspect ratios, the most appropriate model to predict the properties of nanocomposites is cox model .Also in the low range of volume fractions, the Halpin-tsai and Nielson model have the highest accuracy for predicting the properties of nanocomposites.

جزء حجم معرف , مدول يانگ , حل اجزاء محدود , روش‌هاي تحليلي

Representative Volume Element , Young Modulus , Finite Element Method , Closed Form Solution

Ali Dianati

Mahmood Mehrdad Shokrieh