Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
A Simple Model for Gas Barrier Performance of Polymer Nanocomposites Considering Filler Alignment Angle and Diffusion Direction Publisher



Zarshad S1 ; Naghib SM1 ; Zare Y2 ; Rhee KY3
Authors
Show Affiliations
Authors Affiliations
  1. 1. Nanotechnology Department, School of Advanced Technologies, Iran University of Science and Technology (IUST), P.O. Box 16846-13114, Tehran, Iran
  2. 2. Biomaterials and Tissue Engineering Research Group, Department of Interdisciplinary Technologies, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
  3. 3. Department of Mechanical Engineering (BK21 four), College of Engineering, Kyung Hee University, Yongin, South Korea

Source: Composites Science and Technology Published:2022


Abstract

The available models for predicting the barrier properties of nanocomposite films cannot present the accurate results fitting to experimental data. In this paper, we develop a new model to forecast the barrier performance of polymer nanocomposites by filler orientation angle and changes in diffusion direction after collision of gas molecules to nanoplatelets. The developed model presents the barrier properties by the length, thickness, volume fraction and orientation angle of nanoplatelets as well as the lateral distance between adjacent nanoparticles. To gain a better understanding of the accuracy of new model, the predictions of permeability by previous models are compared to the experimental data of various samples containing nanoclay and graphene. The developed model offers the highest exactness among the models. The orientation of nanofiller in the polymer medium, degree of filler dispersion in addition to the aspect ratio and volume fraction of nanofiller are the most important factors affecting the barrier performance. © 2022 Elsevier Ltd
Other Related Docs
23. From Nano to Macro in Graphene-Polymer Nanocomposites: A New Methodology for Conductivity Prediction, Colloids and Surfaces A: Physicochemical and Engineering Aspects (2024)