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Prediction of particle-reinforced composite material properties based on an improved Halpin–Tsai model

Authors :
Shuiwen Zhu
Shunxin Wu
Yu Fu
Shuangxi Guo
Source :
AIP Advances, Vol 14, Iss 4, Pp 045339-045339-11 (2024)
Publication Year :
2024
Publisher :
AIP Publishing LLC, 2024.

Abstract

This paper introduces an improved Halpin–Tsai model to predict the mechanical, thermal, and electrical properties of silicon-carbide-reinforced polypropylene composites. The model considers the influence of porosity and corresponding silicon-carbide volume fractions and derives relationships between material property shape factors and the aspect ratio, silicon-carbide volume fraction, and porosity. The improved model’s predictions exhibit errors of 4.00% for mechanical properties, 2.13% for thermal properties, and 2.24% for electrical properties when compared to finite element analysis. This study demonstrates that the improved Halpin–Tsai model can effectively predict the properties of silicon-carbide-reinforced polypropylene composites, aiding in the design and optimization of these materials.

Subjects

Subjects :
Physics
QC1-999

Details

Language :
English
ISSN :
21583226
Volume :
14
Issue :
4
Database :
Directory of Open Access Journals
Journal :
AIP Advances
Publication Type :
Academic Journal
Accession number :
edsdoj.7fb9c3d2bb534ee9837e17bddc31ad03
Document Type :
article
Full Text :
https://doi.org/10.1063/5.0206774