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Prediction of particle-reinforced composite material properties based on an improved Halpin–Tsai model.
- Source :
- AIP Advances; Apr2024, Vol. 14 Issue 4, p1-11, 11p
- Publication Year :
- 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. [ABSTRACT FROM AUTHOR]
- Subjects :
- FINITE element method
MECHANICAL models
THERMAL properties
POLYPROPYLENE
Subjects
Details
- Language :
- English
- ISSN :
- 21583226
- Volume :
- 14
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- AIP Advances
- Publication Type :
- Academic Journal
- Accession number :
- 177187338
- Full Text :
- https://doi.org/10.1063/5.0206774