Mechanical behavior modeling of self-reinforced polypropylene composites under varying temperatures

Aiming at the complex mechanical behavior of polypropylene self-reinforcing composites at different temperatures and the insufficient prediction accuracy of existing models, this study proposed an improved phenomenological constitutive model considering temperature dependence. The experimental results show that the strength of materials drops sharply at high temperatures ranging from 40 °C to 120 °C, while the stiffness and strength increase significantly at low temperatures ranging from −30 °C to 0 °C. Model verification shows that this model can accurately capture tensile, bending and shearing behaviors at different temperatures: the overall matching rate between the tensile curve and the experimental value reaches 98.5%, and the prediction deviation of shear performance at 20 °C is only 0.2 MPa, demonstrating excellent multi-stage temperature transition prediction ability. This research provides a reliable mechanical property prediction tool for the engineering application of this material under complex temperature conditions.

Authors

Institutions

Publication Details

Journal
Advanced Manufacturing Polymer & Composites Science
Published
2025-08-29
DOI
https://doi.org/10.1080/20550340.2025.2550108
Primary Topic
Natural Fiber Reinforced Composites
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mechanical behavior modeling of self-reinforced polypropylene composites under varying temperatures

Yingjie Xie, Wenjing Hu
Advanced Manufacturing Polymer & Composites Science
Natural Fiber Reinforced Composites
article

Mechanical behavior modeling of self-reinforced polypropylene composites under varying temperatures

Yingjie Xie, Wenjing Hu
article en

Abstract

Aiming at the complex mechanical behavior of polypropylene self-reinforcing composites at different temperatures and the insufficient prediction accuracy of existing models, this study proposed an improved phenomenological constitutive model considering temperature dependence. The experimental results show that the strength of materials drops sharply at high temperatures ranging from 40 °C to 120 °C, while the stiffness and strength increase significantly at low temperatures ranging from −30 °C to 0 °C. Model verification shows that this model can accurately capture tensile, bending and shearing behaviors at different temperatures: the overall matching rate between the tensile curve and the experimental value reaches 98.5%, and the prediction deviation of shear performance at 20 °C is only 0.2 MPa, demonstrating excellent multi-stage temperature transition prediction ability. This research provides a reliable mechanical property prediction tool for the engineering application of this material under complex temperature conditions.

Advanced Manufacturing Polymer & Composites ScienceVol. 11(1)
Dalian Ocean University (CN)
Openalex Percentile: Top 80%
Natural Fiber Reinforced Composites
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.