Simultaneously Enhancing the Processability and Wear Resistance of <scp>UHMWPE</scp> Through Tiny Graphene Dispersion

ABSTRACT The entanglement degree of ultra‐high molecular weight polyethylene (UHMWPE) exhibits an inverse correlation with its rheological properties and wear resistance, creating a fundamental challenge in simultaneously enhancing melt processability while preserving superior anti‐wear performance. The fabrication of polymer nanocomposites with reasonable structure is expected to solve this intractable problem. Graphene has excellent wear resistance and can reduce the viscosity of polymers. Therefore, we prepared a series of UHMWPE/Graphene composites in this paper. The effects of graphene on the microstructure, rheological behavior, crystallization behavior, and wear resistance of UHMWPE were investigated by transmission electron microscopy, small‐angle x‐ray scattering, dynamic mechanical analysis, and differential scanning calorimeter characterization methods, and hence the rheological and wear mechanisms of the composites were analyzed. The results show the optimized composite with 0.4 wt% graphene demonstrates remarkable performance synergies: a 68% reduction in complex viscosity and a 4.5‐fold enhancement in wear resistance (the specific wear rate decreased from 2.45 × 10 −4 to 0.56 × 10 −4 mm 3 /N m). This work establishes a materials design paradigm for overcoming the intrinsic property trade‐offs in UHMWPE, particularly relevant for applications demanding both processability and durability.

Authors

Institutions

Publication Details

Journal
Journal of Applied Polymer Science
Published
2025-10-22
DOI
https://doi.org/10.1002/app.58148
Primary Topic
Tribology and Wear Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simultaneously Enhancing the Processability and Wear Resistance of UHMWPE Through Tiny Graphene Dispersion

Zhichao Yang, Yu Tian, Yang Sui, Peng Wei et al.
Journal of Applied Polymer Science
Tribology and Wear Analysis
article

Simultaneously Enhancing the Processability and Wear Resistance of UHMWPE Through Tiny Graphene Dispersion

Zhichao Yang, Yu Tian, Yang Sui, Peng Wei, Qiong Zhou, Chuanbo Cong, Pengpeng Bai, Xiaoyu Meng, Kunhang Yan
article en

Abstract

ABSTRACT The entanglement degree of ultra‐high molecular weight polyethylene (UHMWPE) exhibits an inverse correlation with its rheological properties and wear resistance, creating a fundamental challenge in simultaneously enhancing melt processability while preserving superior anti‐wear performance. The fabrication of polymer nanocomposites with reasonable structure is expected to solve this intractable problem. Graphene has excellent wear resistance and can reduce the viscosity of polymers. Therefore, we prepared a series of UHMWPE/Graphene composites in this paper. The effects of graphene on the microstructure, rheological behavior, crystallization behavior, and wear resistance of UHMWPE were investigated by transmission electron microscopy, small‐angle x‐ray scattering, dynamic mechanical analysis, and differential scanning calorimeter characterization methods, and hence the rheological and wear mechanisms of the composites were analyzed. The results show the optimized composite with 0.4 wt% graphene demonstrates remarkable performance synergies: a 68% reduction in complex viscosity and a 4.5‐fold enhancement in wear resistance (the specific wear rate decreased from 2.45 × 10 −4 to 0.56 × 10 −4 mm 3 /N m). This work establishes a materials design paradigm for overcoming the intrinsic property trade‐offs in UHMWPE, particularly relevant for applications demanding both processability and durability.

Journal of Applied Polymer ScienceVol. 143(5)
China University of Petroleum, Beijing (CN), Beijing Chemical Industry Research Institute (China) (CN), Tsinghua University (CN)
Openalex Percentile: Top 65%
Tribology and Wear Analysis
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.