MD exploration on the mechanical, thermal and tribological properties of PTFE reinforced by CuO, ZrO2 and SiO2 nanoparticles

Purpose The purpose of this paper is to investigate the effect of 3 wt.% copper oxide (CuO), zirconium dioxide (ZrO2) and silicon dioxide (SiO2) nanoparticles on the mechanical, thermal and tribological properties of polytetrafluoroethylene (PTFE) composites from an atomic level. Design/methodology/approach Effects of CuO, ZrO2 and SiO2 on the mechanical, thermal and tribological properties of PTFE were studied by molecular dynamics (MD) simulations to explore the inherent mechanisms from an atomic level. Cu/polymer/Cu sandwich models were sheared for friction function. Findings Among the three nanoparticles, 3 wt.% ZrO2 has the best enhancing effect on the mechanical and thermal properties of PTFE, with the Young’s modulus and shear modulus increasing by 376.3% and 197.1%, respectively. And ZrO2/PTFE has the best compressive resistance. It is 61.37% higher than pure PTFE. ZrO2/PTFE has the highest glass transition temperature. It is 43 K higher than pure PTFE. Also, 3 wt.% CuO/PTFE can effectively reduce the friction coefficient of PTFE by 68.7%. The increase in glass transition temperature and mechanical properties reduces the coefficient of friction, as stronger nanoparticle adsorption weakens their interaction with the frictional interface. Originality/value This study reveals the mechanism of CuO, ZrO2 and SiO2 on the mechanical, thermal and tribological behavior of PTFE by MD simulation. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2025-0276/

Authors

Institutions

Publication Details

Journal
Industrial Lubrication and Tribology
Published
2025-11-10
DOI
https://doi.org/10.1108/ilt-06-2025-0276
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

MD exploration on the mechanical, thermal and tribological properties of PTFE reinforced by CuO, ZrO2 and SiO2 nanoparticles

Yiling Pan, Tianqiang Yin, Gai Zhao, Jingfu Song et al.
Industrial Lubrication and Tribology
Tribology and Wear Analysis
article

MD exploration on the mechanical, thermal and tribological properties of PTFE reinforced by CuO, ZrO2 and SiO2 nanoparticles

Yiling Pan, Tianqiang Yin, Gai Zhao, Jingfu Song, Qingjun Ding
article en

Abstract

Purpose The purpose of this paper is to investigate the effect of 3 wt.% copper oxide (CuO), zirconium dioxide (ZrO2) and silicon dioxide (SiO2) nanoparticles on the mechanical, thermal and tribological properties of polytetrafluoroethylene (PTFE) composites from an atomic level. Design/methodology/approach Effects of CuO, ZrO2 and SiO2 on the mechanical, thermal and tribological properties of PTFE were studied by molecular dynamics (MD) simulations to explore the inherent mechanisms from an atomic level. Cu/polymer/Cu sandwich models were sheared for friction function. Findings Among the three nanoparticles, 3 wt.% ZrO2 has the best enhancing effect on the mechanical and thermal properties of PTFE, with the Young’s modulus and shear modulus increasing by 376.3% and 197.1%, respectively. And ZrO2/PTFE has the best compressive resistance. It is 61.37% higher than pure PTFE. ZrO2/PTFE has the highest glass transition temperature. It is 43 K higher than pure PTFE. Also, 3 wt.% CuO/PTFE can effectively reduce the friction coefficient of PTFE by 68.7%. The increase in glass transition temperature and mechanical properties reduces the coefficient of friction, as stronger nanoparticle adsorption weakens their interaction with the frictional interface. Originality/value This study reveals the mechanism of CuO, ZrO2 and SiO2 on the mechanical, thermal and tribological behavior of PTFE by MD simulation. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2025-0276/

Industrial Lubrication and Tribology
Jiangsu Maritime Institute (CN), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 62%
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.