A systematic review of the recent advances in superlubricity research
Q Zeng, W Zhang - Coatings, 2023 - mdpi.com
Friction and the wear caused by friction will not only lead to energy dissipation, but will also
cause damage to the function of mechanical parts, affecting the precision and lifespan of …
cause damage to the function of mechanical parts, affecting the precision and lifespan of …
Self-lubricating and wear-resistant epoxy resin coatings based on the “soft-hard” synergistic mechanism for rapid self-healing under photo-thermal conditions
Z Shan, X Jia, S Li, Y Li, J Yang, H Fan… - Chemical Engineering …, 2024 - Elsevier
Mechanical components made of alloy steel are susceptible to severe surface wear after
long periods of operation. The construction of protective coatings with high wear resistance …
long periods of operation. The construction of protective coatings with high wear resistance …
Surface modification of polytetrafluoroethylene (PTFE) fibers through methyl methacrylate (MMA) polymerization for self-lubricating composites
X Sun, L Zhang, C Yu, G Xie, Y Li, X Wu, X Li… - Applied Surface …, 2024 - Elsevier
PTFE fibers exhibit strong inertia and possess restricted interfacial compatibility with resin,
thereby constraining the application of PTFE self-lubricating composites. To address this …
thereby constraining the application of PTFE self-lubricating composites. To address this …
Microstructure-armored surface and its tribological effects on ultralow-wear PEEK/PTFE composites
Reducing interfacial energy gradient can improve the anti-wear property and even achieve
an ultralow wear performance of polyetheretherketone/polytetrafluoroethylene (PEEK/PTFE) …
an ultralow wear performance of polyetheretherketone/polytetrafluoroethylene (PEEK/PTFE) …
[HTML][HTML] Shear localization in ultralow wear of PEEK/UPE composites
Certain polytetrafluoroethylene (PTFE) composites can form a shear localization structure at
the sliding interface by developing running and transfer films, thus achieving an ultralow …
the sliding interface by developing running and transfer films, thus achieving an ultralow …
P (MMA-GMA-AM-St) as transition layer for constructing GO@ pPTFE core-shell nanoparticles as hydro-based lubricant additives towards excellent friction reduction …
S Li, Y Wu, W Zhao - Carbon, 2025 - Elsevier
Although polytetrafluoroethylene (PTFE) has attracted significant attention in the lubrication
field, it is still challenging for PTFE with low surface energy to achieve uniform dispersion in …
field, it is still challenging for PTFE with low surface energy to achieve uniform dispersion in …
Tribological mechanism based on tribo-chemistry and molecular dynamics of polyurea/polyimide shape memory copolymers at high temperature
Exploring the tribological mechanism of the shape memory polymers plays an important role
in designing intelligent lubricating materials. Here, a series of shape memory polyurea …
in designing intelligent lubricating materials. Here, a series of shape memory polyurea …
Effects of abrasive filler size and crosslinking treatment on airborne particle emissions of brake composites
Vehicle brake wear particles significantly contribute to urban airborne pollution.
Understanding the effect of abrasive fillers on the wear particle characteristics of brake …
Understanding the effect of abrasive fillers on the wear particle characteristics of brake …
Improvement of wear resistance of polyarylene ether nitrile composites through synergistic effect of PTFE and ZnO
H Shen, T Wang, X Feng, J Zhang, X Liu, L Tong - Polymer, 2024 - Elsevier
Semi-crystalline polyarylene ether nitrile (PEN) has good thermal and mechanical
properties, but its wear resistance needs to be improved, which limits its application in …
properties, but its wear resistance needs to be improved, which limits its application in …
Prediction of grease performance and optimal additive ratio based on the SSA-GDA-LSSVM model
Y Xia, H Zhao, X Feng - Tribology International, 2025 - Elsevier
In this paper, to address the issue of compounding three additives in PTFE grease, we
propose a machine learning model based on SSA-GDA-LSSVM to predict both the …
propose a machine learning model based on SSA-GDA-LSSVM to predict both the …