A Mussel‐Inspired Polymer‐Network Tribofilms Deliver Oil‐Based Macroscale Superlubricity on Engineering Steel

Superlubricity (friction coefficient (COF) ≤ 0.01) offers a promising solution to mitigate the global challenges of friction-induced energy consumption and material wear. Despite recent advances, developing oil-based (non-aqueous) superlubricity systems remain highly challenging, particularly on metallic surfaces. Herein, inspired by mussel adhesive chemistry, we report a novel strategy utilizing the molecular self-assembly concept to actively construct a tribofilm with ultralow shear resistance, enabling robust oil-based superlubricity. By incorporating dopamine (DA) as a functional block into an ethylene glycol (EG) lubricant, this system demonstrates an ultralow COF (< 0.01) and an extremely low wear rate (1.9 × 10<sup>-17</sup> m<sup>3</sup>N<sup>-1</sup>m<sup>-1</sup>) on the boronized steel throughout a 6-h (216 000 cycles) durability test. From an atomic perspective, DA molecules play a dual role at the sliding interface: i) undergoing self-polymerization and capturing EG molecules to form a network-like carbonaceous tribolayer, and ii) forming strong chemical bonds with the substrate to securely anchor the tribolayer. This tribolayer exhibits low interfacial adhesion, only 20% of that observed with pure EG lubrication, significantly reducing shear strength and energy dissipation, ultimately facilitating superlubricity. This study translates the molecular self-assembly concept into a broadly applicable tribological solution, opening new avenues for developing next-generation, high-performance superlubricity materials.

Authors

Institutions

Publication Details

Journal
Small
Published
2025-12-30
DOI
https://doi.org/10.1002/smll.202511347
Primary Topic
Lubricants and Their Additives
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Mussel‐Inspired Polymer‐Network Tribofilms Deliver Oil‐Based Macroscale Superlubricity on Engineering Steel

Shaochong Yin, Hongxing Wu, Zhiyuan Huang, Junqin Shi et al.
Small
Lubricants and Their Additives
article

A Mussel‐Inspired Polymer‐Network Tribofilms Deliver Oil‐Based Macroscale Superlubricity on Engineering Steel

Shaochong Yin, Hongxing Wu, Zhiyuan Huang, Junqin Shi, Haifeng Wang, Yufei Jia, Feng Zhou, Hang Li
article en

Abstract

Superlubricity (friction coefficient (COF) ≤ 0.01) offers a promising solution to mitigate the global challenges of friction-induced energy consumption and material wear. Despite recent advances, developing oil-based (non-aqueous) superlubricity systems remain highly challenging, particularly on metallic surfaces. Herein, inspired by mussel adhesive chemistry, we report a novel strategy utilizing the molecular self-assembly concept to actively construct a tribofilm with ultralow shear resistance, enabling robust oil-based superlubricity. By incorporating dopamine (DA) as a functional block into an ethylene glycol (EG) lubricant, this system demonstrates an ultralow COF (< 0.01) and an extremely low wear rate (1.9 × 10<sup>-17</sup> m<sup>3</sup>N<sup>-1</sup>m<sup>-1</sup>) on the boronized steel throughout a 6-h (216 000 cycles) durability test. From an atomic perspective, DA molecules play a dual role at the sliding interface: i) undergoing self-polymerization and capturing EG molecules to form a network-like carbonaceous tribolayer, and ii) forming strong chemical bonds with the substrate to securely anchor the tribolayer. This tribolayer exhibits low interfacial adhesion, only 20% of that observed with pure EG lubrication, significantly reducing shear strength and energy dissipation, ultimately facilitating superlubricity. This study translates the molecular self-assembly concept into a broadly applicable tribological solution, opening new avenues for developing next-generation, high-performance superlubricity materials.

SmallVol. 22(11)
Northwestern Polytechnical University (CN), Lanzhou Institute of Chemical Physics (CN)
Affordable and clean energy
Openalex Percentile: Top 43%
Lubricants and Their Additives
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.

A Mussel‐Inspired Polymer‐Network Tribofilms Deliver Oil‐Based Macroscale Superlubricity on Engineering Steel — Shaochong Yin, Hongxing Wu, et al. · Small (2025) | TGRS Research Map | TGRS