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Research Article | Open Access

Tribology of the integrated texture-adhesive-microparticle-fiber surface

Kai Feng1Jing Ni2( )Yueru Zhang3Haohan Zhang2
School of Mechanical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing 100083, China
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Abstract

A sustainable method is proposed to improve the friction reduction and wear resistance of high-hardness surfaces, which provides a useful reference for cutting tools. Nylon fibers were implanted in a meshed texture containing microparticles (Fe3O4) on the high-speed steel (HSS) surface using the electrostatic flocking method. The pulsed magnetic field treatment was then applied to the flocking surface, which is highly efficient and environmentally friendly. The tribology of an integrated texture-adhesive-microparticle-fiber HSS surface under Fe3O4 nanofluid was investigated. The coefficient of friction (COF) and the wear state of three surfaces (smooth, textured, and flocking) were compared by reciprocal friction and wear testing. The results revealed that the nylon fibers on the flocking surface alleviate the derived cutting of the textured edges, and the broken fibers form a lubricating film in the contact area between the steel ball and the specimen, which reduces the COF by 18.1%. The pulsed magnetic field treatment strengthens the oxide layer on the specimen surface, attracts Fe3O4 nanoparticles to gather on the surface and form a protective film, and significantly improves the tribological properties of the surface lubricated by the Fe3O4 nanofluids, which provides a useful reference for optimizing the anti-friction surface.

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Friction
Article number: 9441180

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Cite this article:
Feng K, Ni J, Zhang Y, et al. Tribology of the integrated texture-adhesive-microparticle-fiber surface. Friction, 2026, 14(7): 9441180. https://doi.org/10.26599/FRICT.2025.9441180

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Received: 28 November 2022
Revised: 29 June 2023
Accepted: 22 December 2023
Published: 08 June 2026
© The Author(s) 2026.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, http://creativecommons.org/licenses/by/4.0/).