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Atomistic simulation and experimental verification of tribological behavior of high entropy alloy/graphene composite coatings.

Authors :
Li, Shuo
Ye, Wen-Ting
Shi, Ye-Ran
Zhou, Qing
Chen, Yong-Nan
Guo, Ting
Liu, Yu-Xin
Zhang, Lai-Chang
Wang, Hai-Feng
Source :
Surface & Coatings Technology. Aug2023, Vol. 467, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Dissatisfactory yield strength and wear have been critical issues in FCC single phase high entropy alloy (HEA) limiting wide applications as advanced engineering materials, in spite of their attractive mechanical and physical properties. Here we show by introducing graphene layer, the tribological properties of Fe 20 Ni 20 Cr 20 Co 20 Cu 20 /graphene composite coatings can be noticeably enhanced. In this work, molecular dynamics simulations were performed to probe the tribological mechanisms of HEA/graphene composite coatings. It was revealed that the reasonable choice of single-layer graphene geometry and embedding position play an important part in friction reduction and anti-wear of the coatings. The graphene interface not only cause robust dislocation blockage from HEA, but also reduces the accumulation of atoms at surface during sliding. Besides, the influence of temperature on the tribological behavior of the coatings is explored. The tribological performances of the coatings were also investigated by the experimental nanoscratch test, which are consistent with the simulation results. The present work provides a theoretical and technical support for the design of wear-resistant self-lubricating coatings, promoting the engineering applications of HEA coating materials. • HEA/graphene composite coating exhibits lower friction and better wear resistance. • The friction reduction and anti-wear mechanisms were revealed. • A novel design strategy for HEA composite coatings with excellent performance. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02578972
Volume :
467
Database :
Academic Search Index
Journal :
Surface & Coatings Technology
Publication Type :
Academic Journal
Accession number :
164857566
Full Text :
https://doi.org/10.1016/j.surfcoat.2023.129683