Journal
SURFACE & COATINGS TECHNOLOGY
Volume 315, Issue -, Pages 368-376Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.surfcoat.2017.02.068
Keywords
High-entropy alloy; Laser surface alloying; Constituent phase; Wear; Corrosion
Funding
- National Key Research and Development Program of China [2016YFB1100204, 2013ZX06002-002]
- National Natural Science Foundation of China [51271126]
- Shenyang Science and Technology Bureau [F16-032-0-00]
Ask authors/readers for more resources
FeCoCrAlCuNix (x = 0.5, 1, 1.5) high-entropy alloy (HEA) coatings were prepared on commercially pure copper (cp Cu) by laser surface alloying of Cu with Fe-Co-Cr-Al-Ni-x powder, aiming at improving wear and corrosion resistance. Constituent phases, microstructure, hardness, wear and corrosion resistance of the coatings were investigated using XRD, SEM, microhardness tester, friction-wear tester and potentiodynamic polarization measurements, respectively. Results showed that with appropriate laser processing parameters, crack- and porosity-free FeCoCrAlCuNix HEA coatings were obtained. The crystal structures of FeCoCrAlCuNix coatings evolved from BCC + FCC1 + ordered FCC2 structures for x = 0.5 and x = 1 to FCC1 + ordered FCC2 structures for x = 1.5. The two FCC phases possessed nearly the same lattice parameters of 3.60 angstrom. The ordered FCC2 phase which was deviated from the definition of HEA was enriched in Fe-Ni. The FCC1 and BCC phases agreed well with the definition of HEA. The phase formation rules of FeCoCrAlCuNix coatings indicated that besides Omega and delta parameters, solidification temperature T-s must be considered, instead of melting point as suggested previously. The microhardness of FeCoCrAlCuNix coatings decreased obviously from 636 HV to 522 HV with the addition of Ni element, which was at least 6.6 times that of cp Cu substrate (78 HV). Both the wear and corrosion resistance of FeCoCrAlCuNix coatings were significantly improved. FeCoCrAlCuNi1 coating exhibited the highest resistance to wear and corrosion among the tested samples in this study. (C) 2017 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available