Tailoring Tribological Properties and Corrosion Resistance of Self-Lubricating Ti-Mo-N Coatings Prepared by Arc Depositions
Ti-Mo-N coatings were deposited on GCr15 bearing steel using arc ion plating. The effect of deposition bias on the coating microstructure, mechanical properties, tribological behavior, and electrochemical corrosion resistance was systematically investigated. The coating prepared at −120 V bias showed optimal overall performance. It achieved the lowest friction coefficient (0.308) and lowest wear rate (1.99 × 10−6 mm3/N·m). The significant improvement in tribological performance is attributed to the lubricating phase formed during the friction process. XPS analysis confirmed the layered MoO3 formation within the wear scar. Deposition bias also significantly influenced the coating texture. At −120 V, the coating exhibited the strongest (111) crystal plane preferred orientation. This texture strongly correlated with performance enhancement. Regarding electrochemical corrosion, the −120 V coating displayed the lowest corrosion current density (3.62 × 10−9 A/cm2) and best corrosion resistance. Its corrosion morphology showed no obvious pitting, grooves, or other damage features. The results demonstrate the critical role of deposition bias in tailoring Ti-Mo-N coating properties. This research provides essential experimental support and a theoretical basis for designing wear- and corrosion-resistant protective coatings on bearing steel.
Authors
- Gang Liu (ORCID: https://orcid.org/0000-0001-7165-8959)
- Liyuan Xue
- Chenwei Wang (ORCID: https://orcid.org/0000-0002-2978-3526)
- Keren Zhang (ORCID: https://orcid.org/0000-0003-4215-4449)
- Jing Liu (ORCID: https://orcid.org/0009-0005-4583-2470)
Institutions
- Xi'an Shiyou University (CN)
Publication Details
- Journal
- Coatings
- Published
- 2025-08-16
- DOI
- https://doi.org/10.3390/coatings15080956
- Citations
- 1
- Primary Topic
- Metal and Thin Film Mechanics
- Type
- article
- Field-Weighted Citation Impact
- 0.86
Funders
- Natural Science Basic Research Program of Shaanxi Province