Abstract
In this study, a multilayered AlCrN coating has been employed as a protective layer for steel used in tribo-corrosive conditions. The coating was deposited by a lateral rotating cathode arc PVD technology on a AISI 316L stainless steel substrate. A ratio of Al/(Al + Cr) was varied from 0.5 up to 0.6 in the AlCrN layer located above Cr adhesion and gradient CrN interlayers. A Raman spectroscopy and potentiodynamic polarization scan were used to determine the resistance in tribo-corrosive (3.5 wt % NaCl) conditions. Correlation between sliding contact surface chemistry and measured tribological properties of material was supported with static corrosion experiments. The corrosion mechanisms responsible for surface degradation are reported.
Highlights
One of the problems in the industrial application of moving bodies concerns the mechanical interaction between sliding surfaces and surface chemical reactions or corrosion occurring in reactive environments such as an aqueous media
About 1.2 times lower icorr was measured as compared to the AISI 316L, reaching improvement in the protective efficiency (Pi) by 15.9%
The multilayered AlCrN hard coating with the Cr adhesion and the gradient CrN interlayer was deposited on the stainless steel (SS) substrate AISI 316L in a dominating cubic CrN structure by LARC physical vapour deposited (PVD)
Summary
One of the problems in the industrial application of moving bodies concerns the mechanical interaction between sliding surfaces and surface chemical reactions or corrosion occurring in reactive environments such as an aqueous media. Corrosion resistance is one of the most important factors to be taken into consideration for manufacturing metal products, as the formation of rust can have a devastating impact on the performance. Protection of the metal surfaces with physical vapour deposited coatings is a widely used technique. It could be assumed that such treatment will be even more relevant in future due to boosting of 3D metal printing technologies (additive manufacturing) [2]. Reliable lifetime prediction for a component used in an aqueous corrosive environment requires the identification of corrosion failure modes. Such failure modes can be pitting (if halide ions are present), stress-corrosion caused cracking by hydrogen embrittlement and corrosion fatigue [3]
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