Enhanced corrosion resistance of atmospheric plasma-sprayed zirconia–GNP composite by graphene oxide nanoplatelet encapsulation
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Date
2020
Journal Title
Journal ISSN
Volume Title
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Springer
Abstract
The unique natural diffusion barrier property of graphene plays a crucial role in protecting the carbon steel substrates from corrosion, particularly using graphene oxide nanoplatelets (GNP)–zirconia (ZrO<inf>2</inf>) composites. In the present work, atmospheric plasma spraying (APS) technique has been used to coat both the spray-dried pristine ZrO<inf>2</inf> and ZrO<inf>2</inf>–(0.5, 1.0, 1.5 and 2) wt% GNP composite on the carbon steel substrate. The retention of GNPs in the coating was confirmed using XRD, Raman spectroscopy, TEM, FE-SEM, and EDAX techniques. The corrosion properties of the coatings in 3.5 wt%NaCl electrolyte were studied using linear polarization resistance and electrochemical impedance spectroscopy technique. This reveals the enhanced charge transfer resistance, decreased corrosion current density and corrosion rate of ZrO<inf>2</inf>–GNP composite. Further, the corrosion rate of ZrO<inf>2</inf>–2 wt% GNP coating is 130 times less than the plasma-sprayed ZrO<inf>2</inf>. Compared to 0.5, 1.0 and 1.5 wt% GNP added zirconia coatings, ZrO<inf>2</inf>–2 wt% GNP displayed the highest stability up to 14 days in 3.5% NaCl electrolyte. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
Description
Keywords
Atmospheric corrosion, Charge transfer, Corrosion rate, Corrosion resistance, Corrosive effects, Diffusion barriers, Electrochemical corrosion, Electrochemical impedance spectroscopy, Electrolytes, Graphene, Plasma jets, Plasma spraying, Sodium chloride, Steel corrosion, Substrates, Zirconia, Atmospheric plasma spraying, Atmospheric plasmas, Carbon steel substrates, Charge transfer resistance, Corrosion current densities, Electrochemical impedance spectroscopy techniques, Linear polarization resistance, Natural diffusions, Corrosion resistant coatings
Citation
Applied Physics A: Materials Science and Processing, 2020, 126, 8, pp. -
