Corrosion Behaviours of Carbon Steels Coated by Graphene Epoxy in Different Solutions
Keywords:
Graphene, epoxy, carbon steel, corrosion inhibitionAbstract
Corrosion of carbon steel pipelines is a significant challenge in industrial applications, particularly in acidic and saline environments. This study investigates the corrosion resistance of ASTM A53 Grade B carbon steel coated with a graphene-epoxy composite. A 2%-wt graphene-epoxy coating was applied to the substrates using the bath method. Corrosion performance was assessed through potentiodynamic polarization in CH₃COOH 0.1 M, H₂SO₄ 0.1 M, HCl 0.1 M, and NaCl 3.5% solutions at room temperature. Scanning Electron Microscopy (SEM) analysis provided insights into coating thickness and elemental distribution. Results indicate significant improvements in corrosion resistance, with inhibition efficiencies exceeding 97% in HCl and H₂SO₄ solutions. A notable reduction in corrosion rate and current density was observed across all coated samples, with the graphene-epoxy layer forming a robust barrier against aggressive ions. SEM analysis revealed uniform graphene dispersion within the epoxy matrix and a consistent coating thickness of ±149.9 µm, supporting the enhanced corrosion resistance. However, the coatings exhibited reduced efficacy in CH₃COOH, attributed to potential degradation of the epoxy matrix in organic acid conditions. These results demonstrate the potential of graphene-epoxy coatings as potent anticorrosion agents for a variety of industrial applications, especially those that are acidic and chloride-rich. Future research should focus on optimizing formulations for organic acids to expand the applicability of this technology.
Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Integrated Engineering

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Open access licenses
Open Access is by licensing the content with a Creative Commons (CC) license.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.










