Issue |
E3S Web Conf.
Volume 596, 2024
International Conference on Civil, Materials, and Environment for Sustainability (ICCMES 2024)
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Article Number | 01041 | |
Number of page(s) | 7 | |
Section | Civil, Materials and Environment for Sustainability ICCMES 2024 | |
DOI | https://doi.org/10.1051/e3sconf/202459601041 | |
Published online | 22 November 2024 |
Corrosion inhibition of grapeseed oil on high carbon steel and ferrovanadium alloy in H2SO4 solution: Experimental and statistical analysis
Department of Mechanical Engineering, Covenant University, Ogun State, Nigeria
Experimental and statistical analysis of the corrosion inhibition properties of grapeseed oil (GSO) on high carbon steel (HCS) and ferrovanadium (FVA) in 0.25 M H2SO4 solution was done. Results from gravimetric analysis show GSO performed more effectively on HCS with average inhibition efficiency above 90% at all concentrations compared to FVA where the values where generally around 70% at 360 h of exposure. Inhibition efficiency results did not vary significantly with GSO concentration compared to exposure time over 360 h. Secondly, inhibition efficiency values increased with respect to exposure time from initiation. ANOVA statistical method at 95% confidence level and significance level of 0.05 shows the sources of data variation (exposure time and inhibitor concentration) has minimal influence on the inhibition performance output of GSO. This indicate they are statistically indeterminate. The inhibition data is due to factors relating to presence of phytochemical properties, organo-metallic interaction, adsorption mode and influence of corrosive species. Data from standard deviation shows GSO inhibition efficiency data varies minimally from mean inhibition values from HCS which contrast the values obtained for FVA which were significantly high. The results show greater thermodynamic stability of GSO inhibition on HCS compared to FVA. 82% of GSO inhibition data from its action on HCS are above 70% inhibition compared to 22% for FVA.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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