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Data analysis of the corrosion protection performance of aminobenzene concentrations on 1070 aluminum alloy in dilute HCl solution

Loto, R. T. and Loto, C. A. and Daada, Tobi (2021) Data analysis of the corrosion protection performance of aminobenzene concentrations on 1070 aluminum alloy in dilute HCl solution. In: International Conference on Advanced Engineering and Technology, 2021, Online.

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Abstract

Gravimetric and statistical analysis was used to assess the protection performance of aminobenzene compound on 1070 aluminum alloy in 1 M HCl solution in volumetric concentrations of 2.5%, 5%, 7.5%, 10%, 12.5% and 15%. Data output shows aminobenzene performed poorly at lower concentrations (2.5% to 10% aminobenzene concentrations) with highest value of 61.3% at 10% concentration and 480 h of exposure time. However, at higher concentrations the corrosion and oxidation of the aluminium surface was effectively suppressed with peak value of 81.7% at 480 h of exposure. Aminobenzene inhibition performance was determined to be highly concentration dependent with limited variation with respect to observation time. Standard deviation data showed significant variation of protection performance data at lower aminobenzene concentrations due to variation of the protection performance data with respect to observation time and thermodynamic instability of the inhibition mechanism. At 12.5% and 15% aminobenzene concentration the standard deviation values visibly decreased due to improved inhibition performance. Data also showed that only 31.67% of the protection performance data is above 70% inhibition efficiency at margin of error of +8.32%. Data from analysis of variance shows inhibitor concentration is the only statistical relevant factor at 75.57% responsible inhibition output of aminobenzene on the aluminium alloy compared to observation time with statistical relevance value of 12.28%.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 01 Mar 2022 12:26
Last Modified: 01 Mar 2022 12:26
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/15675

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