Modelling of Corrosion Inhibition of Cucumber Plant Extracts on AISI 1007 Steel in Seawater

Y. L. Shuaib-Babata, H. K. Ibrahim, Yusuf Olanrewaju Busari, R. M. Mahamood, S. O. Abdulraman, I. O. Ambali, B. Abdulqadir, Ishaaq Na’allah Aremu, K. Ajao, S. O. Ejiko
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引用次数: 1

Abstract

Adsorption Models with the application of corrosion experimental data is a very popular mechanism to predict various inhibitive systems. The effective modelling and interpretation of adsorption isotherms reliably determine the level of accuracy of adsorption processes. This study aims to apply the adsorption models and inhibitive mechanism of Cucumber Peel Extract (CPE) and Cucumber Seed Oil (CSO) to corrosion of AISI 1007 steel grade in the saline medium using both the electrochemical (Tafel Polarisation) and non-electrochemical (Weight Loss) techniques. The chemical composition of AISI 1007 and the phytochemical properties of studied extracts were determined. Consideration was given to Langmuir and Dubinin-Radushkevich Isotherm models (D-RIM) to study the inhibitive properties of CPE and CSO on AISI 1007 steel in an aggressive medium. The result of inhibition efficiency from weight loss measurement showed maximum inhibitions of  94.44 % and 95.44 % with 1.0 g/L concentration of CPE and CSO respectively in sea water medium. The result of the studied extract at 25 ℃ in seawater showed that the corrosion current density of AISI 1007 steel decreased and increased in the inhibition efficiency with 87.33% and 94.67% for CPE and CSO respectively. The negative value of ΔGads was greater than 20 kJ/mol and was obtained as a result of electrostatic interaction between the adsorbed inhibitor molecules and the  ions/atoms on the metal surface. The studied inhibitors were confirmed to be mixed organic corrosion inhibitors type. The values of E and maximum surface coverage (θmax) for the two measurements are satisfactorily in acceptable agreement  as similar to the range of value obtained for inhibition efficiency.
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黄瓜植物提取物对AISI 1007钢在海水中的缓蚀作用模拟
结合腐蚀实验数据的吸附模型是预测各种缓蚀剂体系的常用机制。吸附等温线的有效建模和解释可靠地决定了吸附过程的精度水平。本研究旨在利用电化学(Tafel极化)和非电化学(失重)技术,研究黄瓜皮提取物(CPE)和黄瓜籽油(CSO)对AISI 1007钢在盐水介质中的吸附模型和抑制机理。测定了AISI 1007的化学成分和提取物的植物化学性质。采用Langmuir和Dubinin-Radushkevich等温线模型(D-RIM)研究了CPE和CSO在腐蚀性介质中对AISI 1007钢的抑制性能。失重率测定结果表明,在海水介质中,CPE和CSO浓度分别为1.0 g/L时,最大抑制率分别为94.44%和95.44%。25℃海水浸提液的结果表明,CPE和CSO对AISI 1007钢的缓蚀效率分别为87.33%和94.67%,腐蚀电流密度减小,缓蚀效率提高。ΔGads的负值大于20 kJ/mol,这是由于吸附的抑制剂分子与金属表面的离子/原子静电相互作用的结果。研究的缓蚀剂为混合型有机缓蚀剂。两次测量的E和最大表面覆盖率(θmax)的值与缓蚀效率的值范围相似,具有令人满意的可接受的一致性。
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