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Investigation of 2-aminoethanethiol as corrosion inhibitor for steel using response surface methodology (RSM)

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Abstract

The inhibition efficiency of 2-aminoethanethiol (2-AEE) has been investigated against steel corrosion in 0.1 M HCl solution. The effect of temperature, pH, and concentration were studied with the help of potentiodynamic measurement, electrochemical impedance spectroscopy, scanning electron microscopy, and atomic absorption spectroscopy techniques. The potential of zero charge (Epzc) studies showed that the adsorption occurs via −SH group; the metal surface is positively charged in corrosive test solution. The adsorptive interaction is evaluated, and best correlation was obtained with Langmuir isotherm. 2-AEE was shown to have significant inhibition efficiency against steel corrosion. The response surface methodology was employed to explain the relation between pH, inhibitor concentration, and the efficiency. The regression analysis was realized for development of an equation between independent variables and the output. The success of fitting model was tested with basic statistical arguments, residual and variance analysis, T and F tests, and R 2 value. The statistical evaluations showed that the obtained polynomial equation can be successfully used for optimization of applications involving the use of 2-AEE as inhibitor.

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Acknowledgment

The authors are grateful for the helpful comments and careful corrections about RSM made by Hakan Karaçizmeli and Meryem Ünal Top from BOSSA Denim Company, Turkey.

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Authors and Affiliations

  1. Mechanical Engineering, Ceyhan Engineering Faculty, Çukurova University, 01960, Adana, Turkey

    Gözde Tansuğ

  2. Chemistry Department, Faculty of Science and Letters, Çukurova University, 01330, Adana, Turkey

    Tunç Tüken, Nur Kıcır & Mehmet Erbil

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  1. Gözde Tansuğ
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  2. Tunç Tüken
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  3. Nur Kıcır
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  4. Mehmet Erbil
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Correspondence to Gözde Tansuğ.

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Tansuğ, G., Tüken, T., Kıcır, N. et al. Investigation of 2-aminoethanethiol as corrosion inhibitor for steel using response surface methodology (RSM). Ionics 20, 287–294 (2014). https://doi.org/10.1007/s11581-013-0966-2

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  • DOI: https://doi.org/10.1007/s11581-013-0966-2

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