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Prognostic Model for Corrosion-Inhibition of Mild Steel in Hydrochloric Acid by Crushed Leaves of Voacanga Africana

Received: 2 June 2017     Accepted: 15 June 2017     Published: 26 July 2017
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Abstract

The weight-loss technique was used to study the inhibition of the corrosion of mild steel in 0.7M, 1.2M and 2.2M HCl by thoroughly crushed fresh-leaves of Voacanga Africana. The corrosion rate was observed to increase with increase in the concentration of acid. The maximum inhibition efficiency of 69.80% was obtained when thoroughly crushed leaves of Voacanga Africana was added at 15g per litre of 0.7M HCl with a corresponding decrease in corrosion rate from 2.6487mg.cm-2.h-1 to 1.3684mg.cm-2.h-1. The prediction of the corrosion rate by the artificial neural network gave a minimal error and was closer to the experimental corrosion-rate value in comparison with the prediction by multiple regression. Upon the variation of temperature between 298K and 358K, the activation energy obtained for the corrosion of mild steel in the blank solution of 0.7M HCl was 20,908.68J while the addition of Voacanga Africana’s crushed leaves at 15g per litre of 0.7M HCl increased the activation energy to 26,710.26J. The corrosion inhibition of mild steel in hydrochloric acid by the addition of the crushed plant-leaves is in agreement with the Langmuir adsorption isotherm with R2 = 0.992.

Published in International Journal of Computational and Theoretical Chemistry (Volume 5, Issue 3)
DOI 10.11648/j.ijctc.20170503.12
Page(s) 30-41
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Voacanga Africana, Crushed Plant-Leaves, Hydrochloric Acid, Artificial Neural Network, Multiple Regression, Inhibition Efficiency, Corrosion Rate, Mild Steel

References
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[2] Sharma, B. K. (2011). Industrial Chemistry [Including Chemical Engineering]. India: Krishna Press, p. 1698-1708.
[3] Chong, C. V. Y. (1981). Properties of Materials (p. 224-230). Britain: Chaucer Press.
[4] Lagrenée M., Mernari, B., Bouanis M., Traisnel M., & Bentiss F. (2002). Study of the mechanism and inhibiting efficiency of 3, 5-bis (4-methylthiophenyl)-4H-1, 2, 4-triazole on mild steel corrosion in acidic media. Corros Sci. 44, 573-588.
[5] Su, J. O, Jeongim, P., Min, J. L., So, Y. P., &Kyungho, C. (2006). Ecological hazard assessment of major veterinary benzimidazoles: Acute and chronic toxicities to aquatic microbes and invertebrates. EnvTox Chem. 25, 2221-2226.
[6] Minling, G., Wenhua, S., & Xiaoying, C. (2010). The acute toxicity of triazoles to earthworms using a simple paper contact method. 4th Intl. Conf. Bioinform. Biomed. Engg DOI 10.1109/ICBBE. 2010.5515198.
[7] Martin, M. T., Brennan, R. J., Hu, W., Ayanoglu, E., Lau, C., Ren, H., Wood, C. R., Corton, J. C., Kavlock, R. J., & Dix, D. J. (2007). Toxicogenomic study of triazole fungicides and perfluoroalkyl acids in rat livers predicts toxicity and categorizes chemicals based zon mechanism of toxicity. Toxicol Sci. 97, 595- 613.
[8] Hofmann, A., Ratsch, C., & Shultes, R. (1992). Plants of Gods: Their Sacred, Healing, and Hallucination Powers. USA: Healing Arts press.
[9] Ndukwe, A. I. and Anyakwo, C. N. (2017). Modelling of Corrosion Inhibition of Mild Steel in Sulphuric Acid by thoroughly Crushed Leaves of Voacanga Africana (Apocynaceae). AJER, 6 (1), 344-356. http://www.ajer.org/papers/v6(01)/ZX060344356.pdf
[10] Cleversley, K., (n.d.). Retrieved May 3, 2015, from http://www.entheology.com/plants/vocanga-vocanga
[11] Neural Networks (2012). ANN - Artificial Neural Networks. Engineering Garage. Retrieved May 27, 2017 from https://www.engineersgarage.com/articles/artificial-neural-networks
[12] Khadom, A. A. (2014). Effect of Temperature on Corrosion Inhibition of Copper - Nickel Alloy by Tetra- ethylenepentamine underflow Conditions. Journal of the Chilean Chemical Society, 59 (3), 2545-2549.
[13] Negnevitsky, M. (2005) Artificial Intelligence, A guide to Intelligence Systems. Retrieved January 3, 2016 from http://www.academia.dk/BiologiskAntropologi/Epidemiologi/DataMining/Artificial_Intelligence-A_Guide_to_Intelligent_Systems.pdf
[14] Nasr, M. S., Moustafa, M. A. E., Seif, H. A. E., & El Kobrosy, G. (2012). Application of Artificial Neural Network (ANN) for the prediction of EL-AGAMY waste water treatment plant performance- EGYPT. Alexandria Engineering Journal 51, 37-43.
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    Charles Nwachukwu Anyakwo, Agha Inya Ndukwe. (2017). Prognostic Model for Corrosion-Inhibition of Mild Steel in Hydrochloric Acid by Crushed Leaves of Voacanga Africana. International Journal of Computational and Theoretical Chemistry, 5(3), 30-41. https://doi.org/10.11648/j.ijctc.20170503.12

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    ACS Style

    Charles Nwachukwu Anyakwo; Agha Inya Ndukwe. Prognostic Model for Corrosion-Inhibition of Mild Steel in Hydrochloric Acid by Crushed Leaves of Voacanga Africana. Int. J. Comput. Theor. Chem. 2017, 5(3), 30-41. doi: 10.11648/j.ijctc.20170503.12

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    AMA Style

    Charles Nwachukwu Anyakwo, Agha Inya Ndukwe. Prognostic Model for Corrosion-Inhibition of Mild Steel in Hydrochloric Acid by Crushed Leaves of Voacanga Africana. Int J Comput Theor Chem. 2017;5(3):30-41. doi: 10.11648/j.ijctc.20170503.12

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  • @article{10.11648/j.ijctc.20170503.12,
      author = {Charles Nwachukwu Anyakwo and Agha Inya Ndukwe},
      title = {Prognostic Model for Corrosion-Inhibition of Mild Steel in Hydrochloric Acid by Crushed Leaves of Voacanga Africana},
      journal = {International Journal of Computational and Theoretical Chemistry},
      volume = {5},
      number = {3},
      pages = {30-41},
      doi = {10.11648/j.ijctc.20170503.12},
      url = {https://doi.org/10.11648/j.ijctc.20170503.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijctc.20170503.12},
      abstract = {The weight-loss technique was used to study the inhibition of the corrosion of mild steel in 0.7M, 1.2M and 2.2M HCl by thoroughly crushed fresh-leaves of Voacanga Africana. The corrosion rate was observed to increase with increase in the concentration of acid. The maximum inhibition efficiency of 69.80% was obtained when thoroughly crushed leaves of Voacanga Africana was added at 15g per litre of 0.7M HCl with a corresponding decrease in corrosion rate from 2.6487mg.cm-2.h-1 to 1.3684mg.cm-2.h-1. The prediction of the corrosion rate by the artificial neural network gave a minimal error and was closer to the experimental corrosion-rate value in comparison with the prediction by multiple regression. Upon the variation of temperature between 298K and 358K, the activation energy obtained for the corrosion of mild steel in the blank solution of 0.7M HCl was 20,908.68J while the addition of Voacanga Africana’s crushed leaves at 15g per litre of 0.7M HCl increased the activation energy to 26,710.26J. The corrosion inhibition of mild steel in hydrochloric acid by the addition of the crushed plant-leaves is in agreement with the Langmuir adsorption isotherm with R2 = 0.992.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - Prognostic Model for Corrosion-Inhibition of Mild Steel in Hydrochloric Acid by Crushed Leaves of Voacanga Africana
    AU  - Charles Nwachukwu Anyakwo
    AU  - Agha Inya Ndukwe
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    T2  - International Journal of Computational and Theoretical Chemistry
    JF  - International Journal of Computational and Theoretical Chemistry
    JO  - International Journal of Computational and Theoretical Chemistry
    SP  - 30
    EP  - 41
    PB  - Science Publishing Group
    SN  - 2376-7308
    UR  - https://doi.org/10.11648/j.ijctc.20170503.12
    AB  - The weight-loss technique was used to study the inhibition of the corrosion of mild steel in 0.7M, 1.2M and 2.2M HCl by thoroughly crushed fresh-leaves of Voacanga Africana. The corrosion rate was observed to increase with increase in the concentration of acid. The maximum inhibition efficiency of 69.80% was obtained when thoroughly crushed leaves of Voacanga Africana was added at 15g per litre of 0.7M HCl with a corresponding decrease in corrosion rate from 2.6487mg.cm-2.h-1 to 1.3684mg.cm-2.h-1. The prediction of the corrosion rate by the artificial neural network gave a minimal error and was closer to the experimental corrosion-rate value in comparison with the prediction by multiple regression. Upon the variation of temperature between 298K and 358K, the activation energy obtained for the corrosion of mild steel in the blank solution of 0.7M HCl was 20,908.68J while the addition of Voacanga Africana’s crushed leaves at 15g per litre of 0.7M HCl increased the activation energy to 26,710.26J. The corrosion inhibition of mild steel in hydrochloric acid by the addition of the crushed plant-leaves is in agreement with the Langmuir adsorption isotherm with R2 = 0.992.
    VL  - 5
    IS  - 3
    ER  - 

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Author Information
  • Department of Materials and Metallurgical Engineering, Federal University of Technology, Owerri, Nigeria

  • Department of Metallurgical Engineering Technology, Akanu Ibiam Federal Polytechnic Unwana, Afikpo, Nigeria

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