Predictive Corrosion-Inhibition Model for Mild Steel in Sulphuric Acid (H<sub>2</sub>SO<sub>4</sub>) by Leaf-Pastes of Sida Acuta Plant

Agha Inya Ndukwe; Charles Nwachukwu Anyakwo

doi:doi:10.11648/j.jccee.20170205.11

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Predictive Corrosion-Inhibition Model for Mild Steel in Sulphuric Acid (H₂SO₄) by Leaf-Pastes of Sida Acuta Plant

Agha Inya Ndukwe, Charles Nwachukwu Anyakwo

Published in Journal of Civil, Construction and Environmental Engineering (Volume 2, Issue 5)

Received: 18 August 2017 Accepted: 7 September 2017 Published: 9 October 2017

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Abstract

The study of the corrosion inhibition of mild steel in sulphuric acid (H₂SO₄) by the leaf pastes of Sida Acuta was probed using the weight-loss technique. The highest inhibition efficiency of 91.46% with a reduction in corrosion rate from 3.1338mg.cm^-2.h^-1 to 0.2825mg.cm^-2.h^-1 was achieved by the addition of the leaf pastes of Sida Acuta at 30g per litre of 1.2M H₂SO₄. The prediction obtained using the artificial neural network gave the least error and was closer to the experimental corrosion rate value in comparison with the prediction by multiple regression.

Published in	Journal of Civil, Construction and Environmental Engineering (Volume 2, Issue 5)
DOI	10.11648/j.jccee.20170205.11
Page(s)	123-133
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), 2024. Published by Science Publishing Group

Keywords

Corrosion Rate, Leaf-Pastes of Sida Acuta, Artificial Neural Network, Multiple Regression, Mild Steel, Sulphuric Acid (H₂SO₄)

References

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Agha Inya Ndukwe, Charles Nwachukwu Anyakwo. (2017). Predictive Corrosion-Inhibition Model for Mild Steel in Sulphuric Acid (H2SO4) by Leaf-Pastes of Sida Acuta Plant. Journal of Civil, Construction and Environmental Engineering, 2(5), 123-133. https://doi.org/10.11648/j.jccee.20170205.11

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ACS Style

Agha Inya Ndukwe; Charles Nwachukwu Anyakwo. Predictive Corrosion-Inhibition Model for Mild Steel in Sulphuric Acid (H2SO4) by Leaf-Pastes of Sida Acuta Plant. J. Civ. Constr. Environ. Eng. 2017, 2(5), 123-133. doi: 10.11648/j.jccee.20170205.11

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AMA Style

Agha Inya Ndukwe, Charles Nwachukwu Anyakwo. Predictive Corrosion-Inhibition Model for Mild Steel in Sulphuric Acid (H2SO4) by Leaf-Pastes of Sida Acuta Plant. J Civ Constr Environ Eng. 2017;2(5):123-133. doi: 10.11648/j.jccee.20170205.11

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@article{10.11648/j.jccee.20170205.11,
  author = {Agha Inya Ndukwe and Charles Nwachukwu Anyakwo},
  title = {Predictive Corrosion-Inhibition Model for Mild Steel in Sulphuric Acid (H2SO4) by Leaf-Pastes of Sida Acuta Plant},
  journal = {Journal of Civil, Construction and Environmental Engineering},
  volume = {2},
  number = {5},
  pages = {123-133},
  doi = {10.11648/j.jccee.20170205.11},
  url = {https://doi.org/10.11648/j.jccee.20170205.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jccee.20170205.11},
  abstract = {The study of the corrosion inhibition of mild steel in sulphuric acid (H2SO4) by the leaf pastes of Sida Acuta was probed using the weight-loss technique. The highest inhibition efficiency of 91.46% with a reduction in corrosion rate from 3.1338mg.cm-2.h-1 to 0.2825mg.cm-2.h-1 was achieved by the addition of the leaf pastes of Sida Acuta at 30g per litre of 1.2M H2SO4. The prediction obtained using the artificial neural network gave the least error and was closer to the experimental corrosion rate value in comparison with the prediction by multiple regression.},
 year = {2017}
}

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TY  - JOUR
T1  - Predictive Corrosion-Inhibition Model for Mild Steel in Sulphuric Acid (H2SO4) by Leaf-Pastes of Sida Acuta Plant
AU  - Agha Inya Ndukwe
AU  - Charles Nwachukwu Anyakwo
Y1  - 2017/10/09
PY  - 2017
N1  - https://doi.org/10.11648/j.jccee.20170205.11
DO  - 10.11648/j.jccee.20170205.11
T2  - Journal of Civil, Construction and Environmental Engineering
JF  - Journal of Civil, Construction and Environmental Engineering
JO  - Journal of Civil, Construction and Environmental Engineering
SP  - 123
EP  - 133
PB  - Science Publishing Group
SN  - 2637-3890
UR  - https://doi.org/10.11648/j.jccee.20170205.11
AB  - The study of the corrosion inhibition of mild steel in sulphuric acid (H2SO4) by the leaf pastes of Sida Acuta was probed using the weight-loss technique. The highest inhibition efficiency of 91.46% with a reduction in corrosion rate from 3.1338mg.cm-2.h-1 to 0.2825mg.cm-2.h-1 was achieved by the addition of the leaf pastes of Sida Acuta at 30g per litre of 1.2M H2SO4. The prediction obtained using the artificial neural network gave the least error and was closer to the experimental corrosion rate value in comparison with the prediction by multiple regression.
VL  - 2
IS  - 5
ER  -

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Author Information

Agha Inya Ndukwe

Department of Metallurgical Engineering Technology, Akanu Ibiam Federal Polytechnic Unwana, Afikpo, Nigeria
Charles Nwachukwu Anyakwo

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

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APA Style

Agha Inya Ndukwe, Charles Nwachukwu Anyakwo. (2017). Predictive Corrosion-Inhibition Model for Mild Steel in Sulphuric Acid (H2SO4) by Leaf-Pastes of Sida Acuta Plant. Journal of Civil, Construction and Environmental Engineering, 2(5), 123-133. https://doi.org/10.11648/j.jccee.20170205.11

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ACS Style

Agha Inya Ndukwe; Charles Nwachukwu Anyakwo. Predictive Corrosion-Inhibition Model for Mild Steel in Sulphuric Acid (H2SO4) by Leaf-Pastes of Sida Acuta Plant. J. Civ. Constr. Environ. Eng. 2017, 2(5), 123-133. doi: 10.11648/j.jccee.20170205.11

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AMA Style

Agha Inya Ndukwe, Charles Nwachukwu Anyakwo. Predictive Corrosion-Inhibition Model for Mild Steel in Sulphuric Acid (H2SO4) by Leaf-Pastes of Sida Acuta Plant. J Civ Constr Environ Eng. 2017;2(5):123-133. doi: 10.11648/j.jccee.20170205.11

Copy | Download

@article{10.11648/j.jccee.20170205.11,
  author = {Agha Inya Ndukwe and Charles Nwachukwu Anyakwo},
  title = {Predictive Corrosion-Inhibition Model for Mild Steel in Sulphuric Acid (H2SO4) by Leaf-Pastes of Sida Acuta Plant},
  journal = {Journal of Civil, Construction and Environmental Engineering},
  volume = {2},
  number = {5},
  pages = {123-133},
  doi = {10.11648/j.jccee.20170205.11},
  url = {https://doi.org/10.11648/j.jccee.20170205.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jccee.20170205.11},
  abstract = {The study of the corrosion inhibition of mild steel in sulphuric acid (H2SO4) by the leaf pastes of Sida Acuta was probed using the weight-loss technique. The highest inhibition efficiency of 91.46% with a reduction in corrosion rate from 3.1338mg.cm-2.h-1 to 0.2825mg.cm-2.h-1 was achieved by the addition of the leaf pastes of Sida Acuta at 30g per litre of 1.2M H2SO4. The prediction obtained using the artificial neural network gave the least error and was closer to the experimental corrosion rate value in comparison with the prediction by multiple regression.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Predictive Corrosion-Inhibition Model for Mild Steel in Sulphuric Acid (H2SO4) by Leaf-Pastes of Sida Acuta Plant
AU  - Agha Inya Ndukwe
AU  - Charles Nwachukwu Anyakwo
Y1  - 2017/10/09
PY  - 2017
N1  - https://doi.org/10.11648/j.jccee.20170205.11
DO  - 10.11648/j.jccee.20170205.11
T2  - Journal of Civil, Construction and Environmental Engineering
JF  - Journal of Civil, Construction and Environmental Engineering
JO  - Journal of Civil, Construction and Environmental Engineering
SP  - 123
EP  - 133
PB  - Science Publishing Group
SN  - 2637-3890
UR  - https://doi.org/10.11648/j.jccee.20170205.11
AB  - The study of the corrosion inhibition of mild steel in sulphuric acid (H2SO4) by the leaf pastes of Sida Acuta was probed using the weight-loss technique. The highest inhibition efficiency of 91.46% with a reduction in corrosion rate from 3.1338mg.cm-2.h-1 to 0.2825mg.cm-2.h-1 was achieved by the addition of the leaf pastes of Sida Acuta at 30g per litre of 1.2M H2SO4. The prediction obtained using the artificial neural network gave the least error and was closer to the experimental corrosion rate value in comparison with the prediction by multiple regression.
VL  - 2
IS  - 5
ER  -

Copy | Download