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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
Volume 2, Issue 5, October 2017, Pages: 123-133
Received: Aug. 18, 2017; Accepted: Sep. 7, 2017; Published: Oct. 9, 2017
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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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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 to 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.
Corrosion Rate, Leaf-Pastes of Sida Acuta, Artificial Neural Network, Multiple Regression, Mild Steel, Sulphuric Acid (H2SO4)
To cite this article
Agha Inya Ndukwe, Charles Nwachukwu Anyakwo, 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. Vol. 2, No. 5, 2017, pp. 123-133. doi: 10.11648/j.jccee.20170205.11
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This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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