Table of Contents
ISRN Corrosion
Volume 2013 (2013), Article ID 710579, 9 pages
Research Article

The Development of a Mathematical Model for the Prediction of Corrosion Rate Behaviour for Mild Steel in 0.5 M Sulphuric Acid

1Department of Metallurgical Engineering, Waziri Umaru Federal Polytechnic, Birnin Kebbi, Nigeria
2Department of Mechanical Engineering, University of Abuja, Abuja, Nigeria
3Department of Metallurgical and Materials Engineering, Ahmadu Bello University, Zaria, Nigeria

Received 5 November 2012; Accepted 26 November 2012

Academic Editors: Q. Qu and E. Stupnisek-Lisac

Copyright © 2013 I. Y. Suleiman et al. This 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.


The effect of varying temperature, concentration, and time on the corrosion rate of mild steel in 0.5 M H2SO4 acid with and without (wild jute tree) grewia venusta plant extract has been investigated by weight loss. The temperature, concentration of inhibitor and time were varied in the range of 0–10% v/v at 2% v/v interval, 30–70C at 20C interval, and 45–270 minutes at 45 minutes interval respectively. Scanning electron microscope was used to analyze the morphology of the sample surface. Linear regression equation and analysis of variance (ANOVA) were employed to investigate the influence of process parameters on the corrosion rate of the samples. The predicted corrosion rate of the samples was found to lie close to those experimentally observed ones. The confirmation of the experiment conducted using ANOVA to verify the optimal testing parameters shows that the increase in inhibitor concentration above 2% v/v and time would reduce the corrosion rate. The results also showed that the increase in temperature would also increase the corrosion rate greatly and that the plant extract was very effective for the corrosion inhibition of mild steel in acidic medium.