Predictability of Al-Mn Alloy Exposure Time Based on Its As-Cast Weight and Corrosion Rate in Sea Water Environment


This paper presents the predictability of aluminium-manganese alloy exposure time based on its as-cast weight and corrosion rate in sea water environment. The validity of the derived model: α = 26.67γ + 0.55β  0.29 is rooted on the core expression: 0.0375α = γ + 0.0206β  0.0109 where both sides of the expression are correspondingly approximately equal. Statistical analysis of model-predicted and experimentally evaluated exposure time for each value of as-cast weight and alloy corrosion rate considered shows a standard error of 0.0017% & 0.0044% and 0.0140% & 0.0150% respectively. The depths of corrosion penetration (at increasing corrosion rate: 0.0104 - 0.0157 mm/yr) as predicted by derived model and obtained from experiment are 0.7208 × 10-4 & 1.0123 × 10-4 mm and 2.5460 × 10-4 & 1.8240 × 10-4 mm (at decreasing corrosion rate: 0.0157 - 0.0062 mm/yr) respectively. Deviational analysis indicates that the maxi- mum deviation of the model-predicted alloy exposure time from the corresponding experimental value is less than 10%.

Share and Cite:

C. Nwoye, S. Neife, E. Ameh, A. Nwobasi and N. Idenyi, "Predictability of Al-Mn Alloy Exposure Time Based on Its As-Cast Weight and Corrosion Rate in Sea Water Environment," Journal of Minerals and Materials Characterization and Engineering, Vol. 1 No. 6, 2013, pp. 307-314. doi: 10.4236/jmmce.2013.16046.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] C. E. Ekuma and N. E. Idenyi, “Statistical Analysis of the Influence of Environment on Prediction of Corrosion from Its Parameters,” Research Journal of Physics, Vol. 1, No. 1, 2007, pp. 27-34.
[2] M. Stratmann, K. Bohnenkamp and W. J. Engell, “An Electrochemical Study of Phase Transitions in Rust Layers,” Corrosion Science, Vol. 23, 1983, pp. 969-985.
[3] S. G. Stratmann and H. Strekcel, “On the Atmospheric Corrosion of Metals Which Are Covered with Thin Electrolyte Layers II, Experimental Results,” Corrosion Science, Vol. 30, No. 6-7, 1990, pp. 697-714.
[4] A. Samim, and S. Zarinabadi, “An Analysis of Polyethylene Coating Corrosion in Oil and Gas Pipelines,” Journal of American Science, Vol. 7, 2011, pp. 1032-1036.
[5] O. Ogundare, I. M. Momoh, O. J. Akinribide, A. R. Adetunji, J. O. Borode, S. O. O. Olusunle and O. O. Adewoye, "Comparative Study of Corrosion Sensitivity of Selected Ferrous Metals in Crude Oil," Journal of Minerals & Materials Characterization & Engineering, Vol. 11, 2012, pp. 559-568.
[6] S. L. Jason, I. R. Richard, J. L. Edward, U. F. Alexander and J. L. Brenda, “An Evaluation of Carbon Steel Corrosion under Stagnant Seawater Conditions,” Biofouling: The Journal of Bioadhesion and Biofilm Research, Vol. 20, No. 4-5, 2004, pp. 237-247.
[7] H. Moller, E. T. Boshoff and H. Froneman, “The Corrosion Behaviour of a Low Carbon Steel in Natural and Synthetic Seawaters,” The Journal of the South African Institute of Mining and Metallurgy, Vol. 106, 2006, pp. 585-592.
[8] I. J. Polmear, “Light Alloys,” Edward Arnold Publishers Ltd., London, 1981.
[9] C. E. Ekuma, N. E. Idenyi and A. E. Umahi, “The Effects of Zinc Addition on the Corrosion Susceptibility of Aluminium Alloys in Various Tetraoxosulphate (vi) Acid Environments,” Journal of Applied Science, Vol. 7, No. 2, 2007, pp. 237-241.
[10] N. E. Idenyi, S. P. I. Ogah and J. C. Mbazor, “Corrosion Behaviour of Al-Mn Binary Alloy Systems in Selected Environments,” Journal of Metallurgical and Materials Engineering, Vol. 5, 2010, pp. 37-42.
[11] C. I. Nwoye, “C-NIKBRAN-Data Analytical Memory (Software),” 2008.
[12] Microsoft Excel, 2003 Version.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.