Cover
Vol. 12 No. 1 (2012)

Published: July 31, 2012

Pages: 112-118

Original Article

Study the Effect of Seawater Environments and Surface Roughness on Uniform Corrosion Rate of Carbon Steel Using Neural Network Modeling

Haider M. Mohammed 1
1 College of Engineering – Basrah University
History
  • Received: April 30, 2012
  • Available Online: July 31, 2012
DOI

https://doi.org/10.33971/bjes.12.1.9

Abstract

In this research, the effect of seawater environments and surface roughness on uniform corrosion rate of carbon steel (A516 grade 65) was studied depending on the experimental work and artificial neural network modeling. The experimental work involves chemical composition, samples machining, roughness measurements (for carbon steel specimens), conductivity and salinity measurements (for seawater), and uniform corrosion test. Weight loss technique was employed in determining the uniform corrosion rate in carbon steel material. Also, artificial neural network (ANN) model was built to predict the values of uniform corrosion rate (mpy) at different values of conductivity, salinity for seawater and roughness factor for carbon steel depending on the experimental results which were used train and test the ANN. The results obtained of uniform corrosion rate by ANN predictions are shown to be agreed well against experimental values. i.e. correlation coefficient, R=0.9974

References

  1. Metals Handbook, “Corrosion: Fundamentals, Testing, and Protection”, Vol.13A, ASM, Metals Park, Ohio, 2003.
  2. Anees U. M., Shahreer A., and Ismaeel A., “Corrosion Behavior of Steels in Gulf Seawater Environment”, WSTA 4th Gulf Conference, Bahrain, 1999.
  3. Coburn S.K., “Atmospheric Factors Affecting the Corrosion of Engineering Metals”, ASTM STP 646, Philadelphia, 1978.
  4. L. Tarassenko, “A guide to neural computing applications”, John Wiley & Sons Inc., New York, 1998.
  5. Brosheer, B. C., “How Smooth is Smooth? Part-I, Specification and Evaluation of Machined Finishes”, American Machinist, McGraw-Hill, pp. 97-112, 1948.
  6. Al-Ghamdi A. M., Nusair Y. H., and Cocks F. H., “Corrosion Behavior of Selected Metals in Arabian Gulf Seawater”, Proceeding of the 7th Middle East Corrosion Conference, Bahrain, pp. 475-486, 1996.
  7. Oldfield J. W., “Corrosion Initiation and Propagation of Ni-Base Alloys in Seawater Applications”, Corrosion '95, paper 266, NACE, 1995.
  8. Boah J. K. and Frazer P., “Localized Corrosion Tendencies of Piping Materials used in Chlorinated Seawater”, Proceeding of the 7th Middle East Corrosion Conference, Bahrain, p. 409, 1996.
  9. Shifler D. A., “Understanding and Modeling Galvanic Corrosion in Marine Environments”, Corrosion/2006, NACE, 2006.
  10. ASTM International, “Specification for pressure vessel plates, for moderate and lower temperature service”, ASTM 516, 1995.
  11. L. Tarassenko, “A guide to neural computing applications”, John Wiley & Sons Inc., New York, 1998.
  12. Mathworks Inc., "Preprocessing and postprocessing", NNW tool box, (Matlab help), 2007.
  13. Abd. El Rehim S.S., Shalaby M. Sh., and Abd. El Halum S.M, “Effect of Some Anions on the Anodic Dissolution of Delta-S2 Steel in Sulfuric Acid”, Surface Technology, Vol. 24, p. 241, 1985.
  14. Chin R. J. and Nobe K., “Electrodissolution Kinetics of Iron in Chloride Solutions”, J. Electrochem. Soc., Vol. 119 (No. 11), p. 1457, 1972.
  15. Metcalf and Eddy, “Wastewater Engineering”, McGraw-Hill, New York, 1991.
  16. Kriston A., and Lakatos-Varsa M., “Testing and analyzing metastable corrosion”, Electrochimical Acta Journal, Vol. 46, pp. 3699–3703, 2001.