Computer Simulation of Uniform Corrosion Process for Carbon Steel

An Qi Wu; Hong Ying Yu; Dong Bai Sun

doi:10.4028/www.scientific.net/AMR.201-203.234

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 201-203Computer Simulation of Uniform Corrosion Process...

Computer Simulation of Uniform Corrosion Process for Carbon Steel

Abstract:

Computer simulation is a new research approach for corrosion science. A simple model is proposed to describe uniform corrosion process which is a common corrosion failure type for carbon steel. As a lot of chemical and physical processes take place during corrosion reaction with complexity and random, we have to simplify the complex process to establish a math model which is suitable for a simulation calculation. The computational model based on cellular automata (CA) approach uses local rules to govern the electrochemical reactions, and simulate the corrosion system as a discrete dynamical system. As a result the simulation computational solution is compared with experimental data in this work, both of which show the same characteristics of data distribution. The results presented the feasibility of the cellular automata approach to simulate the corrosion process and to describe change of surface topography in company with the increase of corrosion quantity.

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Advanced Manufacturing Systems, ICMSE 2011

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Periodical:

Advanced Materials Research (Volumes 201-203)

Pages:

234-240

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.201-203.234

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Online since:

February 2011

Authors:

An Qi Wu, Hong Ying Yu, Dong Bai Sun

Keywords:

Carbon Steel, Cellular Automata (CA), Model, Simulation, Uniform Corrosion

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References

[1] J. Saunier, M. Dymitrowska, A. Chausse, J. Stafiej and J. P. Badiali. Journal of Electroanalytical Chemistry: Vol. 582(2005), p.267.

DOI: 10.1016/j.jelechem.2005.03.047

Google Scholar

[2] A. Jivkov, N. Stevens,T. Marrow. Acta Materialia: Vol. 54 (2006), p.3493.

Google Scholar

[3] J. Rajasankar, N. Iyer. Engineering Fracture Mechanics: Vol. 73(2006), p.553.

Google Scholar

[4] A. Turnbull, L. McCartney, S. Zhou. Corrosion Science: Vol. 48(2006), p. (2084).

Google Scholar

[5] F. Zhi, H. Jianfeng, Z. Lin, Y. Wu. Corrosion Science and Technonogy, Vol. 8(1996), p.195.

Google Scholar

[6] B. Chopard, M. Droz: Cellular Automata Modeling of Physical Systems (Trans by X. Zhu, X. Zhao, Beijing 2003).

Google Scholar

[7] B. Malki, B. Baroux. Corrosion Science: Vol. 45 (2005), p.171.

Google Scholar

[8] R. Pidaparti, F. Long, M. Palakal. Computational Materials Science: Vol. 41(2008), p.255.

Google Scholar

[9] R. Pidaparti, M. Palakal, F. Long. International Journal of Artificial Intelligence Tools Vol. 14 (2005), p.361.

Google Scholar

[10] Q. Li. Materials Science and Engineering. A, Structural Materials: Vol. 369(2004), p.284.

Google Scholar