Special Issue on Selected Papers from the 17th International FLAIRS Conference (FLAIRS-2004); Guest Editors: Zdravko Markov, Valerie BarrNo Access

CELLULAR AUTOMATA APPROACH TO AIRCRAFT CORROSION GROWTH

RAMANA M. PIDAPARTI

Virginia Commonwealth University, Mechanical Engineering, 601 West Main Street, Richmond, VA 23284, USA

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MATHEW J. PALAKAL

Indiana University, Purdue University Indianapolis (IUPUI), Computer and Information Science, 723 W. Michigan Street, Indianapolis, IN 46202, USA

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, and

LONG FANG

Indiana University, Purdue University Indianapolis (IUPUI), Computer and Information Science, 723 W. Michigan Street, Indianapolis, IN 46202, USA

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https://doi.org/10.1142/S0218213005002144Cited by:15 (Source: Crossref)

Abstract

Corrosion is one of the degrading mechanisms that greatly affect the structural integrity of aerospace components. Corrosion begins with small imperfections in the given material referred to as "pits". Over time, and with exposure to the environment and loading stresses, these pits grow into structural cracks. These cracks, under further exposure to elements and stress, will eventually lead to material failure. To better understand how corrosion growth process takes place in materials, research is being conducted to simulate corrosion pit growth process using computational intelligence methods. The objective of this study is to develop a discrete dynamic model using cellular automata to simulate the pitting corrosion growth process in aircraft materials, and see how it affects the structural integrity.

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References

P. Marcus and J. Oudar (eds.) , Corrosion Mechanisms in Theory and Practice ( Marcel Dekker, Inc. , New York , 1995 ) . Google Scholar
L. L. Shreie , R. A. Jarman and C. T. Burstein (eds.) , Corrosion – Metal/Environmental Reactions , 3rd edn. ( Butterworth & Heinemann Ltd. , Oxford , 1994 ) . Google Scholar
H. H. Strehblow, Corrosion Mechanisms in Theory and Practice (Marcel Dekker, Inc., New York, 1995) pp. 201–238. Google Scholar
B. Baroux, Corrosion Mechanisms in Theory and Practice (Marcel Dekker, Inc., New York, 1995) pp. 265–310. Google Scholar
L. B. Simon, M. Khobaib, T. E. Matikas, C. S. Jeffcoate, and M. S. Donley, "Controlled pitting in aluminum 2024-T3 alloy," Corrosion, 2000 . Google Scholar
G. N. Frantiziskoniset al., Eur. J. Mech. A. Solids 19, 309 (2000). Web of Science, Google Scholar
T. Toffoli and N. Margolus , Cellular Automata Machines: a New Environment for Modeling ( The MIT Press , 1987 ) . Google Scholar
B. Chopard and M. Droz , Cellular Automata Modeling of Physical Systems ( Cambridge University Press , 1998 ) . Google Scholar
S. Chenet al., Physica D 46, 72 (1991). Google Scholar
U. D'Ootonaet al., Phys. Rev. E 51, 3718 (1995), DOI: 10.1103/PhysRevE.51.3718. Google Scholar
B. Boghosian, P. Coveney and A. Emerton, Proceedings of the Royal Society of London 452, 1221 (1996). Web of Science, Google Scholar
J. T. Wells, D. R. Janecky and B. J. Travis, Physica D 47, 115 (1991). Web of Science, Google Scholar
R. M. Ziff, E. Gulari and Y. Barshad, Phys. Rev. Lett. 56, 2553 (1986). Web of Science, Google Scholar
K. Chen, P. Bak and C. Tang, Phys. Lett. A 147, 297 (1990). Google Scholar
S. Wolfram , Theory and Application of Cellular Automata ( World Scientific , 1986 ) . Google Scholar
S. Wolfram , Cellular Automata and Complexity ( Addison Wesley , Reading MA , 1994 ) . Google Scholar
J. C. Walton, Corrosion Science 30(8/9), 915 (1990). Web of Science, Google Scholar
J. C. Walton, G. Cragnolino and S. K. Kalandros, Corrosion Science 38(1), 1 (1996). Web of Science, Google Scholar
G. S. Frankel, Jr. of Electro-Chemical Soc. 145(1), 2186 (1998). Web of Science, Google Scholar
S. E. Umbaugh , Computer Vision and Image Processing: A Practical Approach Using CVIPtools ( Prentice Hall PTR , 1998 ) . Google Scholar