The pitting corrosion damage growth in aircraft aluminum is investigated. The main objective is to develop a corrosion pit damage growth process model using the local rules governing the electrochemical reactions and simulate them as a discrete dynamic system using cellular automata approach. The results of corrosion damage growth obtained from simulation are compared qualitatively as well as quantitatively to the experimental data obtained from Center for Materials Diagnostics at the University of Dayton Research Institute, Dayton, Ohio. The effect of various electrochemical parameters on the damage growth are obtained from the simulation are presented and discussed. The results presented illustrate the new approach using cellular automata to model pit damage growth in aircraft aluminum materials. The simulation program is developed in JAVA environment for ease of portability and usability.
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Pidaparti et al. (2004) studied this question.
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