Journal
JOURNAL OF PHYSICAL CHEMISTRY C
Volume 111, Issue 26, Pages 9086-9094Publisher
AMER CHEMICAL SOC
DOI: 10.1021/jp066680v
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We use a cellular automaton model to describe corrosion of a metal with crystalline defects. The line defects are distributed over the material mimicking screw or edge dislocations. The line-defect density and the corrosion probabilities of the metal surface site are the model parameters accounting for the crystallographic aspect of corrosion. The corrosion probability is higher for a site located on a line-defect than otherwise. Varying the model parameters, we investigate the roughness of the metal surface considering both its geometrical and chemical aspects. A complicated surface structure with a high geometrical roughness appears if the defect density is not too high. We show a strong correlation between what we call chemical roughness and the properties of the produced particles by the corrosion front. A mean field description is used to analyze the simulation results. For the long time, the simulation results show that the topography of the corrosion front changes from a defect-controlled regime to a situation where the stochastic aspect is the dominant factor.
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