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| - Numerical Simulation of Crystallographic Corrosion: Particle Production and SurfaceRoughness
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| - We use a cellular automaton model to describe corrosion of a metal with crystalline defects. The line defectsare distributed over the material mimicking screw or edge dislocations. The line-defect density and the corrosionprobabilities of the metal surface site are the model parameters accounting for the crystallographic aspect ofcorrosion. The corrosion probability is higher for a site located on a line-defect than otherwise. Varying themodel parameters, we investigate the roughness of the metal surface considering both its geometrical andchemical aspects. A complicated surface structure with a high geometrical roughness appears if the defectdensity is not too high. We show a strong correlation between what we call chemical roughness and theproperties of the produced particles by the corrosion front. A mean field description is used to analyze thesimulation results. For the long time, the simulation results show that the topography of the corrosion frontchanges from a defect-controlled regime to a situation where the stochastic aspect is the dominant factor.
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