Simulation of metal corrosion layer growth behavior under high temperature by cellular automaton method

The cellular automaton (CA) method is employed to estimate the Ni-Cr alloy oxidation/sulfidation layer growth behavior under high temperature in corrosion atmosphere containing oxygen and sulfur element. The parameters in this model include reaction probability, reaction time and corrosion layer thickness. The simulation result shows that the model has the ability to reect the high temperature corrosion characteristic. The oxidation kinetics follows the Wagner parabolic theory. Additionally, the parametric research is conducted by varying parameters in the model. The result shows that the increase of Cr concentration in the metal substrate leads to thinner corrosion layer thickness, which is accordance with the anti-corrosion property of Cr element.