Three-dimensional modeling of pitting corrosion considering the crystallographic orientation of the microstructure

This study introduces an innovative framework for a three-dimensional numerical model that simulates the influence of crystallographic features within the microstructures of SS304L on pit growth behavior. The exploration of crystallographic effects involves three-dimensional reconstruction, followed by incorporating orientation dependencies into corrosion potentials. The transport of mass and chemical reactions among different species in the solution is characterized by the utilization of the Nernst-Planck equation in the simulation. Tracking of the corrosion progression is achieved through the Arbitrary Lagrangian-Eulerian (ALE) method. Our findings clearly demonstrate the significant influence of crystallographic orientation on the development of localized pits. The simulated outcomes from our model suggest that enhancing the diversity or refining grain orientations can alleviate the irregularity of pitting expansion.