Validating corrosion models: A comparison of governing equations

作者
R.M. Katona,J. Taylor,R.F. Schaller
出处
期刊:Corrosion Science [Elsevier BV]
卷期号:259: 113495-113495 被引量:5
标识
DOI:10.1016/j.corsci.2025.113495
摘要

Experimental validation of Finite Element Method (FEM) models varying electrochemical governing equations, inclusion of chemical reactions, and time on the resultant damage profile for two galvanic couples is explored. Two anode materials (Magnesium AZ31 and Carbon Steel) in contact with a cathode (stainless steel 304 L) were modeled in/exposed to NaCl (1 and 0.1 M respectively for the anode materials) for up to one week. The physics approach, inclusion of chemical reactions, and the boundary conditions required to accurately represent the damage profile in FEM models depended on the galvanic couple materials and, ultimately, the corrosion rate. For high rates of corrosion (i.e., magnesium anode), the Nernst-Planck equation with Electroneutrality was sufficient to describe the damage, while, for low rates of corrosion (i.e., carbon steel anode), the Laplace equation was sufficient. In all cases, the most complete governing equation (Nernst-Planck-Poisson Equation) was not necessary to accurately describe the damage. Precipitation reactions in solution also played a critical role in the predicted damage profile, especially for high corrosion rate systems. Finally, for short time periods (< 6 hours), the choice of modeled governing equations does not significantly influence damage profile results. The choice of physics to reduce error in simulations relies on the boundary conditions, geometry, conductivity of the solution, electrochemical potential differences, and time of exposure. The above results are discussed with regard to accuracy and computational savings. • Electroneutrality assumption in electrochemical modeling validated for corrosion • Necessary governing equations dependent upon corrosion rate • Hydrolysis reactions play a critical role in modeled damage profile • Governing equations converge at small time periods

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