Abstract
In this paper, a model is established to simulate the time-dependent deposition of corrosion product on the metal surface by considering mass transfer, electrochemical reactions and precipitation reaction. The model is also capable of tacking the movement of metal corrosion interface and the growing interface of the corrosion product deposits via arbitrary Lagrangian–Eulerian finite element method. The current model not only can be used to predict the time-dependent metal corrosion but also for investigating the influences of the deposits’ nature on metal corrosion. The numerical results of current density and corrosion rate are in good agreement with experiments. The presented model predicts that an exponential relationship exists between the maximum corrosion depth and the porosity of corrosion product deposits, and it is also predicted that the growth of the corrosion product layer is linear relative with the root of time, which is consistent with the existing theories.
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Abbreviations
- a:
-
Anode
- c:
-
Cathode
- c i :
-
Concentration of species i, mol/m3
- c i,bluk :
-
Concentration of species i in bulk solution, mol/m3
- D i :
-
Diffusion coefficient of species i, m2/s
- D ie :
-
Effective diffusion coefficient of species i, m2/s
- F :
-
Faraday’s constant, C/mol
- f(ϕ):
-
Piecewise linear interpolation of polarization data
- J C :
-
Current density of deposits model, A/m2
- J N :
-
Current density of non-deposit model, A/m2
- k :
-
Reaction rate constant for the precipitation reaction of Mg(OH)2, m6/(mol2 s)
- k sp :
-
Apparent solution product constant of Mg(OH)2, mol3/m9
- L c :
-
The length of cathode, m
- m :
-
Cementation exponent
- M i :
-
Molecular weight of species i, kg/mol
- n :
-
Saturation coefficient
- n :
-
Normal vector
- n i :
-
Electrons number of species i
- N i :
-
Molar flux of species i, mol/(m2 s)
- N i,e :
-
Effective molar flux of species i, mol/(m2 s)
- N M,PE :
-
MacMullin number
- R :
-
Universal gas constant, J/(K mol)
- R i :
-
Reaction rate of species i, mol/(m3 s)
- s L :
-
Fluid saturation
- t :
-
Time, s
- T :
-
Temperature, K
- u mi :
-
Mobility of species i, mol m2/(J s)
- u mi,e :
-
Effective mobility of species i, mol m2/(J s)
- v :
-
Velocity vector, m/s
- \( \overline{x} \) :
-
Distance along the metal surface, m
- x :
-
x co-ordinate in spatial frame, m
- y :
-
y co-ordinate in spatial frame, m
- X :
-
X co-ordinate in reference frame, m
- Y :
-
Y co-ordinate in reference frame, m
- z i :
-
Charge of species i
- ϕ :
-
Potential, V vs SCE
- σ :
-
Conductivity of the electrolyte, S/m
- σ e :
-
Effective conductivity of the deposits, S/m
- Γ:
-
Boundary
- ε :
-
Porosity of the deposits
- τ :
-
Tortuosity of the deposits
- v i :
-
Stoichiometric coefficient for species i
- υ :
-
Relative permittivity
- ρ i :
-
Density of species i, kg/m3
- ζ :
-
The dependent variable in step function H
- ξ :
-
Factor in step function H
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Sun, W., Liu, G., Wang, L. et al. An arbitrary Lagrangian–Eulerian model for studying the influences of corrosion product deposition on bimetallic corrosion. J Solid State Electrochem 17, 829–840 (2013). https://doi.org/10.1007/s10008-012-1935-9
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DOI: https://doi.org/10.1007/s10008-012-1935-9