journal article·2005-12

Computational modeling of cathodic limitations on localized corrosion of wetted SS 316L at room temperature

Fushuang Cui, Francisco J. Presuel-Moreno, Robert G. Kelly

Corrosion Science· Volume 47· Issue 12
Publisher page

Abstract

The ability of a SS 316L surface wetted with a thin electrolyte layer to serve as an effective cathode for an active localized corrosion site was studied computationally. The dependence of the total net cathodic current, I net , supplied at the repassivation potential E rp (of the anodic crevice) on relevant physical parameters including water layer thickness (WL), chloride concentration ([Cl − ]) and length of cathode (Lc) were investigated using a three-level, full factorial design. The effects of kinetic parameters including the exchange current density ( i o,c) and Tafel slope ( β c ) of oxygen reduction, the anodic passive current density ( i p) (on the cathodic surface), and E rp were studied as well using three-level full factorial designs of [Cl −] and Lc with a fixed WL of 25 μm. The study found that all the three parameters WL, [Cl −] and Lc as well as the interactions of Lc × WL and Lc × [Cl −] had significant impact on I net . A five-factor regression equation was obtained which fits the computation results reasonably well, but demonstrated that interactions are more complicated than can be explained with a simple linear model. Significant effects on I net were found upon varying either i o,c, β c, or E rp, whereas i p in the studied range was found to have little impact. It was observed that I net asymptotically approached maximum values ( I max) when Lc increased to critical minimum values. I max can be used to determine the stability of coupled localized corrosion and the critical Lc provides important information for experimental design and corrosion protection.
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Research context

OpenAlex topics: Corrosion Behavior and Inhibition · Hydrogen embrittlement and corrosion behaviors in metals · Concrete Corrosion and Durability

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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