Numerical simulation of crevice corrosion: The effect of the crevice gap profile

Watson, Mark K.; Postlethwaite, J.

doi:10.1016/0010-938x(91)90136-d

Cited by 39 publications

(38 citation statements)

References 21 publications

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“…These numerical models can be divided according to the method in which a moving interface is incorporated in their models. Several steady state 9,10,[13][14][15][16][17][18] and transient state [19][20][21][22][23][24][25][26][27][28] models have been developed over the years that did not allow for changes in the shape and dimensions of the pits/crevices as corrosion proceeds.…”

Section: Introductionmentioning

confidence: 99%

Phase-field model of pitting corrosion kinetics in metallic materials

Ansari

Xiao

et al. 2018

npj Comput Mater

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Pitting corrosion is one of the most destructive forms of corrosion that can lead to catastrophic failure of structures. This study presents a thermodynamically consistent phase field model for the quantitative prediction of the pitting corrosion kinetics in metallic materials. An order parameter is introduced to represent the local physical state of the metal within a metal-electrolyte system. The free energy of the system is described in terms of its metal ion concentration and the order parameter. Both the ion transport in the electrolyte and the electrochemical reactions at the electrolyte/metal interface are explicitly taken into consideration. The temporal evolution of ion concentration profile and the order parameter field is driven by the reduction in the total free energy of the system and is obtained by numerically solving the governing equations. A calibration study is performed to couple the kinetic interface parameter with the corrosion current density to obtain a direct relationship between overpotential and the kinetic interface parameter. The phase field model is validated against the experimental results, and several examples are presented for applications of the phase-field model to understand the corrosion behavior of closely located pits, stressed material, ceramic particles-reinforced steel, and their crystallographic orientation dependence. INTRODUCTIONCorrosion is the gradual destruction of materials (usually metallic materials) via chemical and/or electrochemical reaction with their environment. It costs about 3.1% of the gross domestic product (GDP) in the United States, which is much more than the cost of all natural disasters combined. Localized corrosion, such as pitting corrosion, is one of the most destructive forms of corrosion; it leads to the catastrophic failure of structures and raises both human safety and financial concerns. 1-3 Pitting corrosion of stainless steel usually occurs in two different stages: (1) pit initiation from passive film breakage 4-6 and (2) pit growth. 2,3,[7][8][9][10][11][12] In this study, we focused on the development of a phase-field modeling capability to study pit growth by considering both anodic and cathodic reactions.In the past few decades, great efforts have been made to develop numerical models for pitting corrosion. The moving interface and the electrical double layer at the metal/electrolyte interface are the two challenging problems faced by most of these numerical models. These numerical models can be divided according to the method in which a moving interface is incorporated in their models. Several steady state 9,10,13-18 and transient state 19-28 models have been developed over the years that did not allow for changes in the shape and dimensions of the pits/crevices as corrosion proceeds.Recent advances in numerical techniques, such as the finite element method, the finite volume method, the arbitrary Lagrangian-Eulerian method, the mesh-free method, and the level set method have encouraged researchers to model the evolving morphology...

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Section: Introductionmentioning

confidence: 99%

Phase-field model of pitting corrosion kinetics in metallic materials

Ansari

Xiao

et al. 2018

npj Comput Mater

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“…The innovative but comparatively l:rude (in terms of treatment of mass transport and conservation) model of Oldfield and Sutton [27] has been superseded somewhat by recent models from Watson and Postlethwaite [30,31] and from SharIand [32].…”

Section: Modelling Of the Chemistry And Electrochemistry In Crevicesmentioning

confidence: 97%

Mathematical Modelling of Localised Corrosion

Turnbull

1994

Modelling Aqueous Corrosion

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“…[ 5 ] accounting for the resistance of a particle layer, we compare the results provided by this equation to numerical simulations, using FEMLAB@ (6). Uniform distributions of a single layer of particles in the region between the crevice mouth and the corroding site were analyzed.…”

Section: Effect Of Particles Present Under the Crevice Formermentioning

confidence: 99%

“…Based on our earlier work of modeling cathode currents in presence of particulates (lo), a suitable correction for accounting for this volume blockage effect can be made on the basis of Bruggeman's equation for the equivalent conductivity (11). For a uniform distribution of particulates in the electrolyte, Bruggeman's equation, [5], can be used to obtain an effective conductivity, ~f , once the volume fraction occupied by the particles ( is known. [51 Figure 6 illustrates the dependence of the effective conductivity on the volume fraction.…”

Section: Effect Of Particles Present Under the Crevice Formermentioning

confidence: 99%

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Modeling the Effects of Crevice Former, Particulates , and the Evolving Surface Profile in Crevice Corrosion

Agarwal¹,

Landau²,

Shan³

et al. 2006

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Crevice corrosion may initiate in confined regions due to transport limitations, followed by an accumulation of a highly corrosive chemistry, capable of dissolving the metal. The metal and the crevice former surface roughness, the presence of particulates under the crevice former and the accumulation of solid corrosion products at the corroding site would significantly affect the current and potential distribution at the anode by increasing the ohmic potential drop. Most crevice corrosion models focus on a smooth walled crevice of uniform gap and do not account for the changing profile after crevice corrosion has been initiated. In this work we analyze the crevice (anodic) region and apply current and potential distribution models to examine the effects of the perturbed surface topography. The analysis focuses on three related issues: (i) the effects of surface roughness of the metal and the crevice former, (ii) the effects of particulates under the crevice former, and (iii) the evolution of the crevice profile with corrosion product accumulation at the active, anodic region.

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Numerical simulation of crevice corrosion: The effect of the crevice gap profile

Cited by 39 publications

References 21 publications

Phase-field model of pitting corrosion kinetics in metallic materials

Phase-field model of pitting corrosion kinetics in metallic materials

Mathematical Modelling of Localised Corrosion

Modeling the Effects of Crevice Former, Particulates , and the Evolving Surface Profile in Crevice Corrosion

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