2015
DOI: 10.1016/j.jmps.2015.02.015
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Peridynamic modeling of pitting corrosion damage

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Cited by 238 publications
(156 citation statements)
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“…[1][2][3] Pitting corrosion of stainless steel usually occurs in two different stages: (1) pit initiation from passive film breakage [4][5][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.…”
Section: Introductionmentioning
confidence: 99%
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“…[1][2][3] Pitting corrosion of stainless steel usually occurs in two different stages: (1) pit initiation from passive film breakage [4][5][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.…”
Section: Introductionmentioning
confidence: 99%
“…12,30,31 A mesh-free method, the peridynamic model, has been implemented to model pitting corrosion, but it only considered electrochemical reactions without considering the ionic transport in the electrolyte. 7 Over the past three decades, the phase field (PF) method has emerged as a powerful simulation tool for modeling of microstructure evolution. PF models study the phase transformation by defining the system's free energy, and the system's microstructure evolution is predicted by free energy minimization.…”
Section: Introductionmentioning
confidence: 99%
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“…Free DSF on the surface of the particle would mean less DSF was encapsulated and will influence DSF release resulting in an 'initial burst' [48]. Pitting can influence the durability and integratory of the nanoparticles [49] and tends to occur in acidic pH making the PLGA more porous and causing accelerated degradation, resulting in increased drug release, which could mean that a lower concentration of the drug will reach the target cell [50]. Aggregated nanoparticles are much more difficult to disperse making systemic administration difficult.…”
Section: Plga Nanoparticlesmentioning
confidence: 99%
“…Thus, a new PD algorithm, based on implicit time integration, has been introduced for predicting metal dissolution. This process is modeled using a modified NernstPlanck equation, where electromigration and diffusion effects are included in an effective diffusion coefficient, whose value is obtained through calibration against experimental data as explained in [8]. The peridynamics version of the governing equation for metal dissolution can be written as:…”
Section: Peridynamicsmentioning
confidence: 99%