Cellular automata simulation of interactions between metastable corrosion pits on stainless steel

Wang, H. T.; Han, En‐Hou

doi:10.1002/maco.201408057

Cited by 8 publications

(2 citation statements)

References 24 publications

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“…The study built on previous work on the mechanism and electrochemical and mass transfer steps associated with the pitting corrosion process. Wang et al [50] reproduced the interactions between metastable pits in stainless steel and analyzed how different factors affect their growth and stability. The model included corrosion, passivation, salt film hydrolysis, and hydrogen ion diffusion.…”

Section: Localized and Pitting Corrosion Modelmentioning

confidence: 99%

Cellular Automata Modeling as a Tool in Corrosion Management

Reinoso-Burrows,

Toro,

Cortés-Carmona

et al. 2023

Materials

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Cellular automata models have emerged as a valuable tool in corrosion management. This manuscript provides an overview of the application of cellular automata models in corrosion research, highlighting their benefits and contributions to understanding the complex nature of corrosion processes. Cellular automata models offer a computational approach to simulating corrosion behavior at the microscale, capturing the intricate interactions between electrochemical reactions, material properties, and environmental factors and generating a new vision of predictive maintenance. It reviews the key features of cellular automata, such as the grid-based representation of the material surface, the definition of state variables, and the rules governing cell-state transitions. The ability to model local interactions and emergent global behavior makes cellular automata particularly suitable for simulating corrosion processes. Finally, cellular automata models offer a powerful and versatile approach to studying corrosion processes, expanding models that can continue to enhance our understanding of corrosion and contribute to the development of effective corrosion prevention and control strategies.

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Section: Localized and Pitting Corrosion Modelmentioning

confidence: 99%

Cellular Automata Modeling as a Tool in Corrosion Management

Reinoso-Burrows,

Toro,

Cortés-Carmona

et al. 2023

Materials

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“…Therefore, mesoscopic simulations are more suitable to describe local corrosion. The existing mesoscopic scale simulation (pitting simulation) only considers the dissolution reaction of corrosive particles [32][33][34][35][36][37][38] and makes the simulation process simple without considering the effects of the concentration gradient and product particles [39,40]; however, this is quite different from the actual situation. In addition, an external electric field is required in this method.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of Non-Uniform Electrolytic Machining Based on Cellular Automata

Wei

Guo

2021

Metals

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Porous microstructure is a common surface morphology that is widely used in antifouling, drag reduction, adsorption, and other applications. In this paper, the lattice gas automata (LGA) method was used to simulate the non-uniform electrochemical machining of porous structure at the mesoscopic level. In a cellular space, the metal and the electrolyte were separated into orderly grids, the migration of corrosive particles was determined by an electric field, and the influences of the concentration gradient and corrosion products were considered. It was found that different pore morphologies were formed due to the competition between dissolution and diffusion. When the voltage was low, diffusion was sufficient, and no deposit was formed at the bottom of the pore. The pore grew faster along the depth and attained a cylindrical shape with a large depth-to-diameter ratio. As the voltage increased, the dissolution rates in all directions were the same; therefore, the pore became approximately spherical. When the voltage continued to increase, corrosion products were not discharged in time due to the rapid dissolution rate. Consequently, a sedimentary layer was formed at the bottom of the pore and hindered further dissolution. In turn, a disc-shaped pore with secondary pores was formed. The obtained simulation results were verified by experimental findings. This study revealed the causes of different morphologies of pores, which has certain guiding significance for non-uniform electrochemical machining.

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