Numerical Study of Random Corrosion Characteristics of Metal Based On the Cellular Automata Method

In the production process of coal chemical companies, the corrosion of metal equipment and the resulting shortening of its service life can cause safety hazards. Simulation modeling of pit emergence and development during corrosion evolution provides a new approach to corrosion research. By analyzing the effect of different parameters on causing corrosion to occur, it is possible to reflect the influence of complex physico-chemical systems. In this paper, the simulation of a meta-cellular automaton model of pit growth under diffusion and the introduction of a passivation probability to correct the chemical reaction rate are developed; The effect of reaction passivation probability, chemical reaction rate and diffusion coefficient on the degree of corrosion was also analyzed by means of quantitative analysis. The results show that for metal corrosion loss processes, the degree of corrosion damage decreases with increasing probability of reactive passivation and increases with increasing chemical reaction rate, increasing electrolyte concentration and increasing time step. The CA model was applied to simulate the growth and change of pitting corrosion of metal materials with their corrosion protection layer under damaged conditions. The corrosion model can simulate the corrosion morphology change characteristics similar to the real metal to the corrosion pit evolution simulation related research has certain scientific, validity, reference

Numerical Study of Random Corrosion Characteristics of Metal Based On the Cellular Automata Method

In the production process of coal chemical companies, the corrosion of metal equipment and the resulting shortening of its service life can cause safety hazards. Simulation modeling of pit emergence and development during corrosion evolution provides a new approach to corrosion research. By analyzing the effect of different parameters on causing corrosion to occur, it is possible to reflect the influence of complex physico-chemical systems. In this paper, the simulation of a meta-cellular automaton model of pit growth under diffusion and the introduction of a passivation probability to correct the chemical reaction rate are developed; The effect of reaction passivation probability, chemical reaction rate and diffusion coefficient on the degree of corrosion was also analyzed by means of quantitative analysis. The results show that for metal corrosion loss processes, the degree of corrosion damage decreases with increasing probability of reactive passivation and increases with increasing chemical reaction rate, increasing electrolyte concentration and increasing time step. The CA model was applied to simulate the growth and change of pitting corrosion of metal materials with their corrosion protection layer under damaged conditions. The corrosion model can simulate the corrosion morphology change characteristics similar to the real metal to the corrosion pit evolution simulation related research has certain scientific, validity, reference

3D cellular automata simulations of intra and intergranular corrosion

tA simple model for the effect of intergranular corrosion on overall corrosion processes is investigatedusing a cellular automata approach. The corroding polycrystalline material consists of domains and theirboundaries. The domains represent the monocrystalline cores while their boundaries represent the inter-granular defects. Either, a periodic pattern or randomly generated domains of Voronoï tessellation areused to represent the polycrystalline structure. The parameters of the model, taking into account thepolycrystalline aspect of corrosion, are the domain density and the corrosion probabilities of metal graincore and grain boundary sites. The corrosion probability for grain boundary is set to a value higher thanit is for the grain core. A complex surface structure appears with a high geometrical roughness whendefects are not too dense. A strong correlation is established between the roughness evolution, the metalcrystalline properties and the corrosion mechanism of metal dissolution. This work concerns simulationsin 3D and extends the previous work limited to 2D simulations

Overview of Cellular Automaton Models for Corrosion

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