Abstract: The corrosion and protection of metal materials have historically been a concern. According to surveys in developed countries, the annual economic losses caused by corrosion account for approximately 2%—4% of GDP. Thus,clarifying the corrosion status of metal materials in different service environments and accurately predicting their service life is an important means of ensuring production safety and reducing economic losses.Although metal corrosion research methods are based mainly on experiments, computer technology provides accurate and intuitive auxiliary means of metal corrosion research. If numerical simulation technology is combined with experimental study, the research process can be greatly accelerated. The cellular automata (CA) method is intuitive, flexible, and convenient. It can describe the corrosion evolution process of different metal materials in different environments, and can more accurately restore the corrosion laws of nature.In recent years, researchers have confirmed that the material corrosion rate is positively correlated with temperature, corrosive ion concentration, and other factors using the CA method. To reduce the error in simulation results, researchers have optimized the influencing parameters for different corrosive environments. They reasonably transformed the corrosion mechanism and the evolution rule, proposed the movement diffusion rule, described the research process of multi-corrosion pit fusion, and established a typical solution medium circuit model. The models involved in the study of stress corrosion and intergranular corrosion were reconstructed. In this paper, the contribution of CA to metal corrosion is summarized, and the advantages of CA are shown in the study of the metal corrosion mechanism. The limitations of the CA method are described, reasonable quantitative suggestions are presented for unquantifiable influencing factors, and future CA model research is projected in the simulation of metal material corrosion. The purpose of this paper is to provide an effective research method for metal corrosion workers, familiarize more researchers with it, and promote simulation technology to play a more active role in metal corrosion mechanism research and service life prediction.
张喜庆, 滕莹雪, 郭菁. 元胞自动机在金属材料腐蚀研究中的应用[J]. 材料导报, 2023, 37(8): 21050078-11.
ZHANG Xiqing, TENG Yingxue, GUO Jing. Application of Cellular Automata in the Research of Metal Material Corrosion. Materials Reports, 2023, 37(8): 21050078-11.
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2023, Vol. 37 
