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Abstract：
The cellular automata (CA) method has played an important role in the research and development of metallic materials. CA can interpret the microstructure changes of materials and obtain more abundant, accurate and intuitive information of microstructure evolution than conventional methods. CA can visually represent the process of grain formation, growth, development and change to us in a graphical way, which can assist us in analysis, thinking and solving problems. In the last five years, the application of CA in materials research has been rapidly developed, and CA has begun to occupy an increasingly important position in the simulation research of metallic materials. After introducing the advantages and limitations of CA compared to other widely used simulation methods, the purpose of this paper is to review the recent application progress on the microstructure simulation of metallic materials using CA, such as solidification, recrystallization, phase transformation and carbide precipitation occurring during forming and heat treatment. Specifically, recent research advances on microstructure simulation by CA in the fields of additive manufacturing, welding, asymmetrical rolling, corrosion prevention, etc., are also elaborated in this paper. Furthermore, this paper points out the future work direction of CA simulation in the research of metallic materials, especially in the simulation of the crystal structure, the prediction of mechanical properties, CA simulation software and rule systems, etc. These are expected to attract wide attention of researchers in the field of metallic materials and promote the development of CA in materials research.
摘要：
元胞自动机（CA）方法在金属材料的研究和开发中发挥了重要作用。CA可以解释材料的微观结构变化，并获得更丰富的，微观结构演化的信息比常规方法准确、直观。CA可以直观地表示晶粒形成的过程，增长,以图形的方式发展和改变，这可以帮助我们分析，思考和解决问题。在过去的五年里,CA在材料研究中的应用得到了迅速发展，而CA开始在金属材料的仿真研究中占据越来越重要的地位。在介绍了CA与其他广泛使用的仿真方法相比的优点和局限性之后，本文的目的是回顾CA在金属材料微观结构模拟中的应用进展,如凝固，再结晶,在成形和热处理过程中发生的相变和碳化物析出。具体来说,CA在增材制造领域微观结构模拟的最新研究进展，焊接,不对称滚动，防腐蚀,等。,本文还对此进行了阐述。此外，指出了今后CA模拟在金属材料研究中的工作方向,特别是在模拟晶体结构时,机械性能的预测，CA仿真软件和规则系统，等。这些有望引起金属材料领域研究人员的广泛关注，并促进CA在材料研究中的发展。
