Based on the principles of metal solidification and cellular automaton (CA), as well as AlN precipitation thermodynamics and kinetics, a CA model of interdendritic AlN precipitation was established by coupling a large-size mesh describing the dendrite growth of Fe–C–Al–N alloys and a small-size mesh representing AlN precipitation based on transient chemical equilibrium. The results of single dendrite growth stimulated by this model were compared with the Lipton–Glicksman–Kurz solution to verify the correctness of the matrix dendrite growth simulation. The AlN morphology and dimensions obtained from the CA model simulations are following the experimental results. The presence of equiaxed dendrite in the computational domain results in a significant coarsening of the columnar dendrite and a uniform solute distribution around them, and the AlN solid phase fraction decreases. Simulations of AlN precipitation at different wetting angles were also performed, and it was found that the solid phase fraction of AlN decreased with the increase in wetting angle. Thus, it is confirmed that the established model is an effective method to simulate interdendritic AlN precipitation.

基于金属凝固和元胞自动机（CA）原理，以及AlN析出热力学和动力学，通过耦合描述Fe-C-Al-枝晶生长的大尺寸网格，建立了枝晶间AlN析出的CA模型。 N 合金和代表基于瞬态化学平衡的 AlN 沉淀的小尺寸网格。将该模型刺激的单枝晶生长结果与 Lipton-Glicksman-Kurz 解进行比较，以验证基体枝晶生长模拟的正确性。从 CA 模型模拟获得的 AlN 形态和尺寸遵循实验结果。计算域中等轴枝晶的存在导致柱状枝晶的显着粗化和它们周围的均匀溶质分布，并且AlN固相分数降低。还进行了不同润湿角下AlN析出的模拟，发现AlN的固相分数随着润湿角的增加而降低。由此证实，所建立的模型是模拟枝晶间AlN析出的有效方法。