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Numerical simulation of microstructure evolution on near eutectic spheroidal graphite cast iron

机译:近共晶球墨铸铁组织演变的数值模拟

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A multiphase cellular automaton model was developed to simulate microstructure evolution of near eutectic spheroidal graphite cast iron (SGI) during its solidification process, and both dendritic austenite and spheroidal graphite growth models were adopted. To deduce the mesh anisotropy of cellular automaton method, the composition averaging and geometrical parameter were introduced to simulate the spheroidal graphite growth. Solute balance method and decentered square algorithms were employed to simulate austenite dendrites growth with different crystallographic orientations. The simulated results indicate that the graphite nodule grows in a spherical morphology when the surrounding environment of a single graphite nodule is same. However, for two adjacent graphite nodules, the environment is different. The higher the carbon concentration, the faster the growth of graphite. By comparison with experimental results, it is found that the microstructure evolution of near eutectic spheroidal graphite cast iron during solidification process can be reproduced quantitatively by numerical simulation with this model.
机译:建立了多相元胞自动机模型,模拟了近共晶球墨铸铁在凝固过程中的组织演变,并采用了枝晶奥氏体和球墨生长模型。为了推导细胞自动机方法的网格各向异性,引入了组成平均和几何参数来模拟球形石墨的生长。采用溶质平衡法和偏心平方算法模拟了不同晶向的奥氏体枝晶生长。模拟结果表明,当单个石墨球的周围环境相同时,石墨球以球形形态生长。但是,对于两个相邻的石墨结核,环境是不同的。碳浓度越高,石墨的生长越快。通过与实验结果的比较,发现该模型可以通过数值模拟定量地再现近共晶球墨铸铁在凝固过程中的组织演变。

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