Modeling of Microstructure and Microsegregation in Solidification of Multi-Component Alloys
Modeling of Microstructure and Microsegregation in Solidification of Multi-Component Alloys
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DOI：
10.1007/s11669-006-9011-8
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发表时间：
2007-04
影响因子：
1.4
通讯作者：
M. Zhu;W. Cao;S. Chen;C. Hong;Y. Chang
中科院分区：
文献类型：
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作者：
M. Zhu;W. Cao;S. Chen;C. Hong;Y. Chang
在工业需求的推动下，人们对多元合金凝固过程中的微观组织演变和微观偏析发展进行了广泛的研究。本文综述了多元合金凝固过程微观组织和微观偏析模拟的研究进展，包括微观模型、相场、前沿跟踪和元胞自动机等方法。提出了一种与相图软件PanEngine耦合的二维改进元胞自动机（MCA）模型，用于预测三元合金凝固过程中的微观组织和微观偏析。该模型采用MCA技术模拟枝晶生长。用PanEngine计算了确定枝晶生长动力学所需的热力学数据。通过比较模拟值与Scheil模型对一次枝晶中溶质分布随固相分数变化的预测值，验证了该模型的有效性，并将其应用于富铝三元合金凝固过程的微观组织和微观偏析的模拟。模拟结果表明，该模型不仅能够模拟真实的枝晶形貌，而且能够定量预测多组分合金凝固过程中的微观偏析分布。
Driven by industrial demand, extensive efforts have been made to investigate microstructure evolution and microsegregation development during solidification of multicomponent alloys. This paper briefly reviews the recent progress in modeling of microstructures and microsegregation in solidification of multicomponent alloys using various models including micromodel, phase field, front tracking, and cellular automaton approaches. A two-dimensional modified cellular automaton (MCA) model coupled with phase diagram software PanEngine is presented for the prediction of microstructures and microsegregation in the solidification of ternary alloys. The model adopts MCA technique to simulate dendritic growth. The thermodynamic data needed for determining the dynamics of dendritic growth are calculated with PanEngine. After validating the model by comparing the simulated values with the prediction of the Scheil model for solute profiles in the primary dendrites as a function of solid fraction, the model was applied to simulate the microstructure and microsegregation in the solidification of Al-rich ternary alloys. The simulation results demonstrate the capabilities of the present model not only to simulate realistic dendrite morphologies, but also to predict quantitatively the microsegregation profiles in the solidification of multi-component alloys.