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双辊薄带凝固过程的宏观-微观耦合数学模型
引用本文:杨明波,潘复生,彭晓东,丁培道.双辊薄带凝固过程的宏观-微观耦合数学模型[J].重庆大学学报(自然科学版),2005,28(5):39-44.
作者姓名:杨明波  潘复生  彭晓东  丁培道
作者单位:[1]重庆工学院,重庆400050//重庆大学,重庆400030 [2]重庆大学,重庆400030
摘    要:以热焓法处理结晶潜热和以假设的流线边界划分网格节点,在对KGT枝晶生长动力学模型进行修正的基础上,引入异质形核模型和柱状晶等轴晶转变(CET)模型,建立了双辊薄带凝固过程的宏观-微观耦合数学模型.同时,以固相分数为媒介,采用宏观微观不同的网格尺寸和时间步长,通过对柱状晶生长前沿的追踪,实现了宏观-微观模型的耦合求解.实验表明:数学模型预测的薄带凝固组织中的柱状枝晶间距和取向度与实测值基本吻合,说明所建数学模型是可靠的,可用此模型研究工艺因素变化对薄带凝固组织的影响.

关 键 词:双辊薄带  凝固组织  数值模拟  数学模型  耦合  双辊薄带  凝固过程  微观模型  耦合数学模型  Strip  Thin  Solidification  Process  Mathematical  Model  Coupling  影响  变化  工艺因素  研究  实测值  取向度  枝晶间距  凝固组织  预测  实验  耦合求解
文章编号:1000-582X(2005)05-0039-06
修稿时间:2005年2月26日

Macroscopic and Microscopic Coupling Mathematical Model for Solidification Process of Twin-roll Thin Strip
YANG Ming-bo,PAN Fu-sheng,PENG Xiao-dong,DING Pei-dao.Macroscopic and Microscopic Coupling Mathematical Model for Solidification Process of Twin-roll Thin Strip[J].Journal of Chongqing University(Natural Science Edition),2005,28(5):39-44.
Authors:YANG Ming-bo  PAN Fu-sheng  PENG Xiao-dong  DING Pei-dao
Abstract:A macroscopic and microscopic coupling mathematical model for solidification process of twin-roll thin strip is developed. In the model, the latent heat is treated by the enthalpy method, and the grid and node are divided by assumed streamline boundary. The heterogeneous nucleation and the columnar-equiaxed transform(CET)model are introduced, together with the revison of the dendrite growth dynamic model of KGT. With the help of solid fraction, the coupling of the macro/micro aspects is realized by using different grid-sizes and time-steps, macro and micro, together with the columnar dendrite front tracing. The columnar dendrite arm spacing and deflection angle calculated by proposed model are in agreement with the experimental ones. Therefore, the model is proved to be reliable, and it can be used to predict the effects of the processing parameters on the solidification structure of twin-roll thin strips.
Keywords:twin-roll thin strip  solidification structure  numerical simulation  mathematical model  coupling
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