...
首页> 外文期刊>Computational Materials Science >A two-dimensional model for the quantitative simulation of the dendritic growth with cellular automaton method
【24h】

A two-dimensional model for the quantitative simulation of the dendritic growth with cellular automaton method

机译:用细胞自动机方法定量模拟树突生长的二维模型

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

A two-dimensional cellular automaton model was developed for simulating the diffusion-controlled dendritic growth in the low Péclet regime. The growth velocity of the solid/liquid interface was determined by the local solute diffusion, and the modified decentered square growth was improved to capture the first eight neighboring cells of the interface cell. In order to quantitatively validate the developed model, the free dendritic growth from an undercooled melt was simulated and compared with the classic Lipton-Glicksman-Kurz (LGK) analytical model. The results show that the predicted steady state tip velocity is in a reasonable agreement with the analytical value, and the dendritic growth can be quantitatively determined by the present model. Meanwhile, the simulation of the dendritic growth with random crystallographic orientation shows that the effects of the mesh dependency of the model on the growth kinetics and crystallographic orientation can be reduced to an accepted level. Moreover, the single dendritic growth and the multi-dendritic growth from an undercooled melt and the competitive dendritic growth in a unidirectional solidification were simulated and the dendritic growth features, such as crystallographic orientation, dendrite arm growing and coarsening, side branching, and arms fusion were graphically revealed.
机译:建立了二维细胞自动机模型,用于模拟低佩克莱特状态下扩散控制的树突生长。固/液界面的生长速度由局部溶质扩散确定,改进的偏心方形生长得到改善,以捕获界面单元的前八个相邻单元。为了定量验证开发的模型,模拟了过冷熔体的自由枝晶生长,并将其与经典的Lipton-Glicksman-Kurz(LGK)分析模型进行了比较。结果表明,所预测的稳态尖端速度与分析值合理吻合,并且可以通过本模型定量确定树枝状生长。同时,对具有随机晶体取向的枝晶生长的模拟表明,模型的网格依赖性对生长动力学和晶体取向的影响可以降低到可接受的水平。此外,模拟了过冷熔体的单树枝状生长和多树枝状生长,以及单向凝固过程中竞争性树枝状生长,并模拟了树枝状生长特征,例如晶体学取向,枝晶臂生长和粗化,侧枝和臂熔合。以图形方式显示。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号