A coupled finite element cellular automaton model to predict thermal history and grain morphology of Ti-6Al-4V during direct metal deposition (DMD)
A coupled finite element cellular automaton model to predict thermal history and grain morphology of Ti-6Al-4V during direct metal deposition (DMD)
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DOI：
10.1016/j.addma.2016.04.004
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发表时间：
2016-07-01
影响因子：
11
通讯作者：
Taminger, Karen
中科院分区：
文献类型：
--
作者：
Zhang, Jingwei;Liou, Frank;Taminger, Karen
在本文中，预测模型的基础上的元胞自动机（CA）-有限元（FE）方法已被开发来模拟金属凝固过程中的热历史和微观结构演变的激光增材制造工艺。设计了宏观有限元计算，以更新温度场并模拟高冷却速率。在微观CA模型中，异质形核点，择优生长取向，和枝晶晶粒生长进行了模拟。CA模型能够显示相邻胞的截留以及过冷度与晶粒长大速率之间的关系。该模型预测了沉积过程中凝固阶段的枝晶晶粒尺寸和形态演变。晶粒形貌分析结果得到了实验的验证。(C)© 2016 Elsevier B. V.版权所有。
In this paper, a predictive model based on a cellular automaton (CA)-finite element (FE) method has been developed to simulate thermal history and microstructure evolution during metal solidification for a laser-based additive manufacturing process. The macroscopic FE calculation was designed to update the temperature field and simulate a high cooling rate. In the microscopic CA model, heterogeneous nucleation sites, preferential growth orientation, and dendritic grain growth were simulated. The CA model was able to show the entrapment of neighboring cells and the relationship between undercooling and the grain growth rate. The model predicted the dendritic grain size, and morphological evolution during the solidification phase of the deposition process. The grain morphology result has been validated by the experiment. (C) 2016 Elsevier B.V. All rights reserved.