Cellular automaton modelling for the deflection of columnar grains of high-carbon steel with melt flow

Cellular automaton modelling for the deflection of columnar grains of high-carbon steel with melt flow
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高碳钢柱状晶随熔体流动偏转的元胞自动机建模

DOI:
10.1080/03019233.2019.1665939
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发表时间:
2019-09
影响因子:
2.1
通讯作者:
Zhu Miaoyong
Zhu Miaoyong
中科院分区:
材料科学3区
文献类型:
--
作者:
Wang Zhaohui;Luo Sen;Wang Weiling;Zhu Miaoyong

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在熔体流动条件下生长的柱状晶的偏转是合金凝固组织的特征,对制品的性能有很大影响。采用元胞自动机(CA)方法建立了熔体流动中晶粒长大的模型。通过与解析模型的比较验证了该模型的有效性,并将其用于研究高碳钢中柱状晶的偏转。柱状晶的偏转角随流速的增大而增大,随熔体过冷度的增大而减小。在0.10 m s-1的流速和2°C的熔体过冷度下,实现了18.2°的最大偏转角。  模型预测的偏转角与经验值吻合较好。熔体流动被发现,以促进晶粒的优先生长方向朝着上游方向超过其他。这种流动影响的选择机制是柱状晶偏转的关键原因。
The deflection of columnar grains grown under melt flow is characteristic of the alloy solidification structure and strongly influences the performance of products. Here, a model of grain growth in melt flow was established with the cellular automaton (CA) method. After validation by comparison to an analytical model, the model was used to investigate the deflection of columnar grains in high-carbon steel. The deflection angle of columnar grains increases with the flow velocity and decreases with the melt undercooling. At the flow velocity of 0.10 m s–1 and the melt undercooling of 2°C, a maximum deflection angle of 18.2° is achieved. The deflection angles predicted by the model agree well with the empirical values. The melt flow was found to promote the grains with a preferred growth orientation towards the upstream direction over others. This flow-influenced selection mechanism is a key reason for the deflection of columnar grains.
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