Dendritic model for macrosegregation prediction of large scale castings

Dendritic model for macrosegregation prediction of large scale castings
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用于大型铸件宏观偏析预测的树枝状模型

DOI:
10.1016/j.jmatprotec.2015.08.020
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发表时间:
2016
影响因子:
6.3
通讯作者:
Li JianGuo
Li JianGuo
中科院分区:
材料科学1区
文献类型:
--
作者:
Ge HongHao;Li Jun;Han XiuJun;Xia MingXu;Li JianGuo

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采用考虑传热守恒、溶质传递守恒、熔体对流、晶粒形核与长大、晶体沉降等因素的枝晶模型预测大型铸件的宏观偏析。该模型通过Pb-5 wt.% Sn经典基准实验,然后用于预测3.3吨工业Fe-4.5wt.% C锭。该模型考虑了二次枝晶臂间距(SDAS)的影响,发现SDAS对液相流动起着重要作用,并影响偏析的最终特征。本文提出了由枝晶间流动不稳定性引起的准A型偏析。在热顶下方存在负偏析区,铸锭尺寸效应比冷却传导对形成的影响更大。
A dendritic model with the consideration of heat transfer conservations, solute transfer conservations, melt convection, grain nucleation and growth, and the sedimentation of crystal was introduced to predict the macrosegregation of large scale casting. The model was validated by a Pb-5 wt.% Sn classic benchmark experiment and then used to predict the macrosegregation of a 3.3-ton industrial Fe-4.5 wt.% C ingot. Secondary dendrite arm spacing (SDAS) was considered in present model and SDAS was found plays an important role on liquid flow and affects final characteristic of segregation. The quasi A-segregation caused by the instability of interdendritic flow was presented in this study. A negative segregation zone under hot top was presented and the ingot size effect plays more important role than cooling conduction on the formation.
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发表时间: 2010-11
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