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Computer modeling of copper microsegregation in continuously cast steel billets.

机译:连续铸造钢坯中铜微偏析的计算机模型。

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摘要

The manufacturing of high quality steel products will be possible only if the steel coming out of steelmaking furnaces is of acceptable cleanliness. Deleterious effects caused by residual elements, such as copper, must be identified in order to keep the effects within acceptable limits. In this regard, understanding the mechanism of microsegregation during solidification of steel is essential.; This research establishes an estimate of copper microsegregation in low carbon steels by performing a finite element analysis of heat flow and coupling with the Giovanola-Kurz model for copper redistribution in steel. It is necessary that the heat flow calculations and the microsegregation calculations are coupled because the rate of latent heat liberation is affected by the solute redistribution process, while the solute redistribution process depends on the cooling rates.; The results deduced from the model demonstrate the effect of the initial concentration of copper, Peclet number, dendrite tip radius, dendrite tip concentration, and dendrite tip temperature in the microsegregation of copper in the steel.; At low velocities, the Peclet number that characterizes the response of the solidification interface instability sharply decreases with a decrease in interface velocity. The Peclet number is lower for higher amounts of copper in the steel.; The dendrite tip radius is infinite at extremely low interface velocities indicating a transformation to a planar interface. In the dendritic regime, the tip radius decreases with an increase in the interface velocity. In a certain velocity the dendrite tip radius decreases with the increment of copper in the steel. Therefore, by having a smaller radius, there is more chance for the diffusion of copper in steel and, eventually, having less copper microsegregation.; The dendrite tip concentration increases with an increase in the interface velocity. The amount of copper in the dendrite tip increases with an increase in the interface velocity; and, at higher initial percentage of copper in steel, the amount of copper increment is higher.; The dendrite tip temperature decreases with an increase in the interface velocity and is lower for higher amounts of copper in the steel.; The results of this study also show that pouring temperature and, particularly, casting velocity of steel billet play an important role in the microsegregation of elements in steel. By selecting the pouring temperature and the casting velocity as low as possible, a lower amount of copper microsegregation can be achieved.
机译:只有从炼钢炉出来的钢具有可接受的清洁度,才有可能制造高质量的钢产品。必须确定由残留元素(例如铜)引起的有害影响,以使影响保持在可接受的范围内。在这方面,了解钢凝固过程中的微偏析机理至关重要。这项研究通过对热流进行有限元分析,并结合Giovanola-Kurz模型对钢中铜的再分布进行评估,从而建立了低碳钢中铜的微观偏析的估计。由于潜热释放速率受溶质再分配过程影响,而溶质再分配过程取决于冷却速率,因此有必要将热流计算与微偏析计算结合起来。从模型推导的结果证明了铜的初始浓度,Peclet数,枝晶尖端半径,枝晶尖端浓度和枝晶尖端温度对钢中铜的微偏析的影响。在低速下,表征凝固界面不稳定性响应的Peclet数会随着界面速度的降低而急剧下降。当钢中的铜含量较高时,Peclet值较低。在极低的界面速度下,枝晶尖端半径是无限的,这表明已转变为平面界面。在树突状态下,尖端半径随着界面速度的增加而减小。在一定的速度下,枝晶尖端半径随着钢中铜的增加而减小。因此,通过具有较小的半径,有更多的机会使铜在钢中扩散,并最终使铜的微观偏析减少。枝晶尖端浓度随着界面速度的增加而增加。枝晶尖端的铜含量随着界面速度的增加而增加。并且,在钢中铜的初始百分比较高的情况下,铜的增量量较高。枝晶尖端温度随着界面速度的增加而降低,而钢中铜含量越高,枝晶尖端温度越低。这项研究的结果还表明,浇铸温度,尤其是钢坯的浇铸速度在钢中元素的微偏析中起着重要作用。通过选择尽可能低的浇铸温度和浇铸速度,可以实现较少量的铜微偏析。

著录项

  • 作者

    Shahhosseini, Ali Mehran.;

  • 作者单位

    Lamar University - Beaumont.;

  • 授予单位 Lamar University - Beaumont.;
  • 学科 Engineering Metallurgy.; Engineering Mechanical.; Engineering Materials Science.
  • 学位 D.E.
  • 年度 1999
  • 页码 104 p.
  • 总页数 104
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 冶金工业;机械、仪表工业;工程材料学;
  • 关键词

  • 入库时间 2022-08-17 11:48:14

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