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Influence of Superheat on Macrosegregation in Continuously Cast Steel Billet from Statistical Maximum Viewpoint

机译:过热对统计最大观点持续铸钢坯料宏指令格的影响

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The statistics of extreme values (SEV) and the generalized Pareto distribution (GPD) are introduced to obtain the predicted maximum carbon content and represent the macrosegregation degree along the casting direction in continuous casting billets (represented by 82B cord steel). Subsequently, the influence mechanism of the superheat on macrosegregation has been investigated. It’s found that the SEV and the GPD methods can correctly obtain the predicted maximum carbon content and the results obtained by the SEV method increase linearly with the return period, while the GPD method can calculate the upper limit value of carbon content. The stochastic mathematical methods can get rid of the limitations of the sampling length and analysis area. During the exploration of the superheat influence mechanism based on the results obtained by these two methods, lower superheat can increase the secondary dendritic arm spacing (SDAS) and make the enriched carbon element easier concentrating on the centerline, resulting in centerline segregation and the increase of the corresponding result in the centerline. Under higher superheat condition, the segregation will be mainly represented as V-shaped segregation due to the decrease of the SDAS, leading to the increase of corresponding result in the off-center position.
机译:引入极端值(SeV)和广义帕鸟分布(GPD)的统计,以获得预测的最大碳含量,并在连续铸造坯料中沿铸造方向代表沿铸造方向的宏指定度度(由82b绳索表示)。随后,研究了过热对宏指令中的影响机理。结果发现,eV和GPD方法可以正确地获得预测的最大碳含量,并且通过返回时间线性地增加了通过返回时间来增加的结果,而GPD方法可以计算碳含量的上限值。随机数学方法可以摆脱采样长度和分析区域的局限性。在基于这两种方法获得的结果的超热影响机理探索期间,较低的过热可以增加二级树突臂间距(SDA)并使富集的碳素更容易集中在中心线上,导致中心线隔离和增加中心线的相应结果。在更高的超热条件下,由于SDA的减少,分离将主要表示为V形偏析,导致偏心位置的相应结果的增加。

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