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Modeling and Predication of Shrinkage Porosity Formation in Steel Ingot

机译:钢锭收缩孔隙形成的建模与预测

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In order to predict distribution of shrinkage porosity in steel ingot, the feeding process in mushy zone during solidification of steel ingot was analyzed and modeled. G~2 ·L~(-5/3) (where G is temperature gradient and L is cooling rate) was put forward as shrinkage porosity criterion. Effects of liquid fraction and specific surface area of dendrites on permeability were both taken into consideration. Integrals with respect to interdendritic feeding flow velocity and pressure drop were evaluated. The derived expression reveals that: the smaller C~2·L~(-5/3) value is, the higher the critical temperature can be, and the severer shrinkage porosity would occur. Predicted distribution of shrinkage porosity in a 5.5 ton 2Cr13 ingot using criterion G~2·L~(-5/3) < 143 agrees well with experimental sectioning results. Using criterion G~2 · L~(-5/3), an optimization of the 5.5 ton 2Cr13 ingot design was carried out aiming at eliminating shrinkage porosities in the ingot and improving metal yield effectively.
机译:为了预测钢锭收缩孔隙的分布,对钢锭凝固过程中糊状区的进料过程进行了分析和建模。提出了G〜2·L〜(-5/3)(其中G为温度梯度,L为冷却速率)作为收缩率的判据。都考虑了液体分数和树枝状晶体的比表面积对渗透率的影响。评估了关于树突间进料流速和压降的积分。推导的表达式表明:C〜2·L〜(-5/3)值越小,临界温度越高,收缩孔隙率越严重。采用判据G〜2·L〜(-5/3)<143预测5.5吨2Cr13铸锭的收缩孔隙率分布与实验断面结果吻合良好。使用标准G〜2·L〜(-5/3),对5.5吨2Cr13铸锭设计进行了优化,目的是消除铸锭中的收缩孔隙并有效提高金属产量。

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