连铸过程中动态胀形引起的表面水平面波动建模

B. Thomas, B. Petrus, D. Stephens, J. Bentsman, L. Chen, M. Milligan, Zhelin Chen, Z. Xu
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摘要

在连铸钢坯时,结晶器水平的波动会引起夹渣、钢坯表面裂纹,严重时还会引起爆裂。结晶器液位波动的主要原因之一是动态胀形,这是由于结晶器下方喷雾冷却区中钢条的周期性挤压引起的。本文提出了两种预测动态胀形对液位变化影响的模型。第一个模型基于两个子模型估计由于动态胀形引起的模具水平变化:1)建立了连铸过程的计算热流模型,该模型将钢坯表面温度和壳层厚度输出到一个经验方程中,以估计稳态铸造条件下最大内辊胀形幅度;2)建立了一个解析几何模型,该模型基于第一个模型的输出和假设的冷冻分数历史,计算出胀形壳的动态形状和由此产生的结晶器水平波动。第二个模型是对动态胀形效应的简单分析计算,该计算基于两种工厂测量值之间的差异:模具液位传感器数据和塞杆位置,以及一个模型,该模型预测了在瞬态条件下,由测量的塞杆运动引起的从中间包通过SEN进入模具的入口流量变化的影响,包括侵蚀的影响。对这两种模型的预测结果进行了比较,从而对动态胀形引起的结晶器水平波动有了新的认识。目前,这种比较既有数量上的相似之处,也有明显的差异。讨论了提高两种模型精度的步骤。连铸钢的质量取决于对许多不同现象的控制。也许影响钢材质量的最重要的因素是控制模具液位瞬态波动的能力。这些波动导致严重的质量问题,如表面缺陷和形成夹杂物的模具渣的夹带。液位波动也会导致较大的有害渣圈,从而阻止适当的液态模渣渗透。严重的模位波动也会造成深层的振荡痕迹,增加表面裂纹[1]、[2]的发生率和爆裂[3]的几率。目前,
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Modeling of the Dynamic-Bulging-Induced Surface Level Fluctuations in Continuous Casting
Mold level fluctuations in continuous casting of steel slabs give rise to slag inclusions, strand surface cracks, and, in severe cases, breakouts. One of the main causes of mold level fluctuations is dynamic bulging, which arises due to periodic squeezing of the strand in the spray cooling zones beneath the mold. This paper presents two models to predict the effect of dynamic bulging on liquid level variations. The first model estimates mold level variations due to dynamic bulging based on two submodels: 1) a computational heat flow model of the continuous casting process that outputs strand surface temperature and shell thickness to an empirical equation to estimate the maximum inner-roll bulging amplitude under steady casting conditions, and 2) an analytical geometric model that calculates the dynamic shape of the bulged shell and the resulting mold level fluctuations, based on the output from the first model and an assumed frozen fraction history. The second model is a simple analytical calculation of the dynamic bulging effect based on the difference between two plant measurements: the mold level sensor data and the stopper rod position, together with a model that predicts the effect of inlet flow variations from the tundish through the SEN into the mold under transient conditions, caused by the measured stopper rod movements, including the effects of erosion. The predictions from these two models are compared to gain new insight into the mold level fluctuations caused by dynamic bulging. At present, this comparison shows quantitative similarities, but also noticeable discrepancy. Steps to improve the accuracy of both models are discussed. INTRODUCTION The quality of steel manufactured by continuous casting depends on controlling many different phenomena. Perhaps the most important factor affecting steel quality is ability to control transient fluctuations of the mold level. These fluctuations lead to severe quality problems, such as surface defects and the entrainment of mold slag that forms the inclusions. Level fluctuations also lead to large, detrimental slag rims, which prevent proper liquid mold slag infiltration. Severe mold level fluctuations also cause deep oscillation marks and increase the incidence of surface cracks [1], [2] and the chance of breakouts [3]. Currently,
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