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On the application of physical and mathematical modeling to predict tundish performance.

机译:关于物理和数学模型在中间包性能预测中的应用。

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摘要

In the continuous casting process, the tundish not only serves as an intermediate buffer, but it also acts as a useful reactor for liquid steel refining. Modern tundishes are now designed to carry out different metallurgical operations, such as inclusion separation and flotation, alloy trimming, calcium doped inclusion modification, and thermal homogenization. To carry out such operations effectively, fluid flow inside a tundish plays an important role. It is now a proven fact that the insertion of different types of flow modifying devices can alter flow patterns within the tundish and thus affect the performance of the tundish significantly. Due to adverse operating conditions, direct experimental investigations are difficult to carry out. For that reason, physical and mathematical modeling is predominantly used to study tundish performance. Parameters like 'Residence Time Distribution' (RTD), tracer dispersion, velocity distribution, inclusion separation, etc. were mostly used to study and predict the performance of a tundish. Slag entrainment, though, is a vital problem during ladle changing that has been given less attention. In this research, it is intended to form a physical and mathematical modeling framework, to study and predict the performance of a 12 t, delta shaped, four strand, billet casting tundish. A full scale water model was studied both physically and mathematically. The phenomenon of slag entrainment occurring during a ladle changing operation was used as the key parameter to assess tundish performance. The amount of slag entering the 'Submerged Entry Nozzle' during a ladle change was measured to quantify the performance of different flow modifying arrangements. It is believed that the results of tests carried out under transient conditions can give a fairly good idea about tundish performance at steady state. To strengthen this belief, mathematical modeling of inclusion separation and residence time distribution at steady state was also carried out and trends in the results were compared. The tracer dispersion study was also carried out, using both physical and mathematical modeling. Additionally, non-isothermal mathematical and physical modeling experiments were also carried out to study the effect of temperature changes in the entering flow of liquid steel, using the full scale water model-analogue.
机译:在连续铸造过程中,中间包不仅用作中间缓冲液,而且还用作液态钢精炼的有用反应器。现在,现代隧道炉被设计用于执行不同的冶金操作,例如夹杂物的分离和浮选,合金修整,掺杂钙的夹杂物改性和热均质化。为了有效地进行这种操作,中间包内的流体流动起着重要的作用。现在已经证明的事实是,插入不同类型的流量调节装置会改变中间包内的流型,从而显着影响中间包的性能。由于不利的操作条件,难以进行直接的实验研究。因此,物理模型和数学模型主要用于研究中间包性能。诸如“驻留时间分布”(RTD),示踪剂扩散,速度分布,夹杂物分离等参数主要用于研究和预测中间包的性能。然而,夹渣是钢包更换过程中的一个重要问题,已经很少受到关注。在本研究中,旨在形成一个物理和数学建模框架,以研究和预测12吨,三角形,四股坯锭中间包的性能。在物理和数学上都研究了全尺寸水模型。钢包更换过程中夹渣现象被用作评估中间包性能的关键参数。测量钢包更换过程中进入“浸入式喷嘴”的矿渣量,以量化不同流量调节装置的性能。可以认为,在瞬态条件下进行的测试结果可以很好地说明中间包在稳态下的性能。为了增强这一信念,还对稳态下的夹杂物分离和停留时间分布进行了数学建模,并对结果趋势进行了比较。还使用物理和数学模型进行了示踪剂扩散研究。另外,还使用非等温数学和物理建模实验,使用全尺寸水模型模拟研究了温度变化对钢水进入流的影响。

著录项

  • 作者

    Ray, Shamik Kumar.;

  • 作者单位

    McGill University (Canada).;

  • 授予单位 McGill University (Canada).;
  • 学科 Engineering Metallurgy.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 233 p.
  • 总页数 233
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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