A continuous increase in demand for steel usage exists in modernized nations; new production techniques, such as the Continuous Casting process emerged to meet present requirements. The intent of the Continuous Casting process lies in overcoming the disadvantages in ingot casting: product quality, optimal energy usage, and cost. The microstructure formed during the solidification defines the quality of the steel. Therefore, the prediction of microstructural features becomes essential in the Continuous Casting process (Chakraborty and Dutta 2000).;Present research work establishes a relationship between the Secondary Dendrite Arm Spacing (SDAS), the Area of Mushy Zone, and the Continuous Casting variables in Low Carbon Steels during the solidification process in the mold zone. A Finite Element analysis of the heat flow equation, coupled with the solute distribution model and the dendrite growth model, enable the determination of the temperature profiles and dendrite growth.;The results from the mathematical model enable the determination of the local solidification time from the temperature profiles which in turn, enables determination of the Secondary Dendrite Arm Spacing (SDAS).;The CONBCAST.FOR program is the software developed in this work to analyze the effects of process variables on the Secondary Dendrite Arm Spacing ( SDAS) and Volume of the Bleed in Continuous Cast Low Carbon Steel billets. Analysis of the results indicates that lower casting speed yields lower Secondary Dendrite Arm Spacing (SDAS).;A new concept introduced in this work analyzes the relationship between the Area of Mushy Zone with the Volume of the Bleed and Secondary Dendrite Arm Spacing (SDAS). A qualitative analysis performed in three different cases concludes that lower pouring temperature and lower casting speed produce a better quality of billets by way of reduction in Secondary Dendrite Arm Spacing (SDAS) and Volume of the Bleed.
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机译：现代化国家对钢铁使用的需求不断增加。为了满足当前要求，出现了新的生产技术，例如连铸工艺。连续铸造工艺的目的在于克服铸锭铸造的缺点：产品质量，最佳能源使用和成本。凝固过程中形成的微观结构决定了钢的质量。因此，在连铸过程中，微观组织特征的预测变得至关重要（Chakraborty and Dutta 2000）。；目前的研究工作建立了次生枝晶臂间距（SDAS），糊状区的面积与连铸坯中的连铸变量之间的关系。低碳钢在模具区的凝固过程中。对热流方程进行有限元分析，再结合溶质分布模型和枝晶生长模型，可以确定温度分布和枝晶生长。;数学模型的结果可以确定热凝固过程中的局部凝固时间。温度分布图，从而可以确定次级枝晶臂间距（SDAS）。CONBCAST.FOR程序是本工作中开发的软件，用于分析过程变量对次级枝晶臂间距（SDAS）和体积的影响。低碳连续铸造低碳钢坯中的出血。结果分析表明，较低的铸造速度会产生较低的二次枝晶臂间距（SDAS）。;这项工作中引入的新概念分析了糊状区域的面积与出血量和二次枝晶臂间距（SDAS）之间的关系。 。在三种不同情况下进行的定性分析得出的结论是，较低的浇铸温度和较低的浇铸速度可通过减少二次枝晶臂间距（SDAS）和减少出血量来提高坯料质量。
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