动态炼钢模型(Dynamic steelmaking model can make adjustments to some parameters during the oxygen blow based on certain blow measurements. 动态炼钢模型可以依据某些吹炼检测值对吹氧期间的一些技术参数做出调整。)
数学模型(The agreement between the average heat fluxes in the mold calculated by the mathematical model and by the cooling water temperature rise is particular good for the trials with the stainless steel. 对使用不锈钢所进行的试验而言，根据数学模型计算出的结晶器内平均热通量与根据冷却水温度升高计算出的结晶器内平均热通量十分吻合。)
热通量数学模型(To validate the predictions of the mathematical model of heat flux, an average heat flux in the mold was calculated and compared to the values deduced from the cooling water temperature rise. 为了验证热通量数学模型的预测，对结晶器内平均热通量进行了计算并与根据冷却水温度升高推导出的数值进行了比较。)
神经网络基漏钢预报模型(In an effort to minimize false alarms, the following two approaches were taken ： (1) The narrow face thermocouples were repositioned to the center of the narrow face, and (2) a neural-net based BOP model was developed. 在尽量减少误警报的努力中，曾采取了以下两个方法：①将窄面处的热电偶重新配置到窄面中心位置；②研发神经网络基漏钢预报模型。)
静态装料模型(The static charge model uses initial and final information about the heat to calculate the amount of charge and the amount of the oxygen required. 静态装料模型利用一个炉次的起始和终了数据即可计算出炉料装人量和氧气需求量。)
系列槽模型(一种用于分析变钢种过程的模型: Therefore, it is desirable to develop a simpler and faster means of analyzing the grade change process. With this aim in mind, a simple tanks-in-series model has been developed to account for the grade change process. 因此，人们迫切需要开发一种简洁、快速的分析变钢种过程的方法。基于这一目标，现已开发出一种简易的系列槽模型用于说明变钢种过程。)
湍流模型(In addition to studying RTD theoretically, predicted tracer response curves at the tundish nozzles have been compared with corresponding experimental measurements in order to assess the reliability of the turbulent flow model. 除了从理论上对停留时间分布进行研究外，还完成了中间包水口处示踪剂响应预测曲线与相应的实验测量值的比较，以便对湍流模型的可靠性做出评估。)
