针对连铸生产中拉速及浇注温度波动频繁，导致静态二冷配水控制下铸坯表面温度波动过大的问题，提出了一种基于有效拉速、有效过热度的新型二冷控制模型． 该模型不需要在线实时计算温度场，只需要在已有参数控制模型的基础上，实时计算有效拉速及有效过热度即可对连铸坯的表面温度进行很好的控制． 计算机仿真实验表明，该控制模型对连铸过程中拉速及过热度的变化具有良好的适应能力，满足连铸生产的要求，而且模型简单易行．

The liquidus temperature of steel is greatly affected by its chemical composition; therefore, the value of the liquidus temperature can vary among different types of steel. In this study, on the basis of the concept of differentiation, the Fe-i binary phase diagram is analyzed using Photoshop image processing software. The effects of eleven common alloying elements (C, Si, Mn, P, S, Ca, Ni, Cu, Cr, Nb, and Mo, whose content is between 0%～4%) on the melting point of pure iron are analyzed. This analysis proves the following assumption to be incorrect: the relationship between the change in liquidus temperature and the content of element i is a linear relationship; this assumption is the basis of traditional liquidus calculation models. A new model for calculating the liquidus temperature of steel is established in this study. As compared to data from other literature, the model proposed in this paper has good generality and the calculation error of the liquidus temperature of steel is between ?3 and 4 °C, which is acceptable. A statistical analysis of the experimental data for different steel grades (obtained from Laiwu Special Steel) using the developed model showed that 87.2% of the absolute deviation values of the temperature are within 4°C. This result shows the model to be both reasonable and credible.

The process model for BOF process can be applied to predict the liquid steel composition and bath temperature during the whole steelmaking process. On the basis of the traditional three-stage decarburization theory, the concept of mixing degree was put forward, which was used to indicate the effect of oxygen jet on decarburization. Furthermore, a more practical process model for BOF steelmaking was developed by analyzing the effect of silicon, manganese, oxygen injection rate, oxygen lance height, and bath temperature on decarburization.Process verification and end-point verification for the process model have been carried out, and the verification results show that the prediction accuracy of carbon content reaches 82.6% (the range of carbon content at the end-point is less than 0.1wt%) and 85.7% (the range of carbon content at end-point is 0.1wt%-0.7wt%) when the absolute error is less than 0.02wt% and 0.05wt%, respectively.

By analysing the factors that affect oxygen consumption during the basic oxygen furnace steelmaking process, a multiple linear regression model for predicting the oxygen blowing quantity was obtained on the basis of actual production data. Additionally, an oxygen balance model for prediction of the oxygen blowing quantity was established on the basis of oxygen balance. These two models were amalgamated to establish an integrated model for prediction of the oxygen blowing quantity. The average relative error of the integrated model is ,1%, and the hit rate of the integrated model is 97?14% when the relative errors of the model are within 5%.Relative to the multiple linear regression and the oxygen balance models, the integrated model may provide a more accurate prediction of the oxygen blowing quantity, and thus represents a good reference point for actual production.

在功能可靠度和时产率可靠性评价指标的基础上，结合钢铁生产过程系统能源消耗状况的分析，建立了能耗可靠性评价方法，提出了能耗可靠度、工序能效比及相近度等评价指标体系来描述钢铁生产过程系统的能耗可靠性．运用贡献指数的概念定量分析了后两者对能耗可靠度的影响，并应用于国内某特殊钢厂电弧炉生产过程单元． 结果表明: 该电弧炉工序的能耗可靠度由2008 年的0. 64 提高到2009 年的0.72．另外，还分析了该厂2006—2009 年电炉工序能耗可靠度变化的主要原因．