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本文基于实验结果和生产实践,借助多元逐步回归分析等方法,得出了不同碱度区域内反映的Lp极值模型:揭示了Lp与(ΣFeo)或(TFe)之间的极值关系存在下述规律:(1)有一个与Lp最大值对应存在的极值特征准数和(ΣFeO)最佳值;(2)定义该特征准数的变量应根据渣系的特征而定,如本渣系取[(％CaO)+0.7(％MgO)]/(％TFe),CFS渣系取(％CaO)/(％TFe);(3)其特征准数值随渣系或碱度范围不同而不同,在一定的碱度范围内则为定值,并在 Cao/ SiO_2=0.9～1.9,[(％CaO)+0.7(％MgO)/(％TFe)准数值最大,以及在CaO/SiO_2=0.91～1.4范围,(ΣFeO)最佳值最小.可以期望本文提出的Lp极大值模型和极值特征准数对优化炼钢的脱磷工艺具有重要的理论和经济意义。
Based on the experimental results and production practices, the Lp extremum model, which is reflected in different alkalinity regions, is obtained by means of multivariate stepwise regression analysis. The Lp extremum model is revealed in the presence of the extremum relationship between Lp and (ΣFeo) or (TFe) The law: (1) There is an extremum characteristic (ΣFeO) optimal value corresponding to the maximum value of Lp; (2) The variables defining the characteristic number should be based on the characteristics of the slag system, (% CaO) / (% TFe) and (% CaO) / (% TFe), respectively; (3) Which is the highest in the range of CaO / SiO_2 = 0.9 ~ 1.9 and the highest in [(% CaO) +0.7 (% MgO) / (% TFe) 0.91 ~ 1.4, the optimal value of (ΣFeO) is the minimum.It can be expected that the proposed Lp maxima model and the extremum of characteristic numbers have important theoretical and economic significance for optimizing the dephosphorization process of steelmaking.