论文部分内容阅读
本文对5吨氧气底吹转炉提铌过程数据用FORTRAN语言在TQ-16计算机上进行铌行为的静态分析和动态模拟。介绍计算机上所用方法的概要;其中有多元线性回归分析法,微分方程数值解与单形,(SimDlex)优化法相结合的常微分方程组的参数估计法。静态分析方面,用回归分析研究各冶金参数或参数集团间的相互关系,提出提铌终点时铌氧化率对碳氧化率,炉渣碱度;渣中铌磷比对碱度;以及铌在渣钢间分配系数的经验回归方程。动态分析方面提出底吹转炉去铌过程的数学模型,用微分方程数值解与单形优化法相结合的参数估计法估计模型参数,并进行模拟。
In this paper, five tons of oxygen bottom blowing niobium process data using FORTRAN language on the TQ-16 computer niobium static behavior analysis and dynamic simulation. A summary of the methods used in computers is presented. Among them, the method of parameter estimation for ordinary differential equations combined with multivariate linear regression analysis, numerical solution of differential equations, and simplex (SimDlex) optimization methods. In the static analysis, regression analysis was used to study the correlation between metallurgical parameters and parameter groups. The results showed that the oxidation rate of niobium to carbon oxidation rate and slag basicity at the end of niobium, alkalinity of niobium and phosphorus in slag, and niobium in slag steel Empirical regression equation between distribution coefficients. In the aspect of dynamic analysis, a mathematic model of the process of removing niobium at the bottom of the converter is proposed. The parameters of the model are estimated by using the parameter estimation method combining the numerical solution of the differential equation and the single-form optimization method, and the simulation is carried out.