Model for prediction of oxygen required in BOF steelmaking

Abstract

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.List of symbols c i oxygen consumed per unit mass of oxidised element i, Nm 3 kg 21 m i amount of oxidised element i, kg V balance, O 2 oxygen blowing quantity predicted from the oxygen balance model, Nm 3 V CO, O2 oxygen quantity consumed by postcombustion of carbon monoxide in the furnace hearth, Nm 3 V gas, O 2 amount of unused oxygen in the offgas, Nm 3 V O 2 oxygen blowing quantity predicted from the integrated model, Nm 3 V real, O 2 actual value of the oxygen blowing quantity, Nm 3 V regression, O 2 oxygen blowing quantity predicted from the linear regression model, Nm 3 V sinter ore, O 2 quantity of oxygen provided by the sinter ore, Nm 3 w r , w b weighting coefficients of the linear regression model and oxygen balance model

Physical and Mathematical Modeling of Multiphase Flows in a Converter

“…[49][50][51][52][53][54][55][56][57][58] Therefore, this paper will review the developments in physical modeling and computational simulations of the fluid flow behavior in BOF steelmaking process. Details of fundamental modeling methods, supersonic oxygen jet behavior, stirring and mixing characteristics in the bath, splashing and droplet generation behavior and energy transfer performance will be presented, and finally outlook and future trends will also be discussed.…”

An Improved Dynamic Model of the Vanadium Extraction Process in Steelmaking Converters

“…Asai and Szekely [12,13] put forward a mathematical model of the stainless steel decarbonizing process, based on the mass and heat balance of the system. Wang et al [14] obtained a multiple linear regression model to predict the oxygen blowing quantity by analyzing the factors that affect oxygen consumption during the basic oxygen furnace steelmaking process. The Nippon steel corporation [15] has developed an expert system for converter steelmaking.…”

Quality Monitoring for the Basic OxygenFurnace Steelmaking Process based on Nonlinear Filter

“…Many methodologies are used to solve the quality monitoring/analytics problem in the industrial production and commercial area [5][6][7]. Machine learning methods are used to data analytics in the industrial and other processes from the view of data [3,6,8,9]. And the predictive performance of the methods depends on the completeness of data.…”