Method for dynamically predicting components and temperature of converter blowing CO2 molten steel in real time

Abstract

The invention discloses a real-time dynamic prediction method for components and temperature of molten steel for blowing CO2 into a converter. The method comprises the following steps: establishing a model database for predicting the components and temperature of the molten steel for blowing CO2 into the converter; establishing a real-time prediction model of the components and the temperature of the molten steel for blowing CO2 in the converter, performing category division according to the types, the proportions and the flows of bottom blowing and top blowing gases in different time periods, and performing real-time prediction on each category by using different sub-models; predicting the molten steel component and temperature in real time according to the real-time dynamic prediction model for the molten steel component and temperature of the converter blowing CO2; and the database is updated in real time after abnormal heat data is removed, and correction of the correction term is carried out under a certain condition. According to the method, the molten steel components and the temperature in the converter blowing CO2 smelting process are dynamically predicted in real time, the problems that the smelting period is prolonged, endpoint component prediction is inaccurate, converter endpoint peroxidation and raw material waste are caused by inapplicability of an original converter blowing O2 model are solved, the smelting time is shortened, the production cost is reduced, and the method is suitable for industrial production. And black box and experience operation of CO2 injection of the converter are avoided, and the terminal point hit rate is increased.

Description

technical field [0001] The invention belongs to the technical field of converter steelmaking molten steel composition and temperature prediction, and in particular relates to a CO2 injection in a converter 2 A real-time dynamic prediction method for molten steel composition and temperature. Background technique [0002] Converter steelmaking is one of the most important links in steel production. The tasks of dephosphorization, decarburization and molten pool heating during converter steelmaking mainly depend on oxygen supply. With the acceleration of the smelting rhythm and the continuous improvement of the oxygen supply intensity, it is easy to cause problems such as unstable dephosphorization, excessive smoke and dust, and serious peroxidation of molten steel. Based on this, some researchers began to mix a certain proportion of CO through top blowing and bottom blowing in converter steelmaking. 2 As a dilution and weak oxidant, and successfully completed the task of ste...

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Problems solved by technology

[0003]Because the converter did not inject CO2 before, the original molten steel composition and temperature prediction model did not take into account and could not predict the CO injection 2 The material balance caused by input carbon atoms and oxygen atoms and the energy balance change caused by the endothermic effect of the reaction often lead to waste of heat supplement because there is no reference when adding heat supplement; In addition, because the original model did not take into account the oxygen atoms brought in by CO2, after using CO2 to replace part of O2, the model considers The O2 flow rate is reduced, the predicted blowing time is increased, the end point of the converter is severely overoxidized, and the smelting time is prolonged; The used process parameters are different, resulting in a significant drop in the prediction hit rate of the original prediction model, and the metallurgical effect obtained when the converter is injected with CO2 is unstable

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