Reaction Model for Carbon, Manganese, and Oxygen in Bottom Blowing with Mixed Gas in Final Stage of Steel Refining in Converter

Kato, Yoshiei; Okuda, Haruji

doi:10.2355/isijinternational.43.1710

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…10,11 Based on the oxygen balance, an oxygen balance model was established. The input items include oxygen injected into the molten bath and that provided by oxidants that are added into the converter; whereas, the output items for oxygen include oxygen consumed by oxidation of carbon, silicon, manganese, phosphorus, iron, etc., unused oxygen in the offgas and oxygen consumed by post-combustion of carbon monoxide in the furnace hearth.…”

Section: Oxygen Balance Modelmentioning

confidence: 99%

“…The oxygen blowing quantity depends largely on the amount of elements oxidised in the hot metal, the amount of oxidised iron in the dust, amount of carbon oxidised in line, quantity of unused oxygen in the offgas and the amount of oxidants added to the converter. 10 10,11 Based on the oxygen balance, an oxygen balance model was established. The input items include oxygen injected into the molten bath and that provided by oxidants that are added into the converter; whereas, the output items for oxygen include oxygen consumed by oxidation of carbon, silicon, manganese, phosphorus, iron, etc., unused oxygen in the offgas and oxygen consumed by post-combustion of carbon monoxide in the furnace hearth 12 Figure 3.…”

Section: Establishment Of Prediction Model For Oxygen Blowing Quantitymentioning

confidence: 99%

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Model for prediction of oxygen required in BOF steelmaking

Wang¹,

Liu²,

Xie³

et al. 2012

Ironmaking & Steelmaking

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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

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Section: Oxygen Balance Modelmentioning

confidence: 99%

Section: Establishment Of Prediction Model For Oxygen Blowing Quantitymentioning

confidence: 99%

Model for prediction of oxygen required in BOF steelmaking

Wang¹,

Liu²,

Xie³

et al. 2012

Ironmaking & Steelmaking

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A process model for BOF process based on bath mixing degree

Wang

Liu

et al. 2010

Int J Miner Metall Mater

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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.

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Development and Prospect of Combined Blowing Converter in Japan

Kishimoto¹,

Saito²

2014

Tetsu-to-Hagane

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Reaction Model for Carbon, Manganese, and Oxygen in Bottom Blowing with Mixed Gas in Final Stage of Steel Refining in Converter

Cited by 3 publications

References 8 publications

Model for prediction of oxygen required in BOF steelmaking

Model for prediction of oxygen required in BOF steelmaking

A process model for BOF process based on bath mixing degree

Development and Prospect of Combined Blowing Converter in Japan

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