A novel control algorithm for dephosphorization in an LD converter

Tomiyama, Shinji; Uchida, Yuichi; Mizuno, Hiroshi; Akiu, Kengo; Maeda, Takahiko

doi:10.1016/j.jprocont.2014.11.002

Cited by 7 publications

(3 citation statements)

References 2 publications

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“…Dynamic control is to perform accurate measurement and then identify follow‐up operations close to endpoint to achieve the control target through online measuring techniques. The smelting process of dedicated dephosphorization converter is similar to that of routine converter, the difference is that end phosphorus content is one of the most important control targets in dephosphorization converter . But, there is a lack of online measuring techniques on end phosphorus content, thus developing a mechanistic model or data‐driven model in the control process to predict end phosphorus content is very important.…”

Section: Literature Reviewmentioning

confidence: 99%

An Improved CBR Model Based on Mechanistic Model Similarity for Predicting End Phosphorus Content in Dephosphorization Converter

Feng

et al. 2018

steel research int.

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There has been a lack of reliable online measuring equipment on end phosphorus content in dedicated dephosphorization converter, which leads to the low control accuracy of end phosphorus content. A Case-based Reasoning (CBR) method based on mechanistic model similarity is proposed to predict the end phosphorus content in dephosphorization converter. The correlation between the influencing factors and target as well as the similarity between influencing factors of different cases are considered comprehensively in the proposed method. Firstly, the mechanistic model of end phosphorus content in dephosphorization converter is established by using the slag phosphorus distribution ratio and Matter Conservation. Then, the similarity calculation equation of mechanistic model is designed. Lastly, the prediction result is obtained by bringing the mechanistic model of end phosphorus content into the designed similarity calculation method. CBR method based on mechanistic model similarity (CBR-MM), mechanistic model, Back Propagation Neural Network (BPNN), CBR based on Euclidean Distance similarity (CBR-ED), and CBR based on Grey Distance similarity (CBR-GD) are used to predict end phosphorus content by applying practical production data. The result shows CBR-MM has higher prediction accuracy compared to other methods.

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Section: Literature Reviewmentioning

confidence: 99%

An Improved CBR Model Based on Mechanistic Model Similarity for Predicting End Phosphorus Content in Dephosphorization Converter

Feng

et al. 2018

steel research int.

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“…And recently the mixture of CO 2 and O 2 has been attempted for steelmaking, and it has found that CO 2 -O 2 mixed gas had the characteristics of lowering the temperature of the steelmaking ignition zone and regulating the reaction oxidizing atmosphere, thereby reducing the occurrence of steelmaking dust, improving the dephosphorization efficiency and reducing the loss of metals and alloys. [1][2][3][4][5][6] Most of the researches [7][8][9][10][11][12][13][14][15][16][17][18] is focused on the thermal efficiency and energy distribution of the reaction, as well as the kinetics of decarburization. Lv et al 19) reported that CO 2 used for top blowing of converter reduced the amount of smoke and improved dephosphorization rate.…”

Section: Introductionmentioning

confidence: 99%

Reaction between CO<sub>2</sub>–O<sub>2</sub> Mixture Gas and Fe–C Melts by Isotope Tracing Method

Fan

Zhu

et al. 2020

ISIJ Int.

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In order to clarify the role of O 2 and CO 2 which are applied to steelmaking, the isotope tracing method has been used to study the decarburization reactions between CO 2-O 2 mixed gas and Fe-C melts containing different carbon contents at 1 873 K. When the mixture of two isotope gases of 18 O 2 and 13 CO 2 reacts with melts, the isotopic composition of the reacted gas is monitored online by a mass spectrometer. According to the change of isotopic gas composition, the ratio of various reactions and the decarburization rate can be calculated, and the effects of gas flowrate and carbon content on the decarburization reaction can be discussed. The results showed that the utilization of CO 2 was more than 97%, and approximately 52% of oxygen formed to CO, 17% to CO 2 , and 31% for post combustion under the conditions of 30 ml/ min of flowrate, 1 cm of the gas injection height and the 4.00 to 1.00 wt% of original carbon content. And with the increase of the flowrate from 30 ml/min to 40 ml/min, the amount of CO 2 generated by O 2 increased, while the amount of CO decreased. In particular, the post combustion ratio improved significantly from 47% to 77%. KEY WORDS: decarbonization; isotope tracing method; CO 2-O 2 mixture; mass spectrometry analysis technique.

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“…Tian et al adopted double‐slag operation for dephosphorization in a 210 t converter to produce low phosphorus steel, and a phosphorus content of less than 0.005% was obtained in their trails . Some researchers developed the hot metal pretreatment for dephosphorization in a special dephosphorization vessel, which improved the thermodynamic and kinetic conditions of dephosphorization, hence increased the dephosphorization rate . Zeng et al studied the composite dephosphorization agent which promoted the foaming slag in dephosphorization process .…”

Section: Introductionmentioning

confidence: 99%

High Efficiency Dephosphorization by Mixed Injection during Steelmaking Process

Zhu

Yang

2018

steel research int.

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A new dephosphorization technology with introduction of partial CO2 into O2 is proposed in this paper. Thermodynamic characteristics and dephosphorization mechanism by introduction of CO2 are analyzed and the results show that using CO2 as partial dephosphorization oxidant can change the selective oxidation condition of steelmaking system, control the temperature of bath, strengthen the stirring ability, and finally obtain a high efficiency of dephosphorization. Meanwhile, the relationship between selective oxidation temperature T of C and P, partial pressure of CO gas, slag activity, and compositions of melt is obtained as follows. T ¼ ðP CO =P 0 Þ 0:0401 a 0:0080 4CaOÁP 2 O 5 Á expðÀ0:0403½%C À 0:0030½%Si þ 0:0011½%Mn þ 0:3515½%P þ 7:3986Þ Furthermore, dephosphorization trails are carried out in a 30t steelmaking converter and a 300t special dephosphorization converter, respectively. It is concluded that the new technology of injecting CO 2 -O 2 mixture is beneficial to reduce phosphorus content in liquid steel, increase the partition ratio of phosphorus, and reduce iron loss of slag.

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A novel control algorithm for dephosphorization in an LD converter

Cited by 7 publications

References 2 publications

An Improved CBR Model Based on Mechanistic Model Similarity for Predicting End Phosphorus Content in Dephosphorization Converter

An Improved CBR Model Based on Mechanistic Model Similarity for Predicting End Phosphorus Content in Dephosphorization Converter

Reaction between CO<sub>2</sub>–O<sub>2</sub> Mixture Gas and Fe–C Melts by Isotope Tracing Method

High Efficiency Dephosphorization by Mixed Injection during Steelmaking Process

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