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基于熔池混勻度的轉爐煙氣分析定碳模型

Carbon prediction model for basic oxygen furnace off-gas analysis based on bath mixing degree

  • 摘要: 轉爐冶煉終點碳曲線擬合模型避開了熔池初始碳含量難以精準確定的問題,假設吹煉后期脫碳速率與熔池碳含量具有一定的函數關系,通過這種函數關系預報鋼水終點碳含量.終點碳的三次方模型和指數模型預報精度在±0.02%之間的命中率分別為85.9%和81.2%.運用熔渣分子理論,基于冶煉熱軋板材(SPHC)的渣組元成分,計算得出渣中FeO的活度為0.241.出鋼溫度為1686℃時,C和Fe元素選擇性氧化的臨界碳質量分數為0.033%.本文在傳統指數模型的基礎上,充分考慮了槍位、頂吹流量、底吹流量等操作參數對熔池脫碳速率的影響,建立了基于熔池混勻度的指數模型.基于熔池混勻度的指數模型與其他煙氣分析碳曲線擬合模型相比,命中率有所提高.以新鋼生產熱軋板材(目標碳質量分數為0.06%)時的煙氣數據為研究對象建模,終點碳質量分數預報誤差在±0.02%之間的有75爐次,占驗證數據量的88.2%.

     

    Abstract: With the rapid development of computer science, artificial intelligence, big data technology, and various detection technologies, the converter off-gas analysis technology can continuously monitor the reaction process in a basic oxygen furnace without being limited by the size of the converter mouth; this technology can also help save costs thus receive much attention again. The focus of the off-gas analysis technology is to fully extract the information from the converter off-gas data during the steelmaking process, establish the model closely related to the process, and guide the actual steelmaking production. This study investigates the problem of off-gas analysis technology in predicting the carbon content of molten bath at the end of steelmaking process. The fitting model of converter end-point carbon curve avoids the difficulty of accurately determining the initial carbon content of the molten bath. It is assumed that a certain function defines the relationship between the decarburization rate and the carbon content in the molten bath, therefore can be used to predict the carbon content of the bath. The hit rates of the cubic model and the exponential model are 85.9% and 81.2%, respectively, with end-point carbon prediction error of only ±0.02%. Applying the molecular theory, the activity of FeO in slag is calculated to be 0.241 for the slag components of SPHC steel. When the tapping temperature is 1686℃, the critical carbon content of the selective oxidation of C and Fe is 0.033%. Based on the traditional exponential model, the influence of operating parameters such as lance height, top blowing rate and bottom blowing rate is considered, and an exponential model is established based on the bath mixing degree. Compared with other models of off-gas analysis carbon curve fitting, the hit rate of the exponential model based on bath mixing degree is greatly improved. The hit rate of end-point carbon is 88.2% with error of ±0.02%, accounting for 75 heats.

     

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