工程科学学报，第40卷，第10期：1244-1250,2018年10月 Chinese Journal of Engineering,Vol.40,No.10:1244-1250,October 2018 DOI:10.13374/j.issn2095-9389.2018.10.012;http://journals.ustb.edu.cn 基于熔池混匀度的转炉烟气分析定碳模型 李南)，林文辉)，曹玲玲)，刘青)四，孙乐飞)，廖桑桑) 1)北京科技大学钢铁冶金新技术国家重点实验室，北京1000832)新余钢铁集团有限公司，新余338001 ☒通信作者，E-mail:qliu@usth.cd.cm 摘要转炉治炼终点碳曲线拟合模型避开了熔池初始碳含量雅以精准确定的问题，假设吹炼后期脱碳速率与熔池碳含量 具有一定的函数关系，通过这种函数关系预报钢水终点碳含量.终点碳的三次方模型和指数模型预报精度在±0.02%之间的 命中率分别为85.9%和81.2%.运用熔渣分子理论，基于冶炼热轧板材(SPHC)的渣组元成分，计算得出渣中F0的活度为 0.241.出钢温度为1686℃时，C和Fe元素选择性氧化的临界碳质量分数为0.033%.本文在传统指数模型的基础上，充分考 虑了枪位、顶吹流量、底吹流量等操作参数对熔池脱碳速率的影响，建立了基于熔池混匀度的指数模型.基于熔池混匀度的指 数模型与其他烟气分析碳曲线拟合模型相比，命中率有所提高.以新钢生产热轧板材（目标碳质量分数为0.06%）时的烟气 数据为研究对象建模，终点碳质量分数预报误差在±0.02%之间的有75炉次，占验证数据量的88.2%. 关键词转炉：烟气分析：脱碳速率：终点碳含量：熔池混匀度 分类号TF729 Carbon prediction model for basic oxygen furnace off-gas analysis based on bath mixing degree LI Nan',LIN Wen-hui),CAO Ling-ling,LIU Qing,SUN Le-fe),LIAO Sang-sang?) 1)State Key Laboratory of Advanced Metallurgy.University of Science and Technology Beijing.Beijing 100083,China 2)Xinyu Iron and Steel Group Co.Ltd,Xinyu 338001,China Corresponding author,E-mail:qliu@ustb.edu.cn 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,estab- lish 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%,re- spectively,with end-point carbon prediction error of only +0.02%.Applying the molecular theory,the activity of Feo in slag is cal- culated to be 0.241 for the slag components of SPHC steel.When the tapping temperature is 1686C,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 收稿日期：2017-11-08 基金项目：江西“十三五”省重点研发计划资助项目(20171ACE50020):高等学校博士学科点专项科研基金资助项目(20120006110036)工程科学学报,第 40 卷,第 10 期:1244鄄鄄1250,2018 年 10 月 Chinese Journal of Engineering, Vol. 40, No. 10: 1244鄄鄄1250, October 2018 DOI: 10. 13374 / j. issn2095鄄鄄9389. 2018. 10. 012; http: / / journals. ustb. edu. cn 基于熔池混匀度的转炉烟气分析定碳模型 李 南1) , 林文辉1) , 曹玲玲1) , 刘 青1) 苣 , 孙乐飞2) , 廖桑桑2) 1) 北京科技大学钢铁冶金新技术国家重点实验室, 北京 100083 2) 新余钢铁集团有限公司, 新余 338001 苣 通信作者,E鄄mail: qliu@ ustb. edu. cn 摘 要 转炉冶炼终点碳曲线拟合模型避开了熔池初始碳含量难以精准确定的问题,假设吹炼后期脱碳速率与熔池碳含量 具有一定的函数关系,通过这种函数关系预报钢水终点碳含量. 终点碳的三次方模型和指数模型预报精度在 依 0郾 02% 之间的 命中率分别为 85郾 9% 和 81郾 2% . 运用熔渣分子理论,基于冶炼热轧板材(SPHC)的渣组元成分,计算得出渣中 FeO 的活度为 0郾 241. 出钢温度为 1686 益时,C 和 Fe 元素选择性氧化的临界碳质量分数为 0郾 033% . 本文在传统指数模型的基础上,充分考 虑了枪位、顶吹流量、底吹流量等操作参数对熔池脱碳速率的影响,建立了基于熔池混匀度的指数模型. 基于熔池混匀度的指 数模型与其他烟气分析碳曲线拟合模型相比,命中率有所提高. 以新钢生产热轧板材(目标碳质量分数为 0郾 06% )时的烟气 数据为研究对象建模,终点碳质量分数预报误差在 依 0郾 02% 之间的有 75 炉次,占验证数据量的 88郾 2% . 关键词 转炉; 烟气分析; 脱碳速率; 终点碳含量; 熔池混匀度 分类号 TF729 收稿日期: 2017鄄鄄11鄄鄄08 基金项目: 江西“十三五冶省重点研发计划资助项目(20171ACE50020);高等学校博士学科点专项科研基金资助项目(20120006110036) Carbon prediction model for basic oxygen furnace off鄄gas analysis based on bath mixing degree LI Nan 1) , LIN Wen鄄hui 1) , CAO Ling鄄ling 1) , LIU Qing 1) 苣 , SUN Le鄄fei 2) , LIAO Sang鄄sang 2) 1)State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing 100083, China 2)Xinyu Iron and Steel Group Co. Ltd, Xinyu 338001, China 苣 Corresponding author, E鄄mail: qliu@ ustb. edu. cn ABSTRACT With the rapid development of computer science, artificial intelligence, big data technology, and various detection technologies, the converter off鄄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鄄gas analysis technology is to fully extract the information from the converter off鄄gas data during the steelmaking process, estab鄄 lish the model closely related to the process, and guide the actual steelmaking production. This study investigates the problem of off鄄gas analysis technology in predicting the carbon content of molten bath at the end of steelmaking process. The fitting model of converter end鄄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郾 9% and 81郾 2% , re鄄 spectively, with end鄄point carbon prediction error of only 依 0郾 02% . Applying the molecular theory, the activity of FeO in slag is cal鄄 culated to be 0郾 241 for the slag components of SPHC steel. When the tapping temperature is 1686益 , the critical carbon content of the selective oxidation of C and Fe is 0郾 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鄄gas analysis carbon curve fitting, the hit rate of the exponential model based on bath mixing