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作 者:刘修业 周平 黄少文 高宏伟[1] 李洋[3,4,5] 孙兰香[3,4,5] LIU Xiuye;ZHOU Ping;HUANG Shaowen;GAO HongweiLI Yang;SUN Lanxiang(Shenyang Ligong University,Shenyang 110159,China;Shandong Iron and Steel Company Ltd.,Jinan 271105,China;State Key Laboratory of Robotics,Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China;Key Laboratory of Networked Control Systems,Chinese Academy of Sciences,Shenyang 110016,China;Institutes for Robotics and Intelligent Manufacturing,Chinese Academy of Sciences,Shenyang 110169,China)
机构地区:[1]沈阳理工大学,辽宁沈阳110159 [2]山东钢铁股份有限公司,山东济南271105 [3]中国科学院沈阳自动化研究所机器人学国家重点实验室,辽宁沈阳110016 [4]中国科学院网络化控制系统重点实验室,辽宁沈阳110016 [5]中国科学院机器人与智能制造创新研究院,辽宁沈阳110169
出 处:《冶金分析》2023年第6期12-18,共7页Metallurgical Analysis
基 金:国家重点研发计划(2021YFB3202402);中国科学院区域服务网络计划(KFJ-STS-QYZD-2021-19-002)。
摘 要:液态炉渣的快速在线分析对于提高炼钢过程的稳定性具有重要意义。为探究激光诱导击穿光谱(LIBS)在线测量精炼炉渣的关键影响因素,实验研究了炉渣成分、温度和测量距离对光谱强度和稳定性的影响。其中,温度为1350、1400、1450℃这3个温度,测量距离从53.7 cm至55.7 cm。实验结果表明,测量距离在实验条件下的2 cm范围内变化对光谱强度影响不明显,但熔渣的成分和温度对光谱强度和稳定性有较大影响。熔渣中Fe含量越高,相同温度下熔渣的黏度越低,流动性越好,获得的光谱强度更强,且稳定性更好。同时,温度升高也有利于降低熔渣黏度,进而提高光谱强度和稳定性。此外,对28个熔渣样本在温度为1450℃时Ca含量进行了定量分析,采用递归特征消除结合偏最小二乘(PLS)的定量建模方法,测试集的均方根误差(RMSEP)为1.47%。The rapid online analysis of liquid slag has important significance to improve the stability of steel-making process.In order to explore the key factors influencing the online measurement of refining slag by laser-induced breakdown spectroscopy(LIBS),the effects of slag composition,temperature and measurement distance on spectral intensity and its stability were studied.The temperatures were 1350℃,1400℃and 1450℃,and the measurement distance ranged from 53.7 cm to 55.7 cm.The results showed that there was no obvious influence on the spectral intensity when the measurement distance varied within 2 cm under experimental conditions.However,the composition and temperature of slag had a great influence on spectral intensity and its stability.The higher the concentration of Fe in the slag,the lower the viscosity of the slag at the same temperature,the better the fluidity,the stronger the spectral intensity obtained,and the better the spectral stability.Meanwhile,the increase of temperature was also helpful to reduce the slag viscosity and improve the spectral intensity and its stability.Moreover,the contents of Ca in 28 slag samples were quantitatively analyzed at 1450℃.The recursive feature elimination method combined with partial least squares(PLS)was adopted for quantitative modeling.The root mean square error of prediction(RMSEP)of test set was 1.47%.
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