摘要
上海梅山钢铁股份有限公司转炉动态模型采用代数学模型,可每隔一定送氧量计算预测熔池内钢水的温度和碳含量。针对其计算精度低的问题进行原因分析,并提出了改进措施。结果表明,一倒温度、动态矿石量、炉渣活性、钢种、底吹等因素的不稳定控制是造成动态模型计算精度出现波动的主要原因,通过采取稳定控制、推行标准化作业、根据钢种[P]要求和转炉碳氧积对自学习炉次进行分组等措施,动态模型计算精度由65%提高至80%以上。
Converter dynamic model in Shanghai Meishan Iron and steel Co., Ltd is algebraic model and can forecast the liquid steel temperature and carbon content every a certain amount of oxygen. The paper analyses the reason of low calculation accuracy and proposes the improvement measures. The results show that the factors, such as temperature of TSC, amount of iron ore af- ter TSC, slag activity, steel grade, and status of bottom blow, are not controlled steadily is the primary reason which causes the fluctuation of calculation accuracy. By application of several measures such as stability control, implementation of standardized Operation and grouping of self-learning based on the maximum [P] content of steel grade and the product of carbon content and oxygen content, the calculation accuracy of dynamic model raises from 65% to above 80%.
出处
《四川冶金》
CAS
2015年第6期16-21,共6页
Sichuan Metallurgy
关键词
转炉
动态模型
计算精度
波动
converter
dynamic model
calculation accuracy
fluctuation