【作者】 蔺凤琴； 宋勇； 荆丰伟； 孙文权； 张南风；

【Author】 Lin Fengqin;Song Yong;Jing Fengwei;Sun Wenquan;Zhang Nanfeng;National Engineering Research Center for Advanced Rolling Technology, University of Science and Technology Beijing;No.1 Steelmaking and Plate Rolling Plant of Lianyuan Iron & Steel Co., Ltd.;

【机构】 北京科技大学高效轧制国家工程研究中心； 湖南华菱钢铁股份有限公司一炼轧；

【摘要】 紧凑式带钢生产线(CSP)隧道炉位于上游连铸机与下游轧机之间,对热坯进行加热和均热之后,向轧机输送高温板坯。隧道炉各区的炉温实测值直接影响板坯的出炉温度和均匀性,从而影响最终产品的成材率和质量。本文介绍的炉温优化模型基于板坯基础炉温策略,依据炉内板坯数量和参数的变化实时拟合综合炉温。此外,根据板坯位置的变化,将板坯理想加热曲线和预测加热曲线进行比对,两者的差值作为输入参数,模型输出炉温修正值,对炉温进行动态修正。该模型在某厂的应用表明,板坯的出炉温度命中率得到了很大提高,同时降低了能耗,节约了成本,提升了企业在行业的竞争力。更多还原

【Abstract】 The tunnel furnace for CSP(Compact Strip Production) is located between the thin slab caster and the rolling mill.It heats and soaks hot slabs from caster,and transports high temperature slabs to downstream mill.The measured temperature values of furnace zones directly impact disarging temperature and uniformity of slabs, thus impact product rate and quality of finished coils. The furnace temperature optimizing control model refered to this article is based on basic furnace temperature policy,fits the comprehensive furnace temperature in time according to the changes of quantity and param of slabs in furnace. In addition, a comparison of the slab ideal heat curve and predicting heat curve shows offset of two curves.The model outputs correction of furnace temperature on the basis of the offset,and revises furnace temperature dynamically.The application of this model in a plan substantially impoves hit rate of slab discharging temperature,and impoves enterprise competitiveness by the reduction of energy and cost.更多还原