含相变内热源的带钢层冷温度建模及自适应  

Strip Temperature Modeling with Internal Heat under Phase Change and Self-adaption during Laminar Cooling

作　　者：陈水宣[1] 易际明[1] 谢丹[1] 张健民[2] 

机构地区：[1]厦门理工学院机械工程系,福建厦门361024 [2]上海宝钢股份公司技术中心,上海201900

出　　处：《厦门理工学院学报》2012年第2期43-47,共5页Journal of Xiamen University of Technology

基　　金：国家自然科学基金项目青年科学基金项目(51105321)

摘　　要：研究分析带钢在层流冷却过程中的传热,采用厚度方向的有限元差分温度模型,替换原温度设定系统中计算误差较大的指数模型.同时,采用可加性法则建立空冷区和水冷区相变率和潜热计算模型,构建了以相变潜热为内热源的层流冷却厚度分布温度模型.在高精度的新温度设定系统基础上,将神经元网络引入现场自适应系统,根据现场数据采集系统的实测数据对模型中的换热系数进行在线参数调整.结果表明,改造后的层冷温度设定系统比原系统精度高,在变钢种变规格轧制时误差波动小.The heat transfer of steels in laminar cooling process of hot strip mill is analyzed for technical improvement. Then a FEM heat transfer model in thickness direction is developed to replace the former exponential temperature model which has low precision. Meanwhile, considering the phase transformation behavior of steels and the transformation induced temperature change, a constitutive equation for the transformed fraction and heat latent in air and water cooling area is proposed for temperature modelling by using additivity rule. Thus coupled with the heat latent of phase transformation as its inner heat generation, a temperature model of thickness distribution is developed. Furthermore, based on the new accurate temperature setting system, artificial neuronal network is added to adjust the heat transfer coefficients according to actual production data, with both simulation and experimental results confirming that the accuracy of temperature setting system of laminar cooling is effectively improved and the error deviation is greatly decreased even when steel grade and dimension are changed.

关 键 词：层流冷却 温度模型 相变 自适应 

分 类 号：TG335.56[金属学及工艺—金属压力加工]