热轧无取向硅钢温度模型的研究与优化应用  

Research and optimization application for temperature model of hot rolled non-oriented silicon steel

作　　者：马冬凯 MA Dongkai(Hanbao Hot Rolling Plant,HBIS Group Hansteel Company,Handan 056003,China)

机构地区：[1]河钢集团邯钢公司邯宝热轧厂,河北邯郸056003

出　　处：《冶金自动化》2022年第6期96-101,共6页Metallurgical Industry Automation

摘　　要：无取向硅钢是电子工业广泛应用的软磁材料,热轧生产中对各道工序的温度控制要求较高,尤其是卷取温度对硅钢的组织结构和电磁性能都有较大影响。实际生产中硅钢薄规格产品头尾受穿带加速和抛钢降速等因素影响,带钢头尾温度低于目标卷取温度;不同批次化学元素质量分数不同,硅钢物料代码跳变,卷取温度低于目标值较多。针对实际生产中存在的难题,应用带钢头尾自学习及不同的补偿长度设定、对个别牌号硅钢物料代码进行固化及优化模型参数,减小硅钢卷取温度波动,解决了硅钢产品轧制中带钢头尾卷取温度失控及温度波动造成硅钢磁感等性能不合格质量事故。优化实施后,硅钢产品卷取温度命中率提高了12.69%,硅钢各项性能指标显著提升。Non-oriented silicon steel is a soft magnetic material widely used in electronic industry,which requires high temperature control for each hot rolling process,especially the coiling temperature has great influence on the microstructure and electromagnetic properties of silicon steel.In production,the strip head and tail temperature is lower than the target coiling temperature,because of steel is affected by factors such as belt penetration acceleration and casting speed drop.The coiling temperature is much lower than the target value,as the mass fraction of chemical elements varies from different batch and material code of silicon steel jumps.According to the existing problems,application of strip head and tail self-learning and different compensation length setting,solidification of the material codes for individual grades of silicon steel and optimization of model parameters reduce coiling temperature fluctuations and solve the quality failure of silicon steel magnetic inductance caused by temperature fluctuation and the temperature loss of strip head and tail coiling during silicon steel product rolling.After optimization,the silicon steel products coiling temperature hit ratio increases by 12.69%and the performance of silicon steel have been significantly improved.

关 键 词：热轧 无取向硅钢 卷取温度 数学模型 材料代码 化学元素 

分 类 号：TG335.11[金属学及工艺—金属压力加工]