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作 者:潘竟忠 PAN Jingzhong(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》2021年第4期68-73,80,共7页Metallurgical Industry Automation
摘 要:热轧卷取温度是高强大梁钢产品的主要性能参数之一,实际生产中700 MPa级汽车大梁钢在层冷辊道经常出现较大的浪形,影响卷取温度控制(coiling temperature control,CTC)模型的反馈控制及模型自学习,带钢卷取温度波动较大。不同批次轧制时板坯加热温度存在一定偏差及不同的冷却工艺等因素给CTC模型的精确预设定带来较大难度。结合生产中存在的难题,对CTC模型自动控制过程进行优化,6.0 mm以下产品采用带钢长度方向上三段式斜率自学习控制技术,10 mm及以上厚规格产品开发恒速穿带轧制模式,针对大梁钢不同冷却工艺建立新模型参数表,解决了大梁钢卷取温度波动及模型设定偏差较大等难题。优化实施后,卷取温度综合控制命中率提高了19.54%,带钢各项力学性能指标显著提升。Hot rolling coiling temperature is one of the main performance parameters of high strength beam steel products.In the production of 700 MPa grade automobile beam steel,the large wave shape often appeared in the layer cold roller table,which had influence on CTC model feedback control and model self-learning,as the temperature of strip coiling fluctuated greatly.It was difficult to preset the CTC model accurately due to the deviation of slab heating temperature and different cooling technology in different batches of rolling.Combined with the problems in production,the automatic control process of CTC model is optimized.Strip three-stage slope self-learning control technology for products thickness below 6.0 mm is adopted,constant speed strip rolling mode for 10 mm and above thick specifications is developed.According to the different cooling processes of beam steel,a new model parameter table was established to solve the problems of beam steel coiling temperature fluctuation and large model setting deviation.After the optimization,the hit rate of coiling temperature comprehensive control is increased by 19.54%,and the mechanical properties of strip steel are significantly improved.
关 键 词:700 MPa级高强钢 卷取温度 穿带速度 CTC模型 力学性能
分 类 号:U465.11[一般工业技术—材料科学与工程] TG142.1[机械工程—车辆工程]
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