金属热处理 ›› 2025, Vol. 50 ›› Issue (6): 255-260.DOI: 10.13251/j.issn.0254-6051.2025.06.039

• 数值模拟 • 上一篇    下一篇

面向效率提升的冷轧连续退火机组数学模型优化

王静1,2, 宋利伟1,2, 孙荣生1,2,3, 刘英明4, 洪天生4, 白振华3, 蔡顺达1,2   

  1. 1.海洋装备用金属材料及其应用国家重点实验室, 辽宁 鞍山 114009;
    2.鞍钢集团钢铁研究院, 辽宁 鞍山 114009;
    3.燕山大学 国家冷轧板带装备及工艺工程技术研究中心, 河北 秦皇岛 066004;
    4.鞍钢股份冷轧厂, 辽宁 鞍山 114021
  • 收稿日期:2024-12-03 修回日期:2025-03-26 出版日期:2025-06-25 发布日期:2025-07-08
  • 通讯作者: 蔡顺达,工程师,硕士,E-mail: 845671540@qq.com
  • 作者简介:王 静(1982—),女,高级工程师,硕士,主要研究方向为先进汽车用钢冷轧工艺,E-mail: hongjing527@163.com。
  • 基金资助:
    辽宁省自然科学基金(2022-MS-450)

Optimization of mathematical model of cold rolling continuous annealing line for efficiency improvement

Wang Jing1,2, Song Liwei1,2, Sun Rongsheng1,2,3, Liu Yingming4, Hong Tiansheng4, Bai Zhenhua3, Cai Shunda1,2   

  1. 1. State Key Laboratory of Metal Material for Marine Equipment and Application, Anshan Liaoning 114009, China;
    2. Ansteel Iron & Steel Research Insititute, Anshan Liaoning 114009, China;
    3. National Engineering Research Center for Equipment and Technology of Cold Strip Rolling,Yanshan University, Qinhuangdao Hebei 066004;
    4. Ansteel Cold Rolling Plant, Anshan Liaoning 114021, China
  • Received:2024-12-03 Revised:2025-03-26 Online:2025-06-25 Published:2025-07-08

摘要: 以2130立式连续退火机组现有数学模型为研究对象,针对模型在实际生产过程中存在的速度调整滞后、过渡时温度跳跃幅度大,进而造成带钢速度的频繁波动,并随之产生带钢加热及冷却速率的频繁变化,导致对于高强钢、双相钢、超深冲钢等性能要求较高产品组织均匀性将产生较大影响,造成成品性能均匀性较差,影响终端用户使用的问题,系统地分析了模型制约连退机组生产效率的瓶颈,通过数学模型优化得出机组的最优速度,建立了速度调节规则,在模型通入运行时会根据目标速度来计算设定值并及时调节,在保证生产速度最优的条件下对速度变化进行精准调节控制,最终使连退机组生产效率达到最大化。

关键词: 连续退火机组, 效率提升, 数学模型优化

Abstract: Taking the existing mathematical model of 2130 vertical continuous annealing line as the research object, the speed adjustment lag and large temperature jump in the actual production process of the model cause frequent fluctuation of strip steel speed, and then frequent changes of strip steel heating and cooling rate, which will have a great impact on the structural uniformity of products with high performance requirements such as high strength steel, dual-phase steel and ultra-deep drawing steel, resulting in poor performance uniformity of finished products. The problems that affect the use of end users are systematically analyzed, and the bottleneck that the model restricts the production efficiency of the continuous annealing line is analyzed. The optimal speed of the line is obtained through the optimization of the mathematical model, and the speed adjustment rules are established. When the model is put into operation, the set value will be calculated according to the target speed and adjusted in time, and the speed change will be accurately adjusted and controlled under the condition of ensuring the optimal production speed, and finally the production efficiency of the continuous annealing line will be maximized.

Key words: continuous annealing line, efficiency enhancement, mathematical model optimization

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