• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2026, Vol. 62 ›› Issue (4): 135-147.doi: 10.3901/JME.260112

• 材料科学与工程 • 上一篇    

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基于性能不均遗传的高强钢冷轧多道次耦合建模预测及调控

李晓华1, 李旭1, 韩月娇1, 王鹏飞2, 张殿华1, 张勇3   

  1. 1. 东北大学数字钢铁全国重点实验室 沈阳 110819;
    2. 燕山大学国家冷轧板带装备及工艺工程技术研究中心 秦皇岛 066004;
    3. 本钢板材股份有限公司冷轧总厂 本溪 117000
  • 收稿日期:2025-03-05 修回日期:2025-09-02 发布日期:2026-04-02
  • 作者简介:李晓华,女,1998年出生,博士研究生。主要研究方向为板形控制模型、轧制过程数值仿真分析。E-mail:2290033@neu.edu.cn
    李旭(通信作者),男,1981年出生,博士,教授,博士研究生导师。主要研究方向为板带钢质量精准控制与多工序协调优化、轧制过程故障诊断及自愈控制、绿色短流程轧制过程智能化控制。E-mail:lixu@ral.neu.edu.cn
  • 基金资助:
    国家自然科学基金(U24A20271)、四川省省级工业发展专项资金重大技术装备攻关任务(532416)、广西大学省部共建特色金属材料与组合结构全寿命安全国家重点实验室开放课题(MMCS20230F07)、河北省自然科学基金(E2024203016)和河北省省级科技计划(246Z1601G)资助项目。

Prediction and Regulation of Multi-pass Coupled Modeling for Cold Rolling of High-strength Strip Based on Genetic Inheritance of Property Inhomogeneity

LI Xiaohua1, LI Xu1, HAN Yuejiao1, WANG Pengfei2, ZHANG Dianhua1, ZHANG Yong3   

  1. 1. The State Key Laboratory of Digital Steel, Northeastern University, Shenyang 110819;
    2. National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Yanshan University, Qinhuangdao 066004;
    3. The Cold Rolling Mill, Ben Gang Steel Plates Co., Ltd., Benxi 117000
  • Received:2025-03-05 Revised:2025-09-02 Published:2026-04-02

摘要: 随冷轧基料强度和减薄率的大幅提升,由基料遗传的宽向性能不均特性诱发的板形缺陷,成为高强钢产品高精、高质、高效生产亟待攻关的共性问题之一。为深入揭示该类缺陷的形成机理,以某1 450 mm冷连轧机为原型,构建了融合板带宽向性能差异与数据遗传机制的多道次冷连轧仿真耦合模型,各轧制道次轧制力计算值与实测值相对误差控制在±8%以内,断面厚度最大误差小于20 μm。基于该模型,进一步提出一套可定量表征轧制板形与关键工艺参数间响应关系的预测方法。研究表明,板带横向性能差异诱导轧制应力呈非对称“马鞍型”分布,并在高抗力区域形成犄角型波动峰。随轧制道次推进,应变硬化与横向硬化差异协同演化,硬化叠加致使应力平台化趋势增强,应力集中尤其在压下率较高道次与末道次显著增强。此外,横向屈服强度梯度引发局部变形重构,一定程度上削弱了压下量对板形的线性放大效应,使板形调控呈现更强的非线性与敏感性,且在一定压下率波动范围内,厚度调控偏差最高可达5.39 μm。实现了轧后板形预测及工艺调控策略优化,为高强钢板形缺陷机理解析与精确控制提供了新思路。

关键词: 冷连轧, 高强钢, 性能分布, 仿真模型, 调控功效

Abstract: With the substantial increase in base strip strength and reduction ratio, shape defects induced by inherited transverse property heterogeneity have emerged as a critical common challenge hindering the high-precision, high-quality, and high-efficiency production of high-strength steel. To elucidate the formation mechanisms of such defects, a multi-pass tandem cold rolling simulation model integrating the differences in the wide direction performance of the strip and the genetic mechanism of the data was constructed using a 1 450 mm cold rolling mill as a prototype. The model achieved relative errors within ±8% between calculated and measured rolling force for all stands, and a maximum cross-sectional thickness deviation of less than 20 μm. Based on this model, a predictive methodology was proposed to quantitatively characterize the response relationships between rolled strip shape and key process parameters. Results reveal that the difference in transverse properties of the strip induces an asymmetric “saddle-shaped” distribution of rolling stress, with jagged peaks forming in regions of high deformation resistance. As rolling progresses, strain hardening and transverse hardening differences evolve synergistically, and the superposition of hardening leads to the enhancement of the stress plateauing trend, and the stress concentration is especially enhanced in the higher undercutting rate stand and the end stand. Furthermore, transverse yield strength gradients trigger local deformation reconstructions, which partially attenuate the linear amplification effect of reduction on shape defects. This results in increased nonlinearity and sensitivity of shape control. Within a certain range of reduction fluctuation, the resulting thickness deviation can reach up to 5.39 μm. The post-rolling strip shape is predicted and process control strategies are optimized, providing a new approach for elucidating the mechanism of shape defects and achieving precise control in high-strength steel.

Key words: tandem cold rolling, high-strength strip, property distribution, simulation model, control efficiency

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