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特厚板差温轧制参数建模及优化控制研究现状
Status of Research on Modelling and Optimal Control of Gradient Temperature Rolling Parameters for Ultra-heavy Plates
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- DOI:
- 作者:
- 车立志，章顺虎，李 言，田文皓，张 艺
CHE Lizhi, ZHANG Shunhu, LI Yan, TIAN Wenhao, ZHANG Yi
- 作者单位:
- 苏州大学 沙钢钢铁学院，江苏 苏州 215021
School of Iron and Steel, Soochow University, Suzhou 215021, China
- 关键词:
- 差温轧制；特厚板；理论解析；有限元建模；神经网络
gradient temperature rolling; ultra-heavy plate; theoretical analysis; finite element modelling; neural network
- 摘要:
- 差温轧制作为一种先进的轧制工艺，对提高特厚板的形性质量具有重要的促进作用。 但是生产中工艺参数的制定与优化缺乏明确的理论指导，导致差温轧制技术的发展受到了严重的制约。 为解决这一问题，本文从轧制力、缺陷压合、板形控制 3 个方面分别介绍了相关的建模方法及研究进展，深入分析了理论解析、有限元模拟以及神经网络在建模中的应用。 现有研究表明，针对差温轧制生产的轧制力模型预测精度有待进一步提升。 同时，差温轧制过程中缺陷压合与板形控制建模研究缺乏多参数耦合的定量描述，相关研究有待进一步深入。 最后，随着生产过程中对精度要求的提高，基于人工智能技术的高精度建模和参数优化控制将成为轧钢未来重要的发展方向。
As an advanced rolling process, gradient temperature rolling plays an important role in improving the shape and performance quality of ultra-heavy plates. However, the lack of clear theoretical guidance for the formulation and optimization of process parameters in production has led to serious constraints on the development of gradient temperature rolling. To solve this problem, this paper introduces the relevant modelling methods and research progress from three aspects, namely, rolling force, defect compression and plate shape control, and analyses in depth the application and results of theoretical analysis, finite element modelling and neural network modelling. Available research shows that the accuracy of rolling force model prediction for gradient temperature rolling production needs to be further improved. At the same time, the modelling study of defect compression and plate shape control in the gradient temperature rolling process lacks a quantitative description of multiparameter coupling, and further research is needed. Finally, with the increase in accuracy requirements in the production process, high precision modelling and optimal control of parameters based on artificial neural network technology will become an important development direction for rolling steel in the future.