Status of Research on Modelling and Optimal Control of Gradient Temperature Rolling Parameters for Ultra-heavy Plates

Author of the article:CHE Lizhi, ZHANG Shunhu, LI Yan, TIAN Wenhao, ZHANG Yi

Author's Workplace：School of Iron and Steel, Soochow University, Suzhou 215021, China

Key Words：gradient temperature rolling; ultra-heavy plate; theoretical analysis; finite element modelling; neural network

Abstract： 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.