A novel mechanism fusion data control method for slab camber in hot rolling

Song, Lin; Xu, Dong; Liu, Pengfei; Zhou, Jinhang; Yan, Hui-qing; Li, Jingdong; He, Haoxiang; Yu, Hongying; Wang, Xiaochen; Yang, Quan

doi:10.1007/s42243-023-00935-3

Cited by 3 publications

(1 citation statement)

References 29 publications

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“…In addition, Wang et al [ 7 ] adopted a 3D elastic–plastic FEM to analyze the symmetrical flatness actuator efficiencies of a cold rolling mill. In addition, some researchers have established offline or online shape control models based on specific rolling conditions, mainly the characteristics of strip crown and shape actuators, detection instruments and control strategies [ 8 , 9 , 10 ]. However, the traditional theoretical calculation model is based on specific assumptions and simplified methods that obtain an approximate calculation result with certain errors.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of Shape Control Based on Digital Twin Technology in Hot Strip Rolling

Sun,

Li,

Sun

et al. 2024

Sensors

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Focusing on the problem of strip shape quality control in the finishing process of hot rolling, a shape model based on metal flow and stress release with the application of varying contact rolling parameters is introduced. Combined with digital twin technology, the digital twin framework of the shape model is proposed, which realizes the deep integration between physical time–space and virtual time–space. With the utilization of the historical data, the parameters are optimized iteratively to complete the digital twin of the shape model. According to the schedule, the raw material information is taken as the input to obtain the simulation of the strip shape, which shows a variety of export shape conditions. The prediction absolute error of the crown and flatness are less than 5 μm and 5 I-unit, respectively. The results prove that the proposed shape simulation model with strong prediction performance can be effectively applied to hot rolling production. In addition, the proposed model provides operators with a reference for the parameter settings for actual production and promotes the intelligent application of a shape control strategy.

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