Journal Article

Virtual commissioning and process parameter optimization of rolling mill based on digital twin

Zhang, Yang, Zhang, Huan, Ma, Xingwang, Du, Xiaozhong, Wang, Weizhong, Hu, Yijian

2024

Overview

The vibration of the rolling mill has been a persistent issue affecting its safe and stable operation. To address the vibration problem in the F2 stand of a continuous rolling mill, this paper establishes a digital twin model of the rolling mill. Based on the digital twin model, a rolling mill virtual commissioning framework has been proposed to enhance the accuracy of real-time data and improve the utilization of production data, laying the foundation for reducing vibration during the operation of the rolling mill. In this process, we first construct a digital twin framework for the rolling mill, consisting of four levels: physical rolling mill, virtual rolling mill, twin data, and services. Next, an online data acquisition and virtual commissioning framework is established to achieve a state mapping from the physical rolling mill to the virtual rolling mill. Finally, using the digital twin model, the effects of real-time process parameter optimization are analyzed. The impact of process parameter optimization on the dynamic response of the rolling mill system is examined. The optimized rolling process parameters effectively reduce the vertical vibration of the rolling mill system.

• Publisher: Springer Nature B.V
• Subject: Commissioning / Continuous rolling / Data acquisition / Digital twins / Dynamic response / Impact analysis / Mathematical models / Optimization / Process parameters / Real time / Rolling mills / Vibration control