Abstract
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.
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Funding
The authors are grateful for the support of the National Natural Science Foundation of China (Grant No. 52375366), National Natural Science Foundation of China (Grant No. 51905365), Grant From of Shanxi Major Science and Technology Projects (Grant No. 20181102015), and Shanxi Province Excellent Graduate Innovation Project (Grant No. 2021Y671).
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All authors contributed to the study’s conception and design. Material preparation and data collection were performed by Yang Zhang, digital twin modeling and analysis by Yijian Hu, communication system construction by Huan Zhang and Weizhong Wang, optimization algorithm establishment by Xingwang Ma, and material curation by Xiaozhong Du to proceed and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Hu, Y., Zhang, Y., Ma, X. et al. Virtual commissioning and process parameter optimization of rolling mill based on digital twin. Int J Adv Manuf Technol 130, 705–716 (2024). https://doi.org/10.1007/s00170-023-12718-x
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DOI: https://doi.org/10.1007/s00170-023-12718-x