Visualization Real-Time Monitoring Platform for Ultra-Thin Strip Rolling Mills Based on Digital Twin Technology
The stable operation of a rolling mill is crucial for the extremely thin strip rolling process. Moreover, the performance of the rolling mill directly dictates the quality of the extremely thin strip products. In view of the lack of research on the digital twin model and condition monitoring of twenty-high rolling mills, this paper takes the Sendzimir 280 mm twenty-high reversible rolling mill, an extremely thin strip rolling equipment, as the research object, and conducts digital twin modeling and visualization design for it. First and foremost, finite element analysis and vibration analysis were conducted on the rolling mill, based on which the finite element model and dynamics model of the twenty-high rolling mill were established. Secondly, through a comparison between the vibration data of the rolling mill obtained from simulation and those of the physical rolling mill, the accuracy of the simulation model was validated. Finally, a digital twin model of the rolling mill was constructed based on the finite element model and the dynamics model, and the digital twin model of the rolling mill was built using Unity (version 2022.3.57, Unity Technologies, San Francisco, CA, USA) software to complete the visualization design of the digital twin model. The results show that the digital twin platform of the rolling mill established in this paper achieves a high degree of similarity between the virtual rolling mill and the physical one, which proves the effectiveness of the platform and can meet the actual engineering requirements.
Authors
- Liqun Hu (ORCID: https://orcid.org/0000-0003-1772-4163)
- Chaoyue Ji (ORCID: https://orcid.org/0000-0003-2480-2422)
- Lifeng Ma (ORCID: https://orcid.org/0000-0003-2552-281X)
- Sijing Wang (ORCID: https://orcid.org/0000-0002-1933-003X)
- Yang Zhang (ORCID: https://orcid.org/0000-0002-3214-766X)
- Chenchen Zhi
- Yijian Hu
- Shangju Hu
Institutions
- Tianjin Special Equipment Supervision and Inspection Technology Research Institute (CN)
- Taiyuan Iron and Steel Group (China) (CN)
- Taiyuan University of Science and Technology (CN)
- Taiyuan University of Technology (CN)
Publication Details
- Journal
- Processes
- Published
- 2025-12-17
- DOI
- https://doi.org/10.3390/pr13124075
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China