About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Algorithms Development in Materials Science and Engineering
|
| Presentation Title |
An Optimization Method for Continuous Casting Start-Time Decision Considering Equipment Capacity and Metal Resource Characteristics |
| Author(s) |
Yang Yongjie, Zheng Zhong, Zhipeng Yang, Xueying Liu, Xiao Wan |
| On-Site Speaker (Planned) |
Yang Yongjie |
| Abstract Scope |
The coordination of multi-process production rhythms between steelmaking and continuous casting is critical to ensuring the stable and efficient operation of the steel manufacturing process. The rational scheduling of continuous casting start times directly affects equipment capacity utilization and overall production efficiency. This paper proposes an intelligent decision-making method for determining continuous casting start times, considering capacity constraints and metallurgical resource characteristics. Based on the equipment capabilities for refining operations involving multiple steel grades and the scheduling rhythm of steelmaking charges, an optimization model is developed for casting start time decisions. The model aims to match the production rhythms of steelmaking and refining, ensure casting continuity, and balance metal resources, while incorporating constraints related to process characteristics, equipment requirements, and production organization. Industrial validation demonstrates that the proposed method effectively improves equipment utilization, enhances the controllability of production rhythms, and boosts overall process efficiency. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, Iron and Steel, Modeling and Simulation |