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Online optimization of continuous casting cutting.
Jing Li1, Jianjing Zhang2, Xiaoru Xing2
1Hebei Institute of Mechanical and Electrical Technology, Xingtai, 054000, Hebei, China. 2803790368@qq.com.
Scientific Reports
|July 4, 2025
Summary
This study introduces an online algorithm for optimizing steel continuous casting cuts. It minimizes waste and meets demands by adjusting cutting schemes in real-time, enhancing production efficiency.
Area of Science:
- Metallurgical Engineering
- Operations Research
Background:
- Continuous casting is crucial for steel production efficiency.
- Optimizing the cutting process is vital for minimizing material waste and meeting customer demands.
- Real-time adjustments are needed to handle production abnormalities.
Purpose of the Study:
- To propose an online optimization algorithm for the steel continuous casting cutting problem.
- To enhance production continuity and efficiency through real-time cutting scheme adjustments.
- To reduce material waste and secondary cutting operations.
Main Methods:
- Developed an optimization model combining nested models and analytical modeling.
- Utilized computer traversal algorithms for optimization.
- Implemented an online algorithm for real-time adjustments during production.
Main Results:
- Demonstrated significant reduction in cutting losses.
- Successfully met diverse production requirements.
- Minimized the need for secondary cutting operations.
- Showcased broad practical application potential.
Conclusions:
- The proposed online optimization algorithm effectively addresses cutting optimization in steel continuous casting.
- Real-time adjustments ensure production continuity and efficiency even with abnormalities.
- The method offers substantial improvements in waste reduction and operational efficiency.
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