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| Co-optimization method of casting speed-cooling water in an unsteady continuous casting process |
| ZHANG Kai-tian1, ZHENG Zhong1, ZHU Ming-mei1, LIN Hong-yu2, JIANG Kun-chi1 |
1. School of Materials Science and Engineering, Chongqing University, Chongqing 400044, China;
2. Cell Research Institute, Sunwoda Electric Vehicle Battery Co.,Ltd., Huizhou 516123, Guangzhou, China |
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Abstract Aiming at the problem that abnormal cooling intensity in unsteady continuous casting is easy to lead to defects in slab quality, an improved genetic algorithm was proposed to optimize the casting speed and cooling water from the perspective of system cooling. Based on the analysis of the industrial continuous casting data of a Chinese steel plant for three months, it was found that the unsteady continuous casting, such as the beginning casting, ending casting, change the nozzle, and change the tundish, due to the poor coordination between the casting speed and cooling water, leads to insufficient cooling intensity, which affects the quality of slab and continuous casting efficiency. The genetic algorithm was improved from the aspects of optimization objective and selection operator, so as to improve the convergence speed and optimization ability of the model while generating feasible solutions. The results show that the model optimization scheme met the industrial process rules, and the average heat release of the unsteady continuous casting system was increased from 45.87% to 49.05%, which is within a reasonable range, by appropriately increasing the secondary cooling water flow rate. This optimization method could guide the production control for the continuous casting system.
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Received: 14 October 2022
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2022, Vol. 41 
