1. College of Materials Science and Engineering, Yanshan University, Qinhuangdao 066004, Hebei, China; 2. School of Metallurgy and Energy Engineering, Hebei Polytechnics University, Tangshan 063009, Hebei, China;3. Tangshan Heavy Plate Co., Ltd., Tangshan 063600, Hebei, China; 4. Shijiazhuang Iron and Steel Co., Ltd., Shijiazhuang 050031, Hebei, China
Abstract：The essential aim of building numerical models for any process is to optimize it. The use of optimization strategies can be seen as a useful tool in the search of operational parameters that maximize or minimize some result of a dynamic process. In order to ensure product quality and high productivity, based on the subproblem approximation method，an artificial intelligence optimization system was established to search out the optimum water consumption in secondary cooling zone of continuous casting. This system can optimize the parameters of continuous casting for different steel grades,at different casting speed,with different metallurgical constraints and etc. The optimum process parameters would make it possible to run the caster at its maximum productivity, minimum cost and to cast defect free products. The optimization system, which includes both a numerical heat transfer module and a design optimization module, works by automatic iteration between the two modules.
陈伟;张玉柱;王宝祥;谢丽萍. 连铸二冷参数的优化和控制研究[J]. 钢铁, 2007, 42(3): 25-0.
CHEN Wei;ZHANG Yuzhu;WANG Baoxiang;XIE Liping. Optimization and Control of Secondary Cooling Parameters of Continuous Casting. Iron and Steel, 2007, 42(3): 25-0.
2007, Vol. 42 
