近些年连铸过程模拟成为研究的重点，模拟的根本目的在于优化连铸过程。为在保证连铸坯质量的前提下进一步提高连铸生产率，基于数学上的子问题接近优化技术建立了连铸过程二冷参数优化系统，可对不同钢种、不同拉速、不同冶金限制准则下的二冷各段配水进行最优化。运用优化后的这些过程参数，将使铸机以最大生产率、最小消耗运行，同时又保证了生产无缺陷铸坯。整个优化系统包括两个模块，一个是热过程模拟模块，另一个是设计优化模块，系统靠在两个模块之间反复自动循环调用而使参数得到优化。
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.
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