A novel method based on modified particle swarm optimization (IPSO) with mutation algorithm was proposed to optimize water quantity in secondary cooling process in the continuous slab casting.
提出了一种基于带有变异算子的改进粒子群算法对二冷区水量进行优化的新方法。
During the producing process of slab caster, secondary cooling system is a very important factor which influences slab quality.
在板坯铸机的生产过程中，二次冷却制度是影响铸坯质量的重要因素。
The steel liquid superheat, velocity and rule of secondary cooling are important process parameters influence on billet internal quality.
钢水过热度、拉速和二冷制度是影响铸坯内部质量的重要工艺参数。
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