基于板形控制铝热连轧规程的研究与应用  

Research and application of rolling schedule on hot tandem rolling mill for flatness control

作　　者：陈振华[1] 蔡庆伍[1] 

机构地区：[1]北京科技大学冶金工程研究院,北京100083

出　　处：《轻合金加工技术》2013年第2期31-35,49,共6页Light Alloy Fabrication Technology

摘　　要：利用测试函数对基本粒子群算法(BPSO)、小生境粒子群算法、改进的粒子群算法(IPSO)的性能进行对比,结果表明,与基本粒子群算法相比,改进粒子群算法具有计算精度更高、收敛速度更快、搜索能力更强等优点,是一种适合铝热连轧负荷分配优化的新方法,对铝材的生产有一定的指导意义。结合项目的热连轧机实际工况,建立了轧制过程的数学模型。以各机架的出口厚度为自变量,以能耗及板形良好为目标,利用BPSO和IPSO算法对铝合金的4机架热连轧轧制规程进行优化,得到最佳的轧制负荷分配。The performances of basic particle swarm algorithm （BPSO）, small habitat par- ticle swarm algorithm and improved particle swarm algorithm （IPSO） have been compared u- sing testing functions. The simulating and comparing results show that the IPSO is a suitable way to optimizing hot rolling load distribution on tandem hot rolling mill, because the im- proved particle swarm algorithm possesses higher calculation accuracy, faster convergence speed and stronger exploration ability than those of BPS0. The IPS0 can be taken as a guide for aluminum rolling on tandem rolling mill. In combination with the actual situation of work- ing site, the mathematical model of the rolling process has been established. Taking thickness self-variations at exit of each rolling stand, using BPSO and IPSO, to produce strip with excel- lent flatness and low energy consumption, aluminum alloy hot rolling schedule of the 4-stand tandem rolling mill has been optimized. The optimized schedule made the rolling load distri- bution optimized as well.

关 键 词：热连轧 负荷分配优化 数学模型 改进粒子群算法 

分 类 号：TG335.1[金属学及工艺—金属压力加工]