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针对冷连轧机高速轧制过程中带钢容易发生打滑的现象,分析了这种打滑现象的物理过程,建立了打滑因子的数学模型,用来表征打滑现象发生的概率。应用该模型研究了基于粒子群优化算法的冷连轧机架间张力优化算法。采用某钢厂现场轧制数据进行了优化算法的仿真试验,结果表明,经过优化后的打滑因子明显减小,打滑现象发生的概率显著降低,通过张力的优化可以很好地控制打滑现象的发生。
In view of the phenomenon that the strip is prone to slipping during the high speed rolling process of the tandem cold mill, the physical process of the slipping phenomenon is analyzed. A mathematical model of the slipping factor is established to characterize the probability of occurrence of the slipping phenomenon. The model is applied to study the tension optimization algorithm of cold tandem rolling mill based on particle swarm optimization algorithm. The simulation experiment of the optimization algorithm is carried out on the rolling data of a steel mill. The results show that the optimized slippage factor is obviously reduced and the probability of slippage is significantly reduced. The occurrence of slippage can be well controlled by the optimization of tension .