Abstract：In order to study the influence of process parameters of tension leveler on elongation,based on elastic-plastic mechanics theory,the deformation process of tension leveler was analyzed,and the mathematical model of elongation was established. The mathematical model of elongation was optimized by multi-objective particle swarm optimization algorithm. According to the equipment characteristics of tension leveler,the parameter optimization constraint range was determined. The optimization calculation program of tension leveler process parameters was developed based on Python language,and the set value of tension leveler process parameters was optimized. In order to verify the correctness of parameter optimization results,taking the elongation of strip as the verification target,the industrial test research of tension leveler was carried out. The predicted value calculated by optimization program was compared with the field test value,and the accuracy of prediction model was judged by MSE and MAPE. The experimental results show that the process parameters optimized by the process parameter optimization model of the tension leveler can significantly improve the production efficiency of the tension leveler,and have a guiding role for the production site,and the technology has considerable market promotion prospects.
陈兵, 唐晓垒, 韩烬阳, 管奔. 基于粒子群算法的拉矫机工艺参数优化设计[J]. 钢铁, 2021, 56(4): 111-121.
CHEN Bing, TANG Xiao-lei, HAN Jin-yang, GUAN Ben. Optimization design of tension leveler process parameters based on particle swarm optimization[J]. Iron and Steel, 2021, 56(4): 111-121.
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2021, Vol. 56 
