基于粒子群算法的拉矫机工艺参数优化设计

为了研究带材在拉弯矫直过程中拉矫机工艺参数对伸长率的影响,基于弹塑性力学理论,分析了带材拉弯矫直工艺变形过程,建立了带材伸长率的数学模型,采用多目标粒子群优化算法对伸长率数学模型进行优化计算,根据拉矫机装备特征,确定参数优化约束范围,基于Python语言开发了拉矫机工艺参数优化计算程序,实现了拉矫机工艺参数设定值优化....

Optimization design of tension leveler process parameters based on particle swarm optimization

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.