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针对目前棒材连轧孔型全域优化问题,提出了多种群遗传算法,可以解决标准遗传算法存在的全域收敛差问题,并结合某钢厂连轧棒材椭圆孔的几何参数进行了多种群遗传算法优化分析。采用刚塑性有限元法模拟优化前后的两道次连轧过程,并分析了连轧过程轧制力的变化情况。结合Matlab曲线拟合和符号积分方法,计算优化前后的轧制能耗并进行比较。同时,借助实际铅件轧制过程的轧制力测试结果,较好地验证了模拟结果的可靠性。结果表明:优化后的孔型可以有效地降低轧制能耗和轧辊的轧制压力。
In view of the current global optimization of the continuous casting and rolling pass, a multi-population genetic algorithm is proposed to solve the problem of global convergence in the standard genetic algorithm. The multi-population genetic algorithm Algorithm Optimization Analysis. The rigid-plastic finite element method was used to simulate the two-pass continuous rolling process before and after optimization, and the variation of rolling force during continuous rolling was analyzed. Combining with Matlab curve fitting and symbol integral method, the rolling energy consumption before and after optimization was calculated and compared. At the same time, the reliability of the simulation results is well verified by the rolling force test results of the actual lead rolling process. The results show that the optimized hole size can effectively reduce the rolling energy consumption and roll rolling pressure.