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Research of rolling shear motion laws based on improved PSO

机译:基于改进PSO的滚动剪切运动规律研究

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Making pure rolling shear as the target, based on the principles analysis of shear mechanism in the rolling shear, trajectories of the overlap and the horizontal displacement of the upper blade during the cutting process are directly calculated out. And then the trajectories are optimized with improved natural selection-based particle swarm optimization algorithm (selPSO) deemed lengths of the key rods as variables. On this basis, motion laws of the driving links are reversely worked out through solving position equations of the rolling shear’s mechanism, which are nonlinear equations, with selPSO. The calculated results show that the synthetic horizontal translation (mean value of all horizontal displacement relating to calculated points) of the upper blade reduced by 34.96% and the overlap becomes a constant, which can realize the pure rolling cutting very well and improve the shear quality of the steel plate; selPSO is applicable to solve nonlinear equations in the project, which can overcome the problem of high sensitivity to initial value and improve the computational efficiency.
机译:以纯轧制剪切为目标,基于轧制剪切中剪切机理的原理分析,直接计算出切割过程中上部刀片的重叠轨迹和水平位移。然后使用改进的基于自然选择的粒子群优化算法(selPSO)来优化轨迹,这些算法将关键杆的长度视为变量。在此基础上,通过使用selPSO求解滚动剪切机构的位置方程(非线性方程),可以逆向计算出驱动连杆的运动规律。计算结果表明,上刀片的合成水平平移(与计算点有关的所有水平位移的平均值)减少了34.96%,重叠部分变为常数,可以很好地实现纯滚动切削并提高剪切质量钢板的; selPSO适用于求解项目中的非线性方程,可以克服对初始值的高灵敏度问题,提高计算效率。

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