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Multi-objectives nonlinear structure optimization for actuator in trajectory correction fuze subject to high impact loadings
Defence Technology ( IF 5.1 ) Pub Date : 2020-07-15 , DOI: 10.1016/j.dt.2020.07.004
Jiang-hai Hui , Min Gao , Ming Li , Ming-rui Li , Hui-hui Zou , Gang Zhou

This paper presents an actuator used for the trajectory correction fuze, which is subject to high impact loadings during launch. A simulation method is carried out to obtain the peak-peak stress value of each component, from which the ball bearings are possible failures according to the results. Subsequently, three schemes against impact loadings, full-element deep groove ball bearing and integrated raceway, needle roller thrust bearing assembly, and gaskets are utilized for redesigning the actuator to effectively reduce the bearings’ stress. However, multi-objectives optimization still needs to be conducted for the gaskets to decrease the stress value further to the yield stress. Four gasket’s structure parameters and three bearings’ peak-peak stress are served as the four optimization variables and three objectives, respectively. Optimized Latin hypercube design is used for generating sample points, and Kriging model selected according to estimation result can establish the relationship between the variables and objectives, representing the simulation which is time-consuming. Accordingly, two optimization algorithms work out the Pareto solutions, from which the best solutions are selected, and verified by the simulation to determine the gaskets optimized structure parameters. It can be concluded that the simulation and optimization method based on these components is effective and efficient.



中文翻译:

高冲击载荷下弹道修正引信作动器多目标非线性结构优化

本文介绍了一种用于弹道修正引信的致动器,它在发射过程中受到高冲击载荷。通过模拟方法得到各部件的峰峰值应力值,根据结果得出球轴承可能发生故障的情况。随后,采用三种抗冲击载荷方案、全元件深沟球轴承和集成滚道、滚针推力轴承组件和垫片对执行器进行重新设计,以有效降低轴承应力。然而,仍需要对垫片进行多目标优化,以进一步降低应力值至屈服应力。四个垫片的结构参数和三个轴承的峰峰值应力分别作为四个优化变量和三个目标。采用优化的拉丁超立方体设计生成样本点,根据估计结果选择的克里金模型可以建立变量和目标之间的关系,代表模拟耗时。相应地,两种优化算法计算出帕累托解,从中选择最佳解,并通过模拟验证以确定垫片优化的结构参数。可以得出结论,基于这些组件的仿真和优化方法是有效且高效的。两种优化算法计算出帕累托解,从中选出最佳解,并通过仿真验证确定垫片优化后的结构参数。可以得出结论,基于这些组件的仿真和优化方法是有效且高效的。两种优化算法计算出帕累托解,从中选出最佳解,并通过仿真验证确定垫片优化后的结构参数。可以得出结论,基于这些组件的仿真和优化方法是有效且高效的。

更新日期:2020-07-15
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