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Multi-objectives nonlinear structure optimization for actuator in trajectory correction fuze subject to high impact loadings

Multi-objectives nonlinear structure optimization for actuator in trajectory correction fuze subject to high impact loadings

作     者:Jiang-hai Hui Min Gao Ming Li Ming-rui Li Hui-hui Zou Gang Zhou Jiang-hai Hui;Min Gao;Ming Li;Ming-rui Li;Hui-hui Zou;Gang Zhou

作者机构:Northwest Institute of Nuclear TechnologyXi’an710025China Shijiazhuang CampusArmy Engineering UniversityShijiazhuang050003China 

出 版 物:《Defence Technology(防务技术)》 (Defence Technology)

年 卷 期:2021年第17卷第4期

页      面:1338-1351页

核心收录:

学科分类:082601[工学-武器系统与运用工程] 08[工学] 0826[工学-兵器科学与技术] 

基  金:The authors would like to acknowledge National Defense Pre-Research Foundation of China(Grant No.41419030102)to provide fund for conducting experiments 

主  题:Actuator Trajectory correction fuze Impact loadings Optimized Latin hypercube design Kriging model Optimization algorithm 

摘      要: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 ***,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’***,multi-objectives optimization still needs to be conducted for the gaskets to decrease the stress value further to the yield *** gasket’s structure parameters and three bearings’peak-peak stress are served as the four optimization variables and three objectives,*** 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 ***,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 *** can be concluded that the simulation and optimization method based on these components is effective and efficient.

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