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

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. Sub...

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Main Authors: Jiang-hai Hui, Min Gao, Ming Li, Ming-rui Li, Hui-hui Zou, Gang Zhou
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2021-08-01
Series:Defence Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214914720304013
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spelling doaj-206f5dea9fc14a1f9ae9c133f92a28972021-07-11T04:27:46ZengKeAi Communications Co., Ltd.Defence Technology2214-91472021-08-0117413381351Multi-objectives nonlinear structure optimization for actuator in trajectory correction fuze subject to high impact loadingsJiang-hai Hui0Min Gao1Ming Li2Ming-rui Li3Hui-hui Zou4Gang Zhou5Northwest Institute of Nuclear Technology, Xi’an, 710025, ChinaShijiazhuang Campus, Army Engineering University, Shijiazhuang, 050003, ChinaNorthwest Institute of Nuclear Technology, Xi’an, 710025, ChinaNorthwest Institute of Nuclear Technology, Xi’an, 710025, ChinaNorthwest Institute of Nuclear Technology, Xi’an, 710025, ChinaNorthwest Institute of Nuclear Technology, Xi’an, 710025, China; Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S2214914720304013ActuatorTrajectory correction fuzeImpact loadingsOptimized Latin hypercube designKriging modelOptimization algorithm
collection DOAJ
language English
format Article
sources DOAJ
author Jiang-hai Hui
Min Gao
Ming Li
Ming-rui Li
Hui-hui Zou
Gang Zhou
spellingShingle Jiang-hai Hui
Min Gao
Ming Li
Ming-rui Li
Hui-hui Zou
Gang Zhou
Multi-objectives nonlinear structure optimization for actuator in trajectory correction fuze subject to high impact loadings
Defence Technology
Actuator
Trajectory correction fuze
Impact loadings
Optimized Latin hypercube design
Kriging model
Optimization algorithm
author_facet Jiang-hai Hui
Min Gao
Ming Li
Ming-rui Li
Hui-hui Zou
Gang Zhou
author_sort Jiang-hai Hui
title Multi-objectives nonlinear structure optimization for actuator in trajectory correction fuze subject to high impact loadings
title_short Multi-objectives nonlinear structure optimization for actuator in trajectory correction fuze subject to high impact loadings
title_full Multi-objectives nonlinear structure optimization for actuator in trajectory correction fuze subject to high impact loadings
title_fullStr Multi-objectives nonlinear structure optimization for actuator in trajectory correction fuze subject to high impact loadings
title_full_unstemmed Multi-objectives nonlinear structure optimization for actuator in trajectory correction fuze subject to high impact loadings
title_sort multi-objectives nonlinear structure optimization for actuator in trajectory correction fuze subject to high impact loadings
publisher KeAi Communications Co., Ltd.
series Defence Technology
issn 2214-9147
publishDate 2021-08-01
description 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.
topic Actuator
Trajectory correction fuze
Impact loadings
Optimized Latin hypercube design
Kriging model
Optimization algorithm
url http://www.sciencedirect.com/science/article/pii/S2214914720304013
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