Structural multi-objective optimization of artillery recoil mechanism based on genetic algorithm

被引：0

作者：

Zhou, Le ^{[1
]}

Yang, Guo-Lai ^{[1
]}

Ge, Jian-Li ^{[1
]}

Wang, Fei ^{[1
]}

机构：

[1] School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, Jiangsu

来源：

Binggong Xuebao/Acta Armamentarii | 2015年 / 36卷 / 03期

关键词：

Genetic algorithm; Multi-objective optimization; Muzzle disturbance; Ordnance science and technology; Recoil mechanism; Recoil resistance;

D O I：

10.3969/j.issn.1000-1093.2015.03.008

中图分类号：

学科分类号：

摘要：

Recoil resistance and muzzle disturbance are the key factors influencing the firing accuracy. In order to reduce maximum value of recoil resistance and muzzle disturbance, a rigid-flexible coupling system dynamics model is established for a large caliber gun. In the case of recoil mechanism and overall structure, the basic development module of ADAMS is used in conjunction with niche genetic algorithm to solve the multi-objective optimization function for gun recoil mechanism. Maximum value of recoil resistance and muzzle disturbance can be effectively reduced through optimization. The result shows that the proposed optimization method is reasonable and feasible, and can provide reference for optimization design of overall structure and recoil mechanism. ©, 2015, China Ordnance Society. All right reserved.

引用

页码：433 / 436

页数：3

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