摘要
为了减少舰炮的反后坐装置振动响应和后坐阻力,基于刚柔耦合动力学理论,以某型舰炮为研究对象,通过采用CATIA建立反后坐装置模型,Hypermesh划分模型网格,在ABAQUS有限元软件中施加发射载荷,最终建立了反后坐装置刚柔耦合有限元模型并与实炮射击试验值进行对比。针对反后坐装置结构复杂、优化参数和优化目标较多的特点,提出混沌量子粒子群算法与动力学联合优化的方法,进行反后坐装置的多目标优化,优化结果表明:优化后的最大阻力峰值为2.40×10^4 N,较优化前降低了7.69%;优化后的后座长度峰值为0.77 m,较优化前降低了3.75%;优化后的衬瓦速度峰值为10.2 m/s,较优化前降低了7.27%;优化后的振动加速度峰值为3100 m/s^2,较优化前降低了17.33%。优化后的振动响应、最大阻力、后座长度和衬瓦速度与优化前相比显著减小,优化方法有效可行,为下一步全炮总体优化设计提供了一定的参考。
The artillery recoil mechanism is a key component of the naval gun.To reduce the recoil vibration response and recoil resistance,based on the rigid-flexible coupling dynamics theory,we took a certain type of naval gun as the research object,used CATIA to establish the model of an anti-rear device,used Hypermesh to divide the model mesh,and applied the launching load in the finite element software ABAQUS.Lastly,we established a rigid-flexible coupled finite element model for the artillery recoil mechanism,and then compared with the naval gun firing test results.With consideration of the complex structure of the artillery recoil mechanism,and more optimization parameters and objectives,we proposed a new chaotic quantum particle swarm optimization algorithm and dynamic joint optimization approach to realize multi-objective optimization of the artillery recoil mechanism.The optimization results indicate that the peak optimized maximum resistance is 2.40×10^4 N,which is 7.69%less than that before optimization;the peak optimized rear seating length is 0.77 m,which is 3.75%lower than that before optimization;the peak optimized lining speed is 10.2 m/s,which is 7.27%lower than that before optimization;and the peak optimized vibration acceleration is 3100 m/s^2,which is 17.33%lower than that before optimization.Compared with the values before optimization,the optimized vibration response,maximum resistance,rear seating length,and lining speed are significantly reduced.These results verify the effectiveness and feasibility of the proposed optimization method,which can provide a reference for the further overall design of the entire naval gun.
作者
刘国强
陈维义
陈华东
程晗
LIU Guoqiang;CHEN Weiyi;CHEN Huadong;CHENG Han(Department of Ordnance Engineering, Naval University of Engineering, Wuhan 430033, China)
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2020年第5期655-660,共6页
Journal of Harbin Engineering University
基金
国家自然科学基金项目(51679245)
国家自然科学青年基金项目(51509253)。
关键词
舰炮
反后坐装置
混沌量子粒子群算法
多目标优化
后坐阻力
后坐长度
衬瓦速度
振动响应
naval gun
recoil mechanism
chaotic quantum particle swarm optimization algorithm
multi-objective optimization
rear seating resistance
squat length
lining speed
vibration response
