摘要
针对智能弹药中的软回收系统排气装置,采用稀疏网格响应面模型与多目标遗传算法(multi-objective genetic algorithm,MOGA)联合对其进行优化设计。将初步参数模型作为流场边界条件,结合内弹道条件分析真实流场壁面上的压力分布;通过流固耦合分析得到排气管的应力变形分布,以此修正最终模型,得到排气管尺寸参数的最优解。结果表明,该设计可为回收系统精细化分析、试验奠定理论基础。
For the exhaust device of the soft recovery system in intelligent ammunition,the sparse grid response surface model and multi-objective genetic algorithm(MOGA)are combined to optimize its design.The initial parameter model is used as the boundary condition of the flow field,and the pressure distribution on the wall of the real flow field is analyze d in combination with the interior ballistic condition.Through the fluid-solid coupling analysis,the stress and deformation distribution of the exhaust pipe is obtained,and the final model is modified to obtain the optimal solution of the size parameters of the exhaust pipe.The results show that the design can lay a theoretical foundation for the fine analysis and test of the recovery system.
作者
冯建闯
潘孝斌
谈乐斌
薛滨
Feng Jianchuang;Pan Xiaobin;Tan Lebin;Xue Bin(School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China)
出处
《兵工自动化》
2023年第1期33-38,共6页
Ordnance Industry Automation
关键词
软回收
结构优化
响应面法
soft recovery
structure optimization
response surface method
