基于网格变形技术的机枪三脚架多目标响应面优化  

Multi-objective optimization combining response surface model of machine gun tripod based on mesh morphing technology

作　　者：华洪良[1] 廖振强[1] 邱明[1] 宋杰[1] 李佳圣[1] 

机构地区：[1]南京理工大学机械工程学院,南京210094

出　　处：《振动与冲击》2015年第16期141-146,共6页Journal of Vibration and Shock

基　　金：国家自然科学基金(51375241;51376090)

摘　　要：针对使用过程中枪架弹性变形过大影响射击精度问题,提出网格变形、Plackett-Burman试验设计、多目标优化相结合提高枪架刚度的解决方案。利用网格变形技术定义形状变量,据Plackett-Burman试验设计筛选对目标函数显著度高的形状变量;采用优化拉丁方试验设计对整个设计空间均匀采样,据样本点拟合高精度Kriging响应面模型;以三脚架质量为约束,轴向、横向弯曲刚度为目标函数,用多目标遗传优化算法(MOGA)对响应面模型进行寻优。研究表明,该方法能同时提高三脚架轴向、横向刚度,可据Pareto最优解集合权衡各目标进行决策。Tripod is an important part of the machine gun. The elastic deformation ot tripod when firing has been identified as a major cause of influencing machine gun firing accuracy. In view of the problem, a method integrating mesh morphing technology, Plackett-Burman design and multi-objective optimization was proposed to improve the tripod stiffness. The mesh morphing technology was employed to define the shape variables, the Plackett-Burman design was utilized to detelTaine the significant variables affecting the objectives and an optimal Latin hypercube sampling was utilized to generate uniformly distributed sampling points for fitting the Kriging response surface models with high accuracy. Further more, these response surface models were optimized by using the multi-objective genetic algorithm （MOGA） where the mass was defined as a constraint function and the axial bending stiffness and lateral bending stiffness were defined as objective functions. The Pareto optimal solution set was finally obtained. The conclusion can be drawn that the proposed methodology can improve the axial bending stiffness and lateral bending stiffness at the same time, and engineers can handle the trade-off between the objectives for guiding the decision-making.

关 键 词：网格变形 形状优化 多目标遗传优化 响应面 

分 类 号：TH212[机械工程—机械制造及自动化] TH213.3