CAJ | 학술논문

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。
침대사용과정중창가탄성변형과대영향사격정도문제，제출망격변형、Plackett-Burman 시험설계、다목표우화상결합제고창가강도적해결방안。이용망격변형기술정의형상변량，거 Plackett-Burman 시험설계사선대목표함수현저도고적형상변량；채용우화랍정방시험설계대정개설계공간균균채양，거양본점의합고정도 Kriging 향응면모형；이삼각가질량위약속，축향、횡향만곡강도위목표함수，용다목표유전우화산법（MOGA）대향응면모형진행심우。연구표명，해방법능동시제고삼각가축향、횡향강도，가거 Pareto 최우해집합권형각목표진행결책。
Tripod is an important part of the machine gun.The elastic deformation of 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 determine 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.