摘要
针对一种新型桨叶控制系统的活塞开展多目标优化设计研究。首先,建立了活塞的有限元模型,通过静力学分析,确定活塞具有轻量化的潜力;其次,以质量最小、最大位移最小、最大应力最小为优化目标,以结构参数为设计变量,以强度和刚度安全为约束条件,并采用Box-Behnken试验设计结合响应面法建立了优化目标函数的代理模型;然后,采用NSGA-Ⅱ算法进行求解,根据设计变量的优化结果得到优化后的活塞模型;最后,通过对优化后模型进行静力学分析,并与初始模型对比,在保证最大应力和位移均在允许范围内的情况下,活塞质量减小了约22%。通过对优化后模型进行屈曲分析,证明其压杆稳定性良好,验证了该优化设计方法的有效性,为新型桨叶控制系统的高性能设计提供技术基础。
The multi-objective optimization design of piston for a new blade control system was researched.Firstly,the finite element model of the piston was established,and the potential of lightweight piston was determined by static analysis.Secondly,the mass is minimized,the maximal stress is minimized,the maximal deformation is minimized as the optimization objectives were determined,taking structure parameters as design variables,taking strength and stiffness safety as constraint conditions,the Box-Behnken experiment design combined with the Response Surface Methodology were used to establish proxy models for optimizing the objective functions.Thirdly,the optimal solution was obtained by using NSGA-II algorithm,and the optimized model of piston was obtained.Finally,through static analysis of the optimized model and comparison with the initial model,the mass of piston was reduced by about 22%while ensuring the maximum stress and displacement were within the allowable range,and then through the buckling analysis of the optimized model,it was proved that the stability of the compression rod is good,and the effectiveness of the optimization design method was verified.It provides the technical basis for the high-performance design of the new blade control system.
作者
魏秀峰
贺莹
田子轩
孙江
邵宏宇
WEI Xiufeng;HE Ying;TIAN Zixuan;SUN Jiang;SHAO Hongyu(Tianjin Tianfa general factory Electromechanical Equipment Co.,Ltd.,Tianjin 300404;School of Mechanical Engineering,Tianjin Renai College,Tianjin 301636;School of Mechanical Engineering,Tianjin University,Tianjin 300072)
出处
《机械设计》
CSCD
北大核心
2024年第S02期155-159,共5页
Journal of Machine Design
基金
天津市教学成果奖重点培育项目(PYGJ-B038)
关键词
新型桨叶控制系统
活塞
多目标优化
静力学分析
屈曲分析
new blade control system
piston
multi-objective optimization
static analysis
buckling analysis