基于遗传算法的飞机客舱门手柄凸轮轮廓曲线优化
CSTR:
作者:
作者单位:

南京航空航天大学机电学院,南京 210016

作者简介:

通讯作者:

刘雷,男,副教授, E-mail:liulei6278@nuaa.edu.cn。

中图分类号:

V223

基金项目:


Optimization of Aircraft Cabin Door Handle Cam Profile Curve Based on Genetic Algorithm
Author:
Affiliation:

College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    作为舱门操作的核心部件,舱门手柄凸轮机构直接影响舱门的操作效率与安全性能。为提高舱门操作效率,改善手柄凸轮的接触特性及从动件负载,采用非支配排序遗传算法(Non-dominated sorting genetic algorithm Ⅱ, NSGA-Ⅱ)对舱门手柄凸轮机构进行了多目标优化设计。优化结果表明:该算法提升驱动曲线优化效果显著,压力角、阻力和阻力矩均有所降低,曲率半径得到了适当增大;泄压门驱动曲线的优化效果较弱,但仍实现了一定的性能提升。该研究为舱门凸轮机构的优化设计提供了有效的解决方案,具有良好的实际应用前景。

    Abstract:

    As the key component of cabin door operation, the cam mechanism of cabin door handle directly affects the efficiency and safety of cabin door operation. To improve the operation efficiency of the cabin door, the non-dominated sorting genetic algorithmⅡ (NSGA-Ⅱ) is employed for the multi-objective optimization design of the cabin door handle cam mechanism. The optimization results indicate significant improvements on the performance of the driving curve. Specifically, the pressure angle, the resistance and the resistance torque are all reduced, and the curvature radius is increased. The optimization effect of the relief valve drive curve is relatively weak, but still achieve a certain degree of enhancement. This study provides an effective solution for the optimization design of cabin door cam mechanisms and has good practical application prospects.

    参考文献
    相似文献
    引证文献
引用本文

龚旭彬,刘雷,何胜聪.基于遗传算法的飞机客舱门手柄凸轮轮廓曲线优化[J].南京航空航天大学学报,2025,57(3):527-534

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2024-12-23
  • 最后修改日期:2025-03-11
  • 录用日期:
  • 在线发布日期: 2025-06-20
  • 出版日期:
文章二维码
您是第位访问者
网站版权 © 南京航空航天大学学报
技术支持:北京勤云科技发展有限公司