航空学报 > 2022, Vol. 43 Issue (6): 525892-525892   doi: 10.7527/S1000-6893.2021.25892

变弯度机翼后缘偏心梁设计与验证

张盛, 杨宇, 王志刚, 石欣桐   

  1. 中国飞机强度研究所, 西安 710065
  • 收稿日期:2021-05-31 修回日期:2022-05-10 出版日期:2022-06-15 发布日期:2022-07-07
  • 通讯作者: 张盛,E-mail:zhangsheng@cae.ac.cn E-mail:zhangsheng@cae.ac.cn

Design and validation of eccentric beam for variable camber trailing edge

ZHANG Sheng, YANG Yu, WANG Zhigang, SHI Xintong   

  1. Aircraft Strength Research Institute of China, Xi'an 710065, China
  • Received:2021-05-31 Revised:2022-05-10 Online:2022-06-15 Published:2022-07-07

摘要: 针对基板弯曲变形的变弯度柔性机翼后缘结构难以精确变形、承载差的问题,提出了一种多变形控制点偏心梁驱动结构,设计了偏心梁与柔性后缘结构连接。根据变形目标要求,通过ABAQUS二次开发的参数化非线性简化模型程序、粒子群算法程序对驱动变形控制点数量及位置进行了优化分析;通过载荷分析计算了偏心梁的变形控制点补偿位移。搭建了非接触测试系统测试了结构的变形。测试结果表明:结构偏转角度达到15°,变形后轮廓与变形目标吻合较好,翼尖处的最大误差在2 mm以内,结构驱动方案及优化方法可行。

关键词: 变弯度机翼后缘, 偏心梁, 变形控制点, 粒子群算法, 优化分析

Abstract: The trailing edge structure of flexible wing with variable curvature based on the bending deformation of base plate is difficult to deform accurately, and has poor bearing capacity. A driving structure for the eccentric beam with multiple morphing control points is proposed. Connection between the eccentric beam and the flexible trailing edge structure is designed. According to the requirement of the deformation target, a simplified parameterized nonlinear model code is developed by ABAQUS secondary development, and a program based on particle swarm optimization and the model code is developed for optimization of numbers and positions of control points. The compensated displacement in morphing control points is calculated by loads analysis. A non-contact measurement system is built to test the deformation of the structure. The results show that the deflection angle of the structure reaches 15°, the contour after deformation is in good agreement with the deformation target, and the error at the tip is within 2 mm. The structure driving scheme and optimization method are thus verified to be feasible.

Key words: variable camber trailing edge, eccentric beam, morphing control point, particle swarm optimization, optimal analysis

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