首页> 外文期刊>AIAA Journal >Optimization of a Morphing Wing Based on Coupled Aerodynamic and Structural Constraints
【24h】

Optimization of a Morphing Wing Based on Coupled Aerodynamic and Structural Constraints

机译:基于空气动力学和结构约束的变形翼优化

获取原文
获取原文并翻译 | 示例
           

摘要

This paper presents the work done in designing a morphing wing concept for a small experimental unmanned aerial vehicle to improve the vehicle's performance over its intended speed range. The wing is designed with a multidisciplinary design optimization tool, in which an aerodynamic shape optimization code coupled with a structural morphing model is used to obtain a set of optimal wing shapes for minimum drag at different flight speeds. The optimization procedure is described as well as the structural model. The aerodynamic shape optimization code, that uses a viscous two-dimensional panel method formulation coupled with a nonlinear lifting-line algorithm and a sequential quadratic programming optimization algorithm, is suitable for preliminary wing design optimization tasks. The morphing concept, based on changes in wing-planform shape and wing-section shape achieved by extending spars and telescopic ribs, is explained in detail. Comparisons between optimized fixed wing performance, optimal morphing wing performance, and the performance of the wing obtained from the coupled aerodynamic-structural solution are presented. Estimates for the performance enhancements achieved by the unmanned aerial vehicles when fitted with this new morphing wing are also presented. Some conclusions on this concept are addressed with comments on the benefits and drawbacks of the morphing mechanism design.
机译:本文介绍了为小型实验性无人机设计变形机翼概念时所做的工作,以提高其在预期速度范围内的性能。机翼采用多学科设计优化工具进行设计,其中使用空气动力学形状优化代码并结合结构变形模型来获得一组最佳机翼形状,以在不同的飞行速度下实现最小阻力。描述了优化过程以及结构模型。空气动力学形状优化代码采用粘性二维面板方法公式,结合非线性升力线算法和顺序二次规划优化算法,适用于初步机翼设计优化任务。详细说明了变形概念,该概念基于通过延伸翼梁和伸缩肋而实现的机翼平面形状和机翼截面形状的变化来进行。进行了优化的固定翼性能,最佳变形翼性能和从耦合空气动力结构解决方案获得的机翼性能之间的比较。还介绍了安装这种新型变形机翼时无人机所实现的性能提升估计。关于此概念的一些结论通过对变形机制设计的优缺点进行了评论。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号