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Optimal Stiffness Design of a Twistable Flapping Rotary Wing in Hovering Flight

  • Luyao Wang
  • , Long Chen*
  • , Yanqing Wang
  • *Corresponding author for this work
  • Northeastern University China

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The flapping rotary wing (FRW) is a novel bio-inspired layout for micro air vehicles, which combines the features of insect-like flapping wings and conventional rotary wings. To date, the impact of wing deformation on the performance of FRW is still underexplored since a numerical solution requires considerable computational resources. Using a reduced-order fluid-structure interaction (FSI) model for hovering FRW and the genetic algorithm, an optimization for the wing-root stiffness (k1) and elastic modulus (E) of twistable FRWs are conducted within flapping frequency (f) = 10–25 Hz and amplitude (θm) = 10°–20°. The optimal k1 and E values to achieve the lift maximum and efficiency maximum at each combination of f and θm are summarized, together with the corresponding passive pitching motion and spanwise twisting. These findings can guide the wing design of hovering FRWs when spanwise twisting dominates the wing deformation.

Original languageEnglish
Title of host publicationProceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022
EditorsWenxing Fu, Mancang Gu, Yifeng Niu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages358-367
Number of pages10
ISBN (Print)9789819904785
DOIs
StatePublished - 2023
Externally publishedYes
EventInternational Conference on Autonomous Unmanned Systems, ICAUS 2022 - Xi'an, China
Duration: 23 Sep 2022 → 25 Sep 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume1010 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Autonomous Unmanned Systems, ICAUS 2022
Country/TerritoryChina
CityXi'an
Period23/09/22 → 25/09/22

Keywords

  • Flapping rotary wing
  • Fluid-structure interaction
  • Genetic algorithm
  • Micro air vehicle
  • Stiffness design

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