Literature DB >> 15579564

The fluid dynamics of flight control by kinematic phase lag variation between two robotic insect wings.

Will J Maybury1, Fritz-Olaf Lehmann.   

Abstract

Insects flying with two pairs of wings must contend with the forewing wake passing over the beating hindwing. Some four-winged insects, such as dragonflies, move each wing independently and therefore may alter the relative timing between the fore- and hindwing stroke cycles. The significance of modifying the phase relationship between fore- and hindwing stroke kinematics on total lift production is difficult to assess in the flying animal because the effect of wing-wake interference critically depends on the complex wake pattern produced by the two beating wings. Here we investigate the effect of changing the fore- and hindwing stroke-phase relationship during hovering flight conditions on the aerodynamic performance of each flapping wing by using a dynamically scaled electromechanical insect model. By varying the relative phase difference between fore- and hindwing stroke cycles we found that the performance of the forewing remains approximately constant, while hindwing lift production may vary by a factor of two. Hindwing lift modulation appears to be due to two different fluid dynamic phenomenons: leading edge vortex destruction and changes in strength and orientation of the local flow vector. Unexpectedly, the hindwing regains aerodynamic performance near to that of the wing free from forewing wake interference, when the motion of the hindwing leads the forewing by around a quarter of the stroke cycle. This kinematic relationship between hind- and forewing closely matches the phase-shift commonly used by locusts and some dragonflies in climbing and forward flight. The experiments support previous assumptions that active neuromuscular control of fore- and hindwing stroke phase might enable dragonflies and other functionally four-winged insects to manipulate ipsilateral flight force production without further changes in wing beat kinematics.

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Year:  2004        PMID: 15579564     DOI: 10.1242/jeb.01319

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  8 in total

1.  Flying with eight wings: inter-sex differences in wingbeat kinematics and aerodynamics during the copulatory flight of damselflies (Ischnura elegans).

Authors:  Hilla Davidovich; Gal Ribak
Journal:  Naturwissenschaften       Date:  2016-07-12

Review 2.  Aerodynamics, sensing and control of insect-scale flapping-wing flight.

Authors:  Wei Shyy; Chang-Kwon Kang; Pakpong Chirarattananon; Sridhar Ravi; Hao Liu
Journal:  Proc Math Phys Eng Sci       Date:  2016-02       Impact factor: 2.704

Review 3.  Dynamic experimental rigs for investigation of insect wing aerodynamics.

Authors:  Paul Broadley; Mostafa R A Nabawy; Mark K Quinn; William J Crowther
Journal:  J R Soc Interface       Date:  2022-06-01       Impact factor: 4.293

4.  Aerodynamic Performance of a Dragonfly-Inspired Tandem Wing System for a Biomimetic Micro Air Vehicle.

Authors:  Erfan Salami; Elham Montazer; Thomas A Ward; Nik Nazri Nik Ghazali; Irfan Anjum Badruddin
Journal:  Front Bioeng Biotechnol       Date:  2022-05-18

5.  Wing-kinematics measurement and flight modelling of the bamboo weevil C. buqueti.

Authors:  Xin Li; Ce Guo
Journal:  IET Nanobiotechnol       Date:  2020-02       Impact factor: 1.847

6.  Phasing of dragonfly wings can improve aerodynamic efficiency by removing swirl.

Authors:  James R Usherwood; Fritz-Olaf Lehmann
Journal:  J R Soc Interface       Date:  2008-11-06       Impact factor: 4.118

Review 7.  Wing Design in Flies: Properties and Aerodynamic Function.

Authors:  Swathi Krishna; Moonsung Cho; Henja-Niniane Wehmann; Thomas Engels; Fritz-Olaf Lehmann
Journal:  Insects       Date:  2020-07-23       Impact factor: 2.769

Review 8.  Flight of the dragonflies and damselflies.

Authors:  Richard J Bomphrey; Toshiyuki Nakata; Per Henningsson; Huai-Ti Lin
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-09-26       Impact factor: 6.237

  8 in total

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