2005
DOI: 10.1242/jeb.01852
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A computational study of the aerodynamics and forewing-hindwing interaction of a model dragonfly in forward flight

Abstract: SUMMARY The aerodynamics and forewing-hindwing interaction of a model dragonfly in forward flight are studied, using the method of numerically solving the Navier-Stokes equations. Available morphological and stroke-kinematic parameters of dragonfly (Aeshna juncea) are used for the model dragonfly. Six advance ratios (J; ranging from 0 to 0.75) and, at each J, four forewing-hindwing phase angle differences(γd; 180°, 90°, 60° and 0°) are considered. The mean vertical force and thrust are made to b… Show more

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Cited by 127 publications
(107 citation statements)
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“…In fast forward flight, the structure of the LEV system could also be changed: the flows would become more attached to the wing as the increase of the flight speed (or advanced ratio) (Sun and Wu, 2003;Wang and Sun, 2005).…”
Section: Discussion the Nature Of The Lev System On A Flapping Wingmentioning
confidence: 99%
“…In fast forward flight, the structure of the LEV system could also be changed: the flows would become more attached to the wing as the increase of the flight speed (or advanced ratio) (Sun and Wu, 2003;Wang and Sun, 2005).…”
Section: Discussion the Nature Of The Lev System On A Flapping Wingmentioning
confidence: 99%
“…12(b), are set up the same as the forward flight case (advance ratio J=0. 3) presented in Wang and Sun [37] with the hind-wing leading the forewing in a phase of 180 o . Two kinematics of the motion were simulated: one is for rigid wings; the other is for flexible wings with camber deformation according to the data measured by Wang and Zeng [38].…”
Section: B Application To 3d Dragonfly Model In Forward Flight Withmentioning
confidence: 99%
“…15(b). The vertical forces computed by Wang and Sun [37] for rigid wings are also presented for comparison.…”
Section: B Application To 3d Dragonfly Model In Forward Flight Withmentioning
confidence: 99%
“…In this branch of numerical methods, the grid system should be re-meshed at each time step and thus large CPU time is generally needed [1]. To improve the computational efficiency, the method of moving overset grids [2][3][4] generates a local non-inertial boundary-fitted grid system for each moving object that is allowed to move on the fixed global Cartesian grid system. However, the solution interpolation and data transfer among the grid systems are very complex and time consuming.…”
Section: Introductionmentioning
confidence: 99%