2019
DOI: 10.1088/1757-899x/610/1/012098
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Modeling and prediction of aerodynamic characteristics of free fall rotating wing based on experiments

Abstract: The unsteady vortex lattice method (UVLM) is used to model the aerodynamic loading on different Samara leaves (Maple seed) during their steady state flight. Experiments is performed to verify the analytical results. Parameters including the drop speed, angular velocity and coning angle for different sets of Maple Samaras were determined from experiments. The aerodynamic loads were calculated using UVLM against the forces required for maintaining a steady state flight as obtained from the experiment. Consequent… Show more

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Cited by 8 publications
(7 citation statements)
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“…Zakaria et al [7] used UVLM to model the aerodynamic loading on different Samara leaves (Maple seeds) during their steady state flight. The results were verified with experiments.…”
Section: Unsteady Vortex Lattice Methods (Uvlm)mentioning
confidence: 99%
See 3 more Smart Citations
“…Zakaria et al [7] used UVLM to model the aerodynamic loading on different Samara leaves (Maple seeds) during their steady state flight. The results were verified with experiments.…”
Section: Unsteady Vortex Lattice Methods (Uvlm)mentioning
confidence: 99%
“…On the other hand, fluid structure interaction modeling became essential for solving flow around vibrating and rotating structure [7,[20][21][22]. Modeling such moving bodies requires aerodynamic unsteady nonlinear models to assure accuracy in modeling results rather than using quazi-steady models.…”
Section: Figurementioning
confidence: 99%
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“…The monocopter is thus equipped with a natural fail-safe, thanks to this ability to descend gracefully in autorotation in the event of a power failure. Autorotation of single-winged seeds is relatively well studied, both in its natural form [5][6][7], or their mechanical counterparts [8,9]. Attempts have been made to use samara-inspired flight for payload delivery in the past [10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%