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    Parameter Optimization of Foldable Flapping-Wing Mechanism for Maximum Lift

    Source: Journal of Mechanisms and Robotics:;2023:;volume( 016 ):;issue: 003::page 31002-1
    Author:
    Yang, Hyeon-Ho
    ,
    Lee, Sang-Gil
    ,
    Addo-Akoto, Reynolds
    ,
    Han, Jae-Hung
    DOI: 10.1115/1.4056869
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A lot of flapping-wing mechanisms have been proposed to mimic the flight characteristics of biological flyers. However, it is difficult to find studies that consider the unsteady aerodynamics in the design of the flapping-wing mechanisms. This paper presents a systematic approach to optimize the design parameters of a foldable flapping-wing mechanism (FFWM) with a proper aerodynamics model. For the kinematic model, the eight design parameters are defined to determine the reference configuration of the FFWM. The geometrical constraints of each design parameter are derived, and the kinematic analysis is conducted using the plane vector analysis method. The aerodynamic simulation using an unsteady vortex lattice method is performed to compute the aerodynamic loads induced by the flapping motion. An optimization problem is formulated to search for the optimal design parameters that maximize the average lift force considering the required power corresponding to the aerodynamic torques. The parameter optimization problem is solved for three different length ratios of the outer wing to the inner wing using a genetic algorithm. The optimization results show that increasing the outer wing length can cause a significant loss in the required power. The optimal design parameters found by the proposed approach allow the FFWM to generate maximum lift force with appropriate consideration of the required power.
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      Parameter Optimization of Foldable Flapping-Wing Mechanism for Maximum Lift

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4292224
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    • Journal of Mechanisms and Robotics

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    contributor authorYang, Hyeon-Ho
    contributor authorLee, Sang-Gil
    contributor authorAddo-Akoto, Reynolds
    contributor authorHan, Jae-Hung
    date accessioned2023-08-16T18:37:16Z
    date available2023-08-16T18:37:16Z
    date copyright3/8/2023 12:00:00 AM
    date issued2023
    identifier issn1942-4302
    identifier otherjmr_16_3_031002.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4292224
    description abstractA lot of flapping-wing mechanisms have been proposed to mimic the flight characteristics of biological flyers. However, it is difficult to find studies that consider the unsteady aerodynamics in the design of the flapping-wing mechanisms. This paper presents a systematic approach to optimize the design parameters of a foldable flapping-wing mechanism (FFWM) with a proper aerodynamics model. For the kinematic model, the eight design parameters are defined to determine the reference configuration of the FFWM. The geometrical constraints of each design parameter are derived, and the kinematic analysis is conducted using the plane vector analysis method. The aerodynamic simulation using an unsteady vortex lattice method is performed to compute the aerodynamic loads induced by the flapping motion. An optimization problem is formulated to search for the optimal design parameters that maximize the average lift force considering the required power corresponding to the aerodynamic torques. The parameter optimization problem is solved for three different length ratios of the outer wing to the inner wing using a genetic algorithm. The optimization results show that increasing the outer wing length can cause a significant loss in the required power. The optimal design parameters found by the proposed approach allow the FFWM to generate maximum lift force with appropriate consideration of the required power.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleParameter Optimization of Foldable Flapping-Wing Mechanism for Maximum Lift
    typeJournal Paper
    journal volume16
    journal issue3
    journal titleJournal of Mechanisms and Robotics
    identifier doi10.1115/1.4056869
    journal fristpage31002-1
    journal lastpage31002-12
    page12
    treeJournal of Mechanisms and Robotics:;2023:;volume( 016 ):;issue: 003
    contenttypeFulltext
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