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dc.contributorFaculty of Engineeringen_US
dc.creatorZhang, Hao-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/7443-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleOptimization of aerodynamic performance for a hovering model flapping wing using CFDen_US
dcterms.abstractTo investigate appropriate optimization approach for the design of Micro Air Vehicles (MAVs), numerical methods is utilized as an optimization tool by means of three-dimensional time-dependent Navier-Stokes simulation. The commercial CFD code ANSYS/FLUENT is used to simulated the robotic fly wing model in hovering flight at Re=126. The result is compared with the relevant experimental data. In addition, the numerical method is combined with the Taguchi nonlinear optimization method for the purpose to explore an optimization method for the MAVs design. The mean lift is the optimization objectives while the mean drag is treated as optimization constrain. Wing trajectories are chosen as the optimization targets, which are easily operated and processed in the MAVs design. Five typical parameters (flapping frequency, AoA at the midstroke of both upstroke and downstroke, stroke amplitude and rotation types) of trajectories are selected as optimization input factors with four levels of each. Utilizing the orthogonal array, specific CFD cases are arranged and performed. Refer to analysis of range and ANOVA, the most significant influenced parameters, the relative optimal combination and the effect variation trends for each parameters are defined.en_US
dcterms.extentxi, 82 leaves : ill. (some col.) ; 30 cm.en_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2014en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHMicro air vehicles -- Mathematical models.en_US
dcterms.LCSHAerodynamics.en_US
dcterms.LCSHAirplanes -- Wings.en_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/7443