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ZENODO
Dataset . 2017
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
License: CC BY
Data sources: ZENODO
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Part-1: Dataset For Journal: "On The Fluid-Structure Interaction Of Flexible Membrane Wings For Mavs In And Out Of Ground-Effect"

Authors: Bleischwitz, Robert; de Kat, Roeland; Ganapathisubramani, Bharathram;

Part-1: Dataset For Journal: "On The Fluid-Structure Interaction Of Flexible Membrane Wings For Mavs In And Out Of Ground-Effect"

Abstract

Complementary file for the attached files Written 24-04-2017 by Robert Bleischwitz (modellwerft@freenet.de) General Comments 0.) This specific upload contains PART-1 of the full dataset 1.) The attached data relates to experimental windtunnel measurements on passive membrane wings for MAVs. The data was aquired between 2012-2016 at the University of Southampton, involving Robert Bleischwitz as PhD student, who was supervised by Roeland de Kat and Bharathram Ganapathisubramani. 2.) The attached data is given time-resolved and time-synchronised at 800Hz over a imaging-period of 5000 images, involving load measurements via a 6-axis load-cell ATI Nano17 /25N, deformation measurements via Digitial Image Processing (DIC) and planar flow measurements via two side-by-side cameras. 3.) More setup and processing details can be found in the paper "On the fluid-structure interaction of flexible membrane wings for MAVs in and out of ground-effect" (2017) by the authors R. Bleischwitz, R. de Kat, B. Ganapathisubramani Published in the Journal of Fluids and Structures (http://www.sciencedirect.com/science/article/pii/S088997461630370X) 4.) All load/deformation/flow folders contain a README.txt(Use 1st) and Instructions.m (Use 2nd) file, which give further supporting details how to illustrate the data 5.) This specific upload contains PART-1 of the full dataset, including introduction file + rigid flat-plate case (Load+PIV measurements) as reference to membrane wing case (PART-2)

Abstract to publication: Wind tunnel experiments are conducted at a Reynolds number of Re=56,000, measuring rigid flat-plates and flexible membrane wings from free-flight into ground-effect conditions. Load cell measurements, digital image correlation and particle image velocimetry are applied in high-speed to resolve time-synchronised lift, drag and pitch oscillations simultaneously with membrane and flow dynamics. Proper orthogonal decomposition is applied on flow oscillations to determine their spatiotemporal evolution. Loads, membrane motions and flow dynamics are correlated to each other to investigate their underlying coupling physics. A membrane wing's ability of static cambering and dynamic membrane oscillations are found to be beneficial when the wing is in ground-effect, where the descent in height forces premature leading-edge vortex-shedding and drag increase. The dynamic motions of membrane wings help to exploit vortex-shedding dynamics from the leading-edge that ensures time-averaged reattached flow over the wing upper surface, resulting in further lift enhancement. Membrane wings show lag-free fluid-membrane coupling at peak-lift conditions. In post-stall conditions, the membrane is found to lag the flow dynamics, signalling the end of direct fluid-structure coupling.

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Keywords

Membrane wings, flexible wings, wind tunnel experiments, fluid structure interaction, digital image correlation, particle image velocimetry, Micro Air Vehicle, drone

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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