Data from: Leading-edge vortices over swept-back wings with varying sweep geometries ...
Micro air vehicles are used in a myriad of applications, such as transportation and surveying. Their performance can be improved through study of wing designs and lift generation techniques including leading-edge vortices (LEVs). Observation of natural fliers, e.g., birds and bats, has shown that LE...
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ftdatacite:10.5061/dryad.b7g95d2 2024-02-04T09:56:12+01:00 Data from: Leading-edge vortices over swept-back wings with varying sweep geometries ... Lambert, William B. Stanek, Mathew J. Gurka, Roi Hackett, Erin E. 2019 https://dx.doi.org/10.5061/dryad.b7g95d2 https://datadryad.org/stash/dataset/doi:10.5061/dryad.b7g95d2 en eng Dryad https://dx.doi.org/10.1098/rsos.190514 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 delta wing swept-back wings particle image velocimetry leading-edge vortex Swift Dataset dataset 2019 ftdatacite https://doi.org/10.5061/dryad.b7g95d210.1098/rsos.190514 2024-01-05T01:14:15Z Micro air vehicles are used in a myriad of applications, such as transportation and surveying. Their performance can be improved through study of wing designs and lift generation techniques including leading-edge vortices (LEVs). Observation of natural fliers, e.g., birds and bats, has shown that LEVs are a major contributor to lift during flapping flight, and the common swift (Apus apus) has been observed to generate LEVs during gliding flight. We hypothesize that non-linear swept-back wings generate a vortex in the leading-edge region, which can augment the lift in a similar manner to linear swept-back wings (i.e., delta wing) during gliding flight. Particle image velocimetry experiments were performed in a water flume to compare flow over two wing geometries: one with a non-linear sweep (swift-like wing) and one with a linear sweep (delta wing). Experiments were performed at three spanwise planes and three angles of attack at a chord-based Reynolds number of 26,000. Streamlines, vorticity, swirling ... : Experimental DataPIV velocity measurements in .vec and .mat formats - see readme.m inside the zip file.OpenScience_Data.zip ... Dataset Apus apus DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
delta wing swept-back wings particle image velocimetry leading-edge vortex Swift |
spellingShingle |
delta wing swept-back wings particle image velocimetry leading-edge vortex Swift Lambert, William B. Stanek, Mathew J. Gurka, Roi Hackett, Erin E. Data from: Leading-edge vortices over swept-back wings with varying sweep geometries ... |
topic_facet |
delta wing swept-back wings particle image velocimetry leading-edge vortex Swift |
description |
Micro air vehicles are used in a myriad of applications, such as transportation and surveying. Their performance can be improved through study of wing designs and lift generation techniques including leading-edge vortices (LEVs). Observation of natural fliers, e.g., birds and bats, has shown that LEVs are a major contributor to lift during flapping flight, and the common swift (Apus apus) has been observed to generate LEVs during gliding flight. We hypothesize that non-linear swept-back wings generate a vortex in the leading-edge region, which can augment the lift in a similar manner to linear swept-back wings (i.e., delta wing) during gliding flight. Particle image velocimetry experiments were performed in a water flume to compare flow over two wing geometries: one with a non-linear sweep (swift-like wing) and one with a linear sweep (delta wing). Experiments were performed at three spanwise planes and three angles of attack at a chord-based Reynolds number of 26,000. Streamlines, vorticity, swirling ... : Experimental DataPIV velocity measurements in .vec and .mat formats - see readme.m inside the zip file.OpenScience_Data.zip ... |
format |
Dataset |
author |
Lambert, William B. Stanek, Mathew J. Gurka, Roi Hackett, Erin E. |
author_facet |
Lambert, William B. Stanek, Mathew J. Gurka, Roi Hackett, Erin E. |
author_sort |
Lambert, William B. |
title |
Data from: Leading-edge vortices over swept-back wings with varying sweep geometries ... |
title_short |
Data from: Leading-edge vortices over swept-back wings with varying sweep geometries ... |
title_full |
Data from: Leading-edge vortices over swept-back wings with varying sweep geometries ... |
title_fullStr |
Data from: Leading-edge vortices over swept-back wings with varying sweep geometries ... |
title_full_unstemmed |
Data from: Leading-edge vortices over swept-back wings with varying sweep geometries ... |
title_sort |
data from: leading-edge vortices over swept-back wings with varying sweep geometries ... |
publisher |
Dryad |
publishDate |
2019 |
url |
https://dx.doi.org/10.5061/dryad.b7g95d2 https://datadryad.org/stash/dataset/doi:10.5061/dryad.b7g95d2 |
genre |
Apus apus |
genre_facet |
Apus apus |
op_relation |
https://dx.doi.org/10.1098/rsos.190514 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.b7g95d210.1098/rsos.190514 |
_version_ |
1789960765361356800 |