OpenPIV-MATLAB — An open-source software for particle image velocimetry; test case: Birds’ aerodynamics

We present an open-source MATLAB package, entitled OpenPIV-MATLAB, for analyzing particle image velocimetry (PIV) data. We extend the PIV analysis with additional tools for post-processing the PIV results including the estimation of aero/hydrodynamic forces from the PIV data of a wake behind an imme...

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Main Authors: Hadar Ben-Gida, Roi Gurka, Alex Liberzon
Format: Article
Language:English
Published: Elsevier 2020-07-01
Series:SoftwareX
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352711020302983
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spelling doaj-ee4acb06f34f4604914bee504f9382e72020-12-19T05:08:30ZengElsevierSoftwareX2352-71102020-07-0112100585OpenPIV-MATLAB — An open-source software for particle image velocimetry; test case: Birds’ aerodynamicsHadar Ben-Gida0Roi Gurka1Alex Liberzon2Aeronautical Engineering Branch, Israeli Air Force, 6473428 Tel-Aviv, Israel; Corresponding author.Department of Physics and Engineering Science, Coastal Carolina University, Conway, SC 29528, USASchool of Mechanical Engineering, Tel-Aviv University, Tel-Aviv, 6997801, IsraelWe present an open-source MATLAB package, entitled OpenPIV-MATLAB, for analyzing particle image velocimetry (PIV) data. We extend the PIV analysis with additional tools for post-processing the PIV results including the estimation of aero/hydrodynamic forces from the PIV data of a wake behind an immersed (bluff or streamlined) body. The paper presents a detailed description of the packages, covering the three main parts: generating two-dimensional two component velocity fields from pairs of images (OpenPIV-MATLAB), spatial and temporal flow analysis based on the velocity fields (Spatial and Temporal Analysis Toolbox), and wake flow analysis along with the force estimates (getWAKE Toolbox). A complete analysis with a variety of post-processing capabilities is demonstrated using time-resolved PIV wake data of a freely flying European starling (Sturnus vulgaris) in a wind tunnel.http://www.sciencedirect.com/science/article/pii/S2352711020302983Particle Image VelocimetryMATLABFluid mechanicsWake analysis
collection DOAJ
language English
format Article
sources DOAJ
author Hadar Ben-Gida
Roi Gurka
Alex Liberzon
spellingShingle Hadar Ben-Gida
Roi Gurka
Alex Liberzon
OpenPIV-MATLAB — An open-source software for particle image velocimetry; test case: Birds’ aerodynamics
SoftwareX
Particle Image Velocimetry
MATLAB
Fluid mechanics
Wake analysis
author_facet Hadar Ben-Gida
Roi Gurka
Alex Liberzon
author_sort Hadar Ben-Gida
title OpenPIV-MATLAB — An open-source software for particle image velocimetry; test case: Birds’ aerodynamics
title_short OpenPIV-MATLAB — An open-source software for particle image velocimetry; test case: Birds’ aerodynamics
title_full OpenPIV-MATLAB — An open-source software for particle image velocimetry; test case: Birds’ aerodynamics
title_fullStr OpenPIV-MATLAB — An open-source software for particle image velocimetry; test case: Birds’ aerodynamics
title_full_unstemmed OpenPIV-MATLAB — An open-source software for particle image velocimetry; test case: Birds’ aerodynamics
title_sort openpiv-matlab — an open-source software for particle image velocimetry; test case: birds’ aerodynamics
publisher Elsevier
series SoftwareX
issn 2352-7110
publishDate 2020-07-01
description We present an open-source MATLAB package, entitled OpenPIV-MATLAB, for analyzing particle image velocimetry (PIV) data. We extend the PIV analysis with additional tools for post-processing the PIV results including the estimation of aero/hydrodynamic forces from the PIV data of a wake behind an immersed (bluff or streamlined) body. The paper presents a detailed description of the packages, covering the three main parts: generating two-dimensional two component velocity fields from pairs of images (OpenPIV-MATLAB), spatial and temporal flow analysis based on the velocity fields (Spatial and Temporal Analysis Toolbox), and wake flow analysis along with the force estimates (getWAKE Toolbox). A complete analysis with a variety of post-processing capabilities is demonstrated using time-resolved PIV wake data of a freely flying European starling (Sturnus vulgaris) in a wind tunnel.
topic Particle Image Velocimetry
MATLAB
Fluid mechanics
Wake analysis
url http://www.sciencedirect.com/science/article/pii/S2352711020302983
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AT roigurka openpivmatlabanopensourcesoftwareforparticleimagevelocimetrytestcasebirdsaerodynamics
AT alexliberzon openpivmatlabanopensourcesoftwareforparticleimagevelocimetrytestcasebirdsaerodynamics
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