OpenPIV-Matlab -- An open-source software for particle image velocimetry; test case: birds' aerodynamics
Abstract
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 (\emph{Sturnus vulgaris}) in a wind tunnel.
Keywords
Cite
@article{arxiv.2007.12967,
title = {OpenPIV-Matlab -- An open-source software for particle image velocimetry; test case: birds' aerodynamics},
author = {Hadar Ben Gida and Roi Gurka and Alex Liberzon},
journal= {arXiv preprint arXiv:2007.12967},
year = {2020}
}