Document Type
Article
Publication Date
7-1-2020
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 (Sturnus vulgaris) in a wind tunnel.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Hadar Ben-Gida, Roi Gurka, Alex Liberzon, OpenPIV-MATLAB — An open-source software for particle image velocimetry; test case: Birds’ aerodynamics, SoftwareX, Volume 12, 2020, 100585, https://doi.org/10.1016/j.softx.2020.100585. Available at: https://digitalcommons.coastal.edu/physics-engineering/
Comments
Elsevier originally published this article.