Journal of Open Research Software· 2014Q3
PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB
- 2,420citations
- Q3SCImago
- 2014year
Short summary
A new open-source MATLAB tool, PIVlab, has been developed to address challenges in Digital Particle Image Velocimetry (DPIV) for accurate flow field mapping.
AI-generated from the title and abstract; the full text is not read.
Key points
- PIVlab is an open-source MATLAB tool for Digital Particle Image Velocimetry (DPIV).
- It addresses computational challenges affecting flow measurement accuracy.
- The tool implements best-performing algorithms for image pre-conditioning, peak estimation, data validation, interpolation, and smoothing.
- It aims to make accurate DPIV analysis more user-friendly and affordable.
AI-generated from the title and abstract; the full text is not read.
Abstract
Digital particle image velocimetry (DPIV) is a non-intrusive analysis technique that is very popular for mapping flows quantitatively. To get accurate results, in particular in complex flow fields, a number of challenges have to be faced and solved: The quality of the flow measurements is affected by computational details such as image pre-conditioning, sub-pixel peak estimators, data validation procedures, interpolation algorithms and smoothing methods. The accuracy of several algorithms was determined and the best performing methods were implemented in a user-friendly open-source tool for performing DPIV flow analysis in Matlab.
The authors' abstract, as published at the source. Journal of Open Research Software, 2014 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Computational Mechanics
Computational MechanicsEngineering