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.
| Original language | English |
|---|---|
| Article number | 30 |
| Number of pages | 19 |
| Journal | Journal of Open Research Software |
| Volume | 2 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 16-Oct-2014 |
Keywords
- MATLAB
- PIVlab
- Particle Image Velocimetry
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