PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB
University of Groningen · Hochschule Bremen
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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.
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2,389
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- FWCI
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Authors
2Topics & keywords
Topics
Keywords
- Particle image velocimetry
- Smoothing
- Computer science
- Interpolation (computer graphics)
- User Friendly
- MATLAB
- Velocimetry
- Estimator
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