pivlab – towards user-friendly, affordable and accurate digital particle image velocimetry in matlab
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2014
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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.
| Reference Key |
thielicke2014journalpivlab
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| Authors | ;William Thielicke;Eize J. Stamhuis |
| Journal | society of petroleum engineers - spe international heavy oil conference and exhibition 2018, hoce 2018 |
| Year | 2014 |
| DOI |
10.5334/jors.bl
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