| Autor: |
William Thielicke, Eize J. Stamhuis |
| Jazyk: |
angličtina |
| Rok vydání: |
2014 |
| Předmět: |
|
| Zdroj: |
Journal of Open Research Software, Vol 2, Iss 1, Pp e30-e30 (2014) |
| Druh dokumentu: |
article |
| ISSN: |
2049-9647 |
| DOI: |
10.5334/jors.bl |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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