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http://dx.doi.org/10.3795/KSME-B.2011.35.6.603

Hybrid Particle Image Velocimetry Based on Affine Transformation  

Doh, Deog-Hee (Division of Mechanical and Information Engineering, Korea Maritime Univ.)
Cho, Gyong-Rae (Research Institute of Marine Science and Tech., Korea Maritime Univ.)
Lee, Jae-Min (Dept. of Mechanical Engineering, Korea Maritime Univ.)
Publication Information
Transactions of the Korean Society of Mechanical Engineers B / v.35, no.6, 2011 , pp. 603-608 More about this Journal
Abstract
Since PTV (particle tracking velocimetry) provides velocity vectors by tracking each particle in a fluid flow, it has significant benefits when used for nano- and bio-fluid flows. However, PTV has only been used for limited flow fields because interpolation data loss is inevitable in PTV in principle. In this paper, a hybrid particle image velocimetry (PIV) algorithm that eliminates interpolation data loss was constructed by using an affine transformation. For the evaluation of the performance of the constructed hybrid PIV algorithm, an artificial image test was performed using Green-Taylor vortex data. The constructed algorithm was tested on experimental images of the wake flow (Re = 5,300) of a rectangular body ($6cm\;{\times}3cm$), and was demonstrated to provide excellent results.
Keywords
PIV; PTV; Virtual Image; Cross-Correlation PIV; 2F-Match Probability Method; Affine Transformation;
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Times Cited By KSCI : 1  (Citation Analysis)
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