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Multi-Cross-Correlation Method in Particle Image Velocimetry

Published online by Cambridge University Press:  31 August 2011

T.-W. Hsu ,
C.-Y. Shin ,
S.-H. Ou  and
Y.-T. Li
T.-W. Hsu*
Affiliation:
Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan, Taiwan 70101, R.O.C.
C.-Y. Shin
Affiliation:
Institute of Ocean Technology and Marine Affairs, National Cheng Kung University, Tainan, Taiwan 70101, R.O.C.
S.-H. Ou
Affiliation:
Department of Environmental Resources Management, Tajen University, Pingtung, Taiwan 90741, R.O.C.
Y.-T. Li
Affiliation:
Institute of Ocean Technology and Marine Affairs, National Cheng Kung University, Tainan, Taiwan 70101, R.O.C.
*
*Professor, corresponding author
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Abstract

A multi-cross-correlation method (MCCM) was developed in a particle image velocimetry (PIV) auto-processing system to reduce spurious vectors and improve accuracy of measurements. This technique is an improvement based on conventional cross-correlation method (CCM). Four typical neighboring interrogation windows were specified to be overlapped and calculated by MCCM. A high cross-correlation value is obtained in which many particle images match up with their corresponding spatially shifted partners, and small cross-correlation peaks due to interference of noises during experiments are reduced. Several parameters such as out-of-plane motions, particle size, and seeding density are considered for checking both MCCM and conventional PIV algorithms. The examination gives authenticity to the merits of MCCM for avoiding particles loss or mistaken velocity vectors.

Keywords

MCCMPIVCross-correlation interrogation method
Type
Articles
Information
Journal of Mechanics , Volume 27 , Issue 3 , September 2011 , pp. 365 - 377
Copyright
Copyright © The Society of Theoretical and Applied Mechanics, R.O.C. 2011

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