NDLI: Optimisation of temporal averaging processes in PIV

Content Provider	Springer Nature Link
Author	Samarage, Chaminda R. Carberry, Josie Hourigan, Kerry Fouras, Andreas
Copyright Year	2011
Abstract	A hybrid of correlation and vector averaging is introduced to capitalise on the advantages of each process. An extensive series of Monte Carlo simulations have been conducted to investigate hybrid averaging and evaluate it against both vector and correlation averaging. The simulations show that hybrid averaging improves the measurement accuracy over both correlation and vector averaging over a wide range of imaging conditions. The simulations are validated by applying hybrid averaging to experimental micro- and macro-flows. In pulsatile conditions, correlation averaging yields an averaged correlation function that is multi-modal, which can result in unpredictable measurements. A Monte Carlo simulation shows the benefits of hybrid averaging over correlation averaging in such conditions. This has been experimentally validated on the unsteady wake behind a shedding circular cylinder at Re = 98.
Starting Page	617
Ending Page	631
Page Count	15
File Format	PDF
ISSN	07234864
Journal	Experiments in Fluids
Volume Number	52
Issue Number	3
e-ISSN	14321114
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-04-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Engineering Thermodynamics, Heat and Mass Transfer Fluid- and Aerodynamics Engineering Fluid Dynamics
Content Type	Text
Resource Type	Article
Subject	Fluid Flow and Transfer Processes Physics and Astronomy Mechanics of Materials Computational Mechanics

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