Particle Image Velocimetry The Revolution of...
Transcript of Particle Image Velocimetry The Revolution of...
Division of Engineering and Applied SciencesDivision of Engineering and Applied Sciences
California Institute of TechnologyCalifornia Institute of Technology
MoryMory GharibGharib
Particle Image VelocimetryThe Revolution of Quantitative Visualization
From Qualitative to Quantitative Flow Visualization
Dye Visualization
Digital Particle Image Velocimetry
Particle Tracing
Other Field Quantities,Multiple Quantity Diagnostics
DPITVSimultaneous Velocity and Temperature measurement
using Liquid Crystal Particles
Park & Gharib, 2001
Re=550
Ultrasound Speckle Velocimetry
Application of High framing rate (300fpm) to obtain the velocity field in an opaque elastic tube
Gharib, Hickerson, Lin (2002)
Biological ApplicationsInside The Embryonic Zebrafish Heart
Forouhar et al, Science 2004
Experimental Evaluation of Fluid-Dynamic Forcesfrom Velocity Field Data obtained with DPIV
• A cylinder performs a combined translation and in-line oscillation (peak Re = 100, oscillation frequency St = 0.164).
Sequence of velocity fields for one complete oscillation cycle
Dra
g co
effic
ient
Non-dimensional time Dotted line: DPIV (Noca et. al 1999)Solid line: Computations (Shiels 1998)
termsmotionbody ˆ +⋅+−= ∫∫SV
fluid dSndVadtdF Bρρ
• Stereo imaging / photogrammetry
• Holography
• Defocusing technique
• Time-resolved techniques (TR-PIV)
Striving to Higher Dimensions
Stereoscopic DPIV of Wing tip VortexPlanar, Three component
Wing Tip Vortex Zuhal&Gharib(2001)
HPIV
Three-dimensional velocity vector field obtained by a phase-conjugated holographic PIV technique (Barnhart 1994)
“Defocused” Particle Imaging 1990• triangle size is function of
Z-distance from lens• particles in focal plane turn
into single spots
25 mm C-mount lens with triple aperture
3-D Visualization of Vortex RingVideo originally shown at 1990 APS-DFD Meeting (Cornell)
close
far
DDPIV Today
Pereira and Gharib (2002)
DDPIV Camera for 3-D flow mapping of surface deformation measurement under impact loading
DDPIV Camera for Naval Applications
Unsteady flow field around flapping plate
Investigation of compliance and shape on vortex formation in flapping motion
Daegyoum Kim & M. Gharib, California Institute of Technology
Clapping motionConventional planar PIV
Clapping motionVolume-resolved velocity data
The capability of whole field measurement techniques such as (PIV) in providing velocity vector or scalar field information in a format compatible with CFD simulations offers many new avenues for interaction between these techniques.
A Straight Case of Validation: DNS v.s. DPIV
Gharib & Henderson (1994)
DPIV
DNS
Longo& Stern (Univ. of Iowa)
Comparative studies of RANS and PID
PIV inside a Transonic CompressorPeak efficiency, 87.5% channel height
CFD (TRACE)Experiment (PIV)
M. Voges, R. Schnell et al., ASME-GT 2008
HOLOGRAPHIC PIV (HPIV) HAS HELPED TO TEST SOME OF THE FUNDAMENTAL HYOPOTHESIS OF LES TECHNIQUE REGARDING ALIGNMENT of SGS STRESS TENSOR
- Observed alignment due to the resolved scale contribution
ijijijdij RC ++= Lτ
Leonard stress cross stress SGS Reynolds stress
(Leonard, 1974; Germano, 1986)
ijS~k
j
k
iij x
uxuL∂∂
∂∂Δ
=~~
12~
2
ijdij S~−τ
ijL versus
- Compute components from data, e.g:dijτ
jijiij uuuu ~~~~~~ −=L '''' ~~jijiij uuuu −=R , where iii uuu ~' −=
nlijτ~
- Residue stress versus : eddy-viscosity behavior ijS~ijdij
d L−=Ψ τ
)( ijijdijij LRC +−=τ
Bo Tao1, Joseph Katz2 and Charles Meneveau2
Purdue University & Johns Hopkins University,
Alignment between eigenvectors of and ijS~dijτ−
Bo Tao1, Joseph Katz2 and Charles Meneveau2
Purdue University & Johns Hopkins University,
contradicts eddy -viscosity models !
αβγ−βαγconfiguration
αβγ−αβγconfiguration
“Bi-modal Behavior”
In the new computational paradigm, simulation and experiment will become a symbiotic feedback system for diverse flow-based applications, e.g. controlled flow-structure interactions, smart combustion systems, active micro- fluidic networks, etc.
Schematics of the initial vortex pair and its interaction with the wall.
DPIV results
DNS simulation with Gaussian vorticitydistribution for the initial vortex
DNS with vorticitydistribution from DPIV for the initial vortex
A comparative study of DNS simulation based on initial conditions from a model or DPIV vorticitydistribution (Liepmann & Dommermuth 1991; Fabris et al. 1995)
The Advantage of Experimentally Initiated CFD
Proper Orthogonal Decomposition
… the small eddies are almost numberless, and large things are rotated only by large eddies and not by small ones, and small things are turned by both small eddies and large.- Leonardo The Deluge
This is a reality check on the real limitation of CFD!!
Where do we go from here in order to solve some of the main issues of today’s CFD?
PIV (2-D or 3-D) offers key assistants either as a problem solving tool or by helping
CFD to design affordable problem solving strategies
ExperimentExperiment--based versus DNSbased versus DNS--based POD modesbased POD modes
Conclusion
The rise of PIV as a method of choice in fluid research has offered a new paradigm in global quantitative flow visualization
PIV is bound to remain as an important tool for search and discovery as well as validation for the modern fluid mechanician