High-performance holographic technologies for fluid-dynamics experiments.
Modern technologies offer new opportunities for experimentalists in a variety of research areas of fluid dynamics. Improvements are now possible in the state-of-the-art in precision, dynamic range, reproducibility, motion-control accuracy, data-acquisition rate and information capacity. These improvements are required for understanding complex turbulent flows under realistic conditions, and for allowing unambiguous comparisons to be made with new theoretical approaches and large-scale numerical simulations. One of the new technologies is high-performance digital holography. State-of-the-art motion control, electronics and optical imaging allow for the realization of turbulent flows with very high Reynolds number (more than 10(7)) on a relatively small laboratory scale, and quantification of their properties with high space-time resolutions and bandwidth. In-line digital holographic technology can provide complete three-dimensional mapping of the flow velocity and density fields at high data rates (over 1000 frames per second) over a relatively large spatial area with high spatial (1-10 microm) and temporal (better than a few nanoseconds) resolution, and can give accurate quantitative description of the fluid flows, including those of multi-phase and unsteady conditions. This technology can be applied in a variety of problems to study fundamental properties of flow-particle interactions, rotating flows, non-canonical boundary layers and Rayleigh-Taylor mixing. Some of these examples are discussed briefly.
Orlov
Sergei S
SS
Department of Electric Engineering, Stanford University, Stanford, CA, USA. orlov@stanford.edu
Abarzhi
Snezhana I
SI
Oh
Se Baek
SB
Barbastathis
George
G
Sreenivasan
Katepalli R
KR
D000465:Algorithms; D004867:Equipment Design; D005583:Fourier Analysis; D006696:Holography / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D015233:Models, Statistical; D009584:Nitrogen / Q000737:chemistry; D055095:Optics and Photonics; D010100:Oxygen / Q000737:chemistry; D010363:Pattern Recognition, Automated / Q000379:methods; D012212:Rheology / Q000295:instrumentation*; D012815:Signal Processing, Computer-Assisted; D014978:Xenon
D014978:Xenon; D009584:Nitrogen; D010100:Oxygen