Stereoscopic particle image velocimetry

Arroyo, M. P.; Greated, Clive

doi:10.1088/0957-0233/2/12/012

Cited by 210 publications

(92 citation statements)

References 7 publications

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“…Other researchers have used off-axis imaging and dewarping algorithms in stereoscopic PIV (Arroyo & Greated 1991;Willert 1997) and in other applications (Kent & Eaton 1982). However, the present experiments differ from previous implementations of off-axis imaging.…”

Section: Measurement Of Spanwise Interfacial Perturbations and Image mentioning

confidence: 74%

Experimental characterization of initial conditions and spatio-temporal evolution of a small-Atwood-number Rayleigh–Taylor mixing layer

2006

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The initial multi-mode interfacial velocity and density perturbations present at the onset of a small-Atwood-number, incompressible, miscible Rayleigh–Taylor instability- driven mixing layer have been quantified using a combination of experimental techniques. The streamwise interfacial and spanwise interfacial perturbations were measured using high-resolution thermocouples and planar laser-induced fluorescence (PLIF), respectively. The initial multi-mode streamwise velocity perturbations at the two-fluid density interface were measured using particle-image velocimetry (PIV). It was found that the measured initial conditions describe an initially anisotropic state, in which the perturbations in the streamwise and spanwise directions are independent of one another. The evolution of various fluctuating velocity and density statistics, together with velocity and density variance spectra, were measured using PIV and high-resolution thermocouple data. The evolution of the velocity and density statistics is used to investigate the early-time evolution and the onset of strongly nonlinear, transitional dynamics within the mixing layer. The early-time evolution of the density and vertical velocity variance spectra indicate that velocity fluctuations are the dominant mechanism driving the instability development. The implications of the present experimental measurements on the initialization of Reynolds-averaged turbulent transport and mixing models and of direct and large-eddy simulations of Rayleigh–Taylor instability-induced turbulence are discussed.

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Section: Measurement Of Spanwise Interfacial Perturbations and Image mentioning

confidence: 74%

Experimental characterization of initial conditions and spatio-temporal evolution of a small-Atwood-number Rayleigh–Taylor mixing layer

2006

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“…3. They applied a principle similar to Racca and Dewey (1988) and Arroyo and Greated (1991) who used an arrangement of mirrors to record both views with a single camera. For the microscopic version a mirror system consisting of a prism and two mirrors was designed, enabling an angle of *34°for measurements in air and *26°for measurements in a water-filled micro channel.…”

Section: (Scanning) Stereoscopic Imagingmentioning

confidence: 99%

Particle imaging techniques for volumetric three-component (3D3C) velocity measurements in microfluidics

Cierpka

Kähler

2011

J Vis

129

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The reliable measurement of the 3D3C velocity field in microfluidic devices becomes more and more important for future optimization and developments for lab-on-a-chip applications or point-of-care medical diagnosis systems. In the past years, different particle-based imaging methods, such as confocal scanning microscopy, holography, stereoscopic and tomographic imaging or approaches based on defocused particle images or optical aberrations have been developed and applied successfully to measure velocity fields in microfluidic systems. The benefits and drawbacks of these methods will be discussed in detail as the proper understanding of the measurement principle is essential to select the most appropriate technique for a desired measurement application. Once an imaging method is chosen, the velocity can be estimated by correlation-based methods or tracking approaches. The advantages and disadvantages of both methods and the importance of image preprocessing will also be discussed in detail.

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“…These methods allow the measurement of local velocity and/or droplet size within an interrogated volume and have been used in RIM systems by Varty (1984), Yarlagadda and Yoganathan (1989), Walker et al (1989), Liu et al (1989), Duncan et al (1990), Chen and Kadambi (1990), Wildman et al (1992), Koh et al (1994), Jana (1995), Perktold et al (1997), Dietze et al (2009), and others. (iii) Particle image/tracking velocimetry (PIV/PTV) and variants thereof have been covered in detail by Adrian (1986Adrian ( , 1991, Arroyo and Greated (1991), Maas et al (1993), Grant (1997) and Fu et al (2015), among others. These techniques can provide velocity information in two or three dimensions (2-D/3-D) and have been used in many RIM systems, e.g., by Northrup et al (1991), Peurrung et al (1995), Zachos et al (1996), Hopkins et al (2000), Longmire et al (2001), Bale-Glickman et al (2003), Ninomiya and Yasuda (2006), Burgmann et al (2009), Dietze et al (2009) Buchmann et al (2010, Berard et al (2013), Im et al (2013), Yagi et al (2013), Morgan et al (2013), , Krug et al (2014).…”

Section: Introductionmentioning

confidence: 99%

A review of solid–fluid selection options for optical-based measurements in single-phase liquid, two-phase liquid–liquid and multiphase solid–liquid flows

2017

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Experimental techniques based on optical measurement principles have experienced significant growth in recent decades. They are able to provide detailed information with high-spatiotemporal resolution on important scalar (e.g., temperature, concentration, and phase) and vector (e.g., velocity) fields in single-phase or multiphase flows, as well as interfacial characteristics in the latter, which has been instrumental to step-changes in our fundamental understanding of these flows, and the development and validation of advanced models with ever-improving predictive accuracy and reliability. Relevant techniques rely upon well-established optical methods such as direct photography, laser-induced fluorescence, laser Doppler velocimetry/phase Doppler anemometry, particle image/tracking velocimetry, and variants thereof. The accuracy of the resulting data depends on numerous factors including, importantly, the refractive indices of the solids and liquids used. The best results are obtained when the observational materials have closely matched refractive indices, including test-section walls, liquid phases, and any suspended particles. This paper reviews solid–liquid and solid–liquid–liquid refractive-index-matched systems employed in different fields, e.g., multiphase flows, turbomachinery, bio-fluid flows, with an emphasis on liquid–liquid systems. The refractive indices of various aqueous and organic phases found in the literature span the range 1.330–1.620 and 1.251–1.637, respectively, allowing the identification of appropriate combinations to match selected transparent or translucent plastics/polymers, glasses, or custom materials in single-phase liquid or multiphase liquid–liquid flow systems. In addition, the refractive indices of fluids can be further tuned with the use of additives, which also allows for the matching of important flow similarity parameters such as density and viscosity

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Stereoscopic particle image velocimetry

Cited by 210 publications

References 7 publications

Experimental characterization of initial conditions and spatio-temporal evolution of a small-Atwood-number Rayleigh–Taylor mixing layer

Experimental characterization of initial conditions and spatio-temporal evolution of a small-Atwood-number Rayleigh–Taylor mixing layer

Particle imaging techniques for volumetric three-component (3D3C) velocity measurements in microfluidics

A review of solid–fluid selection options for optical-based measurements in single-phase liquid, two-phase liquid–liquid and multiphase solid–liquid flows

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