Particle image velocimetry—status and trends

Buchhave, Preben

doi:10.1016/0894-1777(92)90016-x

Cited by 77 publications

(37 citation statements)

References 64 publications

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“…PIV equipment was supplied by Dantec Dynamics. The principles of this measurement technique can be found elsewhere [15]. The lighting was generated by a Nd:YAG laser emitting at 532 nm (green).…”

Section: Methodsmentioning

confidence: 99%

Characterization of extrusion flow using particle image velocimetry

Fournier¹,

Lacrampe²,

Krawczak³

2009

Express Polym. Lett.

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Abstract. The aim of this study was the characterization of polymer flows within an extrusion die using particle image velocimetry (PIV) in very constraining conditions (high temperature, pressure and velocity). Measurements were realized on semi-industrial equipments in order to have test conditions close to the industrial ones. Simple flows as well as disrupted ones were studied in order to determine the capabilities and the limits of the method. The analysis of the velocity profiles pointed out significant wall slip, which was confirmed by rheological measurements based on Mooney's method. Numerical simulations were used to connect the two sets of measurements and to simulate complex velocity profiles for comparison to the experimental ones. A good agreement was found between simulations and experiments providing wall slip is taken into account in the simulation.

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Section: Methodsmentioning

confidence: 99%

Characterization of extrusion flow using particle image velocimetry

Fournier¹,

Lacrampe²,

Krawczak³

2009

Express Polym. Lett.

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“…The term Particle Image Velocimetry (PIV) first appeared in the literature in 1980s: reviews can be found by Adrian, 1991 [34], Buchave, 1992 [35], Adrian, 2005 [36], Adrian and Westerweel, 2011 [37]. An extensive review of the PIV techniques employed for the experimental wind comfort assessment at pedestrian level has been done in Blocken et al (2016 [9]).…”

Section: Particle Image Velocimetrymentioning

confidence: 99%

Image analysis techniques for the study of turbulent flows

Ferrari

2017

EPJ Web Conf.

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Abstract. In this paper, a brief review of Digital Image Analysis techniques employed in Fluid Mechanics for the study of turbulent flows is given. Particularly the focus is on the techniques developed by the research teams the Author worked in, that can be considered relatively "low cost" techniques. Digital Image Analysis techniques have the advantage, when compared to the traditional techniques employing physical point probes, to be non-intrusive and quasi-continuous in space, as every pixel on the camera sensor works as a single probe: consequently, they allow to obtain two-dimensional or three-dimensional fields of the measured quantity in less time. Traditionally, the disadvantages are related to the frequency of acquisition, but modern high-speed cameras are typically able to acquire at frequencies from the order of 1 KHz to the order of 1 MHz. Digital Image Analysis techniques can be employed to measure concentration, temperature, position, displacement, velocity, acceleration and pressure fields with similar equipment and setups, and can be consequently considered as a flexible and powerful tool for measurements on turbulent flows.

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“…Consequently, any flow measurement technique considered for two-phase flow investigations has to be able to simultaneously determine the three velocity components. Adrian (1991), Buchhave (1992) andGrant (1997). Grant (1994) edited a special issue about selected papers on PIV.…”

Section: Three-dimensional Particle Image Velocimetry and Tracking Almentioning

confidence: 99%

Full-Volume, Three-Dimensional, Transient Measurements of Bubbly Flows Using Particle Tracking Velocimetry and Shadow Image Velocimetry Coupled with Pattern Recognition Techniques

Hassan¹

2001

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This is the third phase report of the present NEER project. The overall goal, as d e s m i d in the initial report (report fbr phase l), was to develop a state-of-the-art; non-intrusive diagnostic tool to perform simultaneous measurements of both the temporal and threedimensional spatial velocity of the two phases of a bubbly flow. These measurements are required to provide a ikwndation for studying the constitutive closure relations needed in computational fluid dynamics and best-estimate thermal hydraulic codes employed in nuclear reactor safety analysis and severe accident simulation. Such kinds of I11-field measurements are not achievable through the commonly used point-measurement techniques, such as hot wire, conductance probe, laser Doppler anemometry, etc. The results c8fl also be used in several other applications, such as the dynamic transport of pollutants in water or studies of the dispersion of hazardous waste. A hybrid of the stereoscopic Particle Tracking Velocimetry (PTV) and the Shadow Image Velocimetry (SIV) flow measurement techniques was developed to provide threedimensional full-volume and transient velocity fields of the phases of a bubbly flow.This hybrid flow measurement technique was applied to provide us with the shape%d trajectory of a single air bubble rising in stagnant water, in a restricted medium. Pattern recognition algorithms were used to track the seed tracers embedded in the flow. These algorithms were proven to accurately describe the flow field in regions of low and high velocity gradients. Two tracking were used an Architecture Resonance Theory 2 Neural Network (ART2 NN) and the Spring Model (SM). The ART2 NN tracks tracer particles during h u r consecutive M e s , so it provides not only the velocity vector, but also the acceleration in a Lagrangian reference fiame. For regions of high velocity gradient, the SM was able to accurately track the tracer particles within two consecutive fkmes. These two pattern recognition-based algorithms were applied independently to the flow images. By combining the information fiom both tracking techniques, the fullvolume, three-dimensional velocity field was determined. The ART2 NN provided infbrmation of regions surrounding the rising bubble, while the SM descriied the flow in the bubble wake. The developed imaging and pattern recognition techniques used for this study can also be applied to medical imaging. 1In the Phase I report, a description of the constructed test hcility was presented. The camera calibration technique and a method to reduce refiaction problems were developed and presented. In addition, the PTV and SIV flow measurement techniques and tracking routines the ART2 NN and the SM were described and validated. During Phase n, the bubble shape and trajectory of the dispersed phase were obtained utilizing the developed state-of-the-art SIV technique. The wall influence on the shape and motion of the bubble was investigated. The magnitude and coefficients of the drag and lift forces acting on the bubble were also infenred fio...

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Particle image velocimetry—status and trends

Cited by 77 publications

References 64 publications

Characterization of extrusion flow using particle image velocimetry

Characterization of extrusion flow using particle image velocimetry

Image analysis techniques for the study of turbulent flows

Full-Volume, Three-Dimensional, Transient Measurements of Bubbly Flows Using Particle Tracking Velocimetry and Shadow Image Velocimetry Coupled with Pattern Recognition Techniques

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