Real-time image processing for particle tracking velocimetry

Kreizer, Mark; Ratner, David L.; Liberzon, Alex

doi:10.1007/s00348-009-0715-5

Cited by 65 publications

(28 citation statements)

References 17 publications

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“…Flow studies using 3‐DPTV are to date restricted to relatively simple flow domains: rectangular tanks; the interior of a cylindrical domain viewed directly through its flat endwalls or indirectly through an enclosing rectangular viewing box . However, static mixers are of far greater geometrical complexity on grounds of the cylindrical boundary and the presence of internal elements.…”

Section: Introductionmentioning

confidence: 99%

Three‐dimensional flow measurements in a static mixer

2012

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Laminar heat and mass transfer are central to a wide range of industrial processes, encompassing (thermal) processing of viscous fluids, compact equipment for process intensification, and emerging microfluidic devices. Many of these applications incorporate the “static‐mixing principle” (stirring of a throughflow by internal elements) for mixing and heat‐transfer enhancement. Investigations on static mixers primarily concern numerical simulations. Experimental studies, on the other hand, are relatively rare and to date restricted to visualization of mixing patterns or integral quantities as for example, pressure drop and heat‐transfer coefficients. The present study expands on this by quantitative experimental analysis of three‐dimensional (3‐D) flow fields and streamline patterns in a representative static mixer using 3‐D particle‐tracking velocimetry. This necessitates tackling of (internal) refractions and reflections caused by the complex mixer geometry. Comparison of experimental results with numerical predictions reveals a good agreement. © 2012 American Institute of Chemical Engineers AIChE J, 59: 1746–1761, 2013

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Section: Introductionmentioning

confidence: 99%

Three‐dimensional flow measurements in a static mixer

2012

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“…Very recently we (Feldman and Gelfgat 6 ) reported rather accurate timedependent computations of a 3D cubic lid-driven cavity flow, in which the steadyoscillatory transition was found to take place at even lower Reynolds number of approximately 1900. In order to validate these numerical results we conducted a series of experiments in a cubic cavity that was used for the Lagrangiantracking 7,8 . We report here on a good qualitative and quantitative agreement between the numerical and experimental results.…”

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confidence: 99%

Experimental observation of the steady-oscillatory transition in a cubic lid-driven cavity

2011

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Particle image velocimetry is applied to the lid-driven flow in a cube to validate the numerical prediction of steady -oscillatory transition at lower than ever observed Reynolds number. Experimental results agree with the numerical simulation demonstrating large amplitude oscillatory motion overlaying the base quasi-twodimensional flow in the mid-plane. A good agreement in the values of critical Reynolds number and frequency of the appearing oscillations, as well as similar spatial distributions of the oscillations amplitude are obtained.

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“…What is needed to overcome this time resolution limitation is the use of higher frame rate cameras in the kHz range (i.e., 0.5–5 kHz at a resolution of at least 1000 × 1000 pixels) which are increasingly becoming available and at affordable budgets. One good solution of this type was very recently proposed by Kreizer et al37 were they discussed real‐time image processing for PTV (at 500 Hz). Their work focused on reducing the data rates between camera and computer during PTV acquisition which is a limitation at high frame rates.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

A 4D imaging tool for Lagrangian particle tracking in stirred tanks

Cheng

Díez

2010

AIChE Journal

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A time-resolved volumetric 3D particle tracking tool is presented for mixing in stirred tanks studies and its capabilities are explored in a low Reynolds number custom-made stirred tank. The technique provides a Lagrangian description of particles in the flow resolving their 3D trajectories, velocities, and acceleration. The optimization of the system allowed, for the first time, tracking $400 particles at a time in an imaged volume (60 mm Â 60 mm Â 50 mm) in the stirred tank. The system was validated in a 1-D piston-driven flow and by comparing the measurements with a 2D-particle image velocimetry system in a stirred tank. Results show the advantages of this technique to understand particle dynamics. Sample measurements illustrated that small changes in the stirrer configuration produced an unexpected variety of particle trajectories which were classified according to their path shape and location. Particle velocities and Lagrangian accelerations provided new insights into their mixing process.

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Real-time image processing for particle tracking velocimetry

Cited by 65 publications

References 17 publications

Three‐dimensional flow measurements in a static mixer

Three‐dimensional flow measurements in a static mixer

Experimental observation of the steady-oscillatory transition in a cubic lid-driven cavity

A 4D imaging tool for Lagrangian particle tracking in stirred tanks

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