3D PTV and its application on Lagrangian motion

Virant, M.; Dracos, Themistocles

doi:10.1088/0957-0233/8/12/017

Cited by 138 publications

(100 citation statements)

References 20 publications

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“…Images of the tracer particles are analyzed to determine their motion in the turbulent flow. 6,7,48 Due to the rapid decrease of the Kolmogorov scale with Reynolds number in typical laboratory flows, previous experimental measurements were often limited to small Reynolds numbers. 6,8 The Kolmogorov time scale at R ϳ 10 3 in a laboratory water flow was so far resolved only by using four high speed silicon strip detectors originally developed for high-energy physics experiments.…”

Section: A Experimentsmentioning

confidence: 99%

“…6,7,48 Due to the rapid decrease of the Kolmogorov scale with Reynolds number in typical laboratory flows, previous experimental measurements were often limited to small Reynolds numbers. 6,8 The Kolmogorov time scale at R ϳ 10 3 in a laboratory water flow was so far resolved only by using four high speed silicon strip detectors originally developed for high-energy physics experiments. 9,11 The one-dimensional nature of the silicon strip detector, however, restricted the three-dimensional tracking to a single particle at a time, limiting severely the rate of data collection.…”

Section: A Experimentsmentioning

confidence: 99%

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Lagrangian structure functions in turbulence: A quantitative comparison between experiment and direct numerical simulation

et al. 2008

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Document VersionPublisher's PDF, also known as Version of Record (includes final page, issue and volume numbers)Please check the document version of this publication:• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication Citation for published version (APA):Biferale, L., Bodenschatz, E., Cencini, M., Lanotte, A. S., Ouellette, N. T., Toschi, F., & Xu, H. (2008). Lagrangian structure functions in turbulence : a quantitative comparison between experiment and direct numerical simulation. Physics of Fluids, 20(6), 065103-1/12. [065103]. DOI: 10.1063/1.2930672 General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. A detailed comparison between data from experimental measurements and numerical simulations of Lagrangian velocity structure functions in turbulence is presented. Experimental data, at Reynolds number ranging from R = 350 to R = 815, are obtained in a swirling water flow between counter-rotating baffled disks. Direct numerical simulations ͑DNS͒ data, up to R = 284, are obtained from a statistically homogeneous and isotropic turbulent flow. By integrating information from experiments and numerics, a quantitative understanding of the velocity scaling properties over a wide range of time scales and Reynolds numbers is achieved. To this purpose, we discuss in detail the importance of statistical errors, anisotropy effects, and finite volume and filter effects, finite trajectory lengths. The local scaling properties of the Lagrangian velocity increments in the two data sets are in good quantitative agreement for all time lags, showing a degree of intermittency that changes if measured close to the Kolmogorov time scales or at larger time lags. This systematic study resolves apparent disagreement between observed experimental and numerical scaling pro...

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Section: A Experimentsmentioning

confidence: 99%

Section: A Experimentsmentioning

confidence: 99%

Lagrangian structure functions in turbulence: A quantitative comparison between experiment and direct numerical simulation

et al. 2008

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“…Virant and Dracos (1997)) on a rotating table facility. It acquires images of the flow from four different points-of-view, in order to maximise the particle 'trackability' of the PTV algorithm (Willneff and Gruen, 2002).…”

Section: The Particle Tracking Systemmentioning

confidence: 99%

Table-top rotating turbulence: an experimental insight through particle tracking

Castello

Clercx

Trieling

et al. 2009

Springer Proceedings in Physics

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“…Conventional detector technologies are effective for low Reynolds number flows [10,11], but do not provide adequate temporal resolution at high Reynolds numbers. However, the requirements are met by the use of silicon strip detectors as optical imaging elements in a particle tracking system.…”

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Fluid particle accelerations in fully developed turbulence

Porta

Voth

Crawford

et al. 2001

Nature

553

525

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The motion of fluid particles as they are pushed along erratic trajectories by fluctuating pressure gradients is fundamental to transport and mixing in turbulence. It is essential in cloud formation and atmospheric transport[1, 2], processes in stirred chemical reactors and combustion systems [3], and in the industrial production of nanoparticles[4]. The perspective of particle trajectories has been used successfully to describe mixing and transport in turbulence[3, 5], but issues of fundamental importance remain unresolved. One such issue is the Heisenberg-Yaglom prediction of fluid particle accelerations [6,7], based on the 1941 scaling theory of Kolmogorov[8, 9] (K41). Here we report acceleration measurements using a detector adapted from high-energy physics to track particles in a laboratory water flow at Reynolds numbers up to 63,000. We find that universal K41 scaling of the acceleration variance is attained at high Reynolds numbers. Our data show strong intermittency-particles are observed with accelerations of up to 1,500 times the acceleration of gravity (40 times the root mean square value). Finally, we find that accelerations manifest the anisotropy of the large scale flow at all Reynolds numbers studied.In principle, fluid particle trajectories are easily measured by seeding a turbulent flow with minute tracer particles and following their motions with an imaging system. In practice this can be a very challenging task since we must fully resolve particle motions which take place on times scales of the order of the Kolmogorov time, τ η = (ν/ǫ) 1/2 where ν is the kinematic viscosity and ǫ is the turbulent energy dissipation. This is exemplified in Fig. 1, which shows a measured three-dimensional, time resolved trajectory of a tracer particle undergoing violent accelerations in our turbulent water flow, for which τ η = 0.3 ms. The particle enters the detection volume on the upper right, is pushed to the left by a burst of acceleration and comes nearly to a stop before being rapidly accelerated (1200 times the acceleration of gravity) upward in a cork-screw motion. This trajectory illustrates the difficulty in following tracer particles-a particle's acceleration can go from zero to 30 times its rms value and back to zero in fractions of a millisecond and within distances of hundreds of micrometers.Conventional detector technologies are effective for low Reynolds number flows[10, 11], but do not provide adequate temporal resolution at high Reynolds numbers. However, the requirements are met by the use of silicon strip detectors as optical imaging elements in a particle tracking system. The strip detectors employed in our experiment (See Fig. 2a) were developed to measure particle tracks in the vertex detector of the CLEO III experiment operating at the Cornell Electron Positron Collider [12]. When applied to particle tracking in turbulence (See Fig. 2b) each detector measures a one-dimensional projection of the image of the tracer particles. Using a data acquisition system designed for the turbulence expe...

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3D PTV and its application on Lagrangian motion

Cited by 138 publications

References 20 publications

Lagrangian structure functions in turbulence: A quantitative comparison between experiment and direct numerical simulation

Lagrangian structure functions in turbulence: A quantitative comparison between experiment and direct numerical simulation

Table-top rotating turbulence: an experimental insight through particle tracking

Fluid particle accelerations in fully developed turbulence

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