Tomographic Particle Image Velocimetry of Turbulent Rayleigh-Benard Convection in a Cubic Sample

Schiepel, Daniel; Bosbach, Johannes; Wagner, Claus

doi:10.1615/jflowvisimageproc.2014010441

Cited by 6 publications

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“…In addition, a large-scale flow structure filling the convection sample is visible. This was also found for the same data set by [47] using tomographic PIV. New insight is gained by the reconstruction of a previously unresolved smaller corner flow reported at X and Y ≈ 50mm.…”

Section: Particle Trackingsupporting

confidence: 75%

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A Probabilistic Particle Tracking Framework for Guided and Brownian Motion Systems with High Particle Densities

et al. 2021

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This paper presents a new framework for particle tracking based on a Gaussian Mixture Model (GMM). It is an extension of the state-of-the-art iterative reconstruction of individual particles by a continuous modeling of the particle trajectories considering the position and velocity as coupled quantities. The proposed approach includes an initialization and a processing step. In the first step, the velocities at the initial points are determined after iterative reconstruction of individual particles of the first four images to be able to generate the tracks between these initial points. From there on, the tracks are extended in the processing step by searching for and including new points obtained from consecutive images based on continuous modeling of the particle trajectories with a Gaussian Mixture Model. The presented tracking procedure allows to extend existing trajectories interactively with low computing effort and to store them in a compact representation using little memory space. To demonstrate the performance and the functionality of this new particle tracking approach, it is successfully applied to a synthetic turbulent pipe flow, to the problem of observing particles corresponding to a Brownian motion (e.g., motion of cells), as well as to problems where the motion is guided by boundary forces, e.g., in the case of particle tracking velocimetry of turbulent Rayleigh–Bénard convection.

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Section: Particle Trackingsupporting

confidence: 75%

“…For the here considered case, the experimental settings are T C = 18 • C, T H = 24 • C, with an average sample temperature of T = 21 • C and T = 6 K. The corresponding characteristic numbers are a Prandtl number of 6.9 and a Rayleigh number of 1.0 ⋅ 10 10 . A full description of the experimental apparatus and setup can be found in [47].…”

Section: Methodsmentioning

confidence: 99%

A Probabilistic Particle Tracking Framework for Guided and Brownian Motion Systems with High Particle Densities

et al. 2021

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“…al. [72] bei Studien im hart-turbulenten Regime gemessen. So bildet sich in Gefäßen mit Γ xy = 1 eine einzelne LSC aus, die elliptisch geformt ist.…”

Section: Geschwindigkeitsfeldstudienunclassified

“…al. [72] • "Simultaneous velocity and temperature measurements in turbulent Rayleigh-Bénard convection based on combined Tomo-PIV and PIT" von Schiepel et. al.…”

Section: D-modenzerlegungmentioning

confidence: 99%

“…Die in Abschnitt 4.1.2 präsentierte qualitative Beschreibung des Wandels von Strömungszuständen ist in dieser Form bisher noch nicht festgehalten und konnte in diesem Abschnitt quantitativ erfasst werden. Anfangs-und Endzustand, bei Ra = 2, 1 • 10 6 respektive Ra = 2, 8 • 10 9 oder sogar Ra = 1, 0 • 10 10 , stimmen gut mit der Literatur überein [72,92,98].…”

Section: Zusammenfassungunclassified

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Experimentelle Erfassung und Charakterisierung der dreidimensionalen großskaligen Strömungsstrukturen und -temperaturen in Rayleigh-Bénard-Konvektion

Schiepel¹

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Corner Circulation Scaling Laws of Turbulent Rayleigh-Bénard Convection in a Cubic Cell

Barta,

Bauer,

Schiepel

et al. 2024

Springer Proceedings in Physics

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Tomographic Particle Image Velocimetry of Turbulent Rayleigh-Benard Convection in a Cubic Sample

Cited by 6 publications

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A Probabilistic Particle Tracking Framework for Guided and Brownian Motion Systems with High Particle Densities

A Probabilistic Particle Tracking Framework for Guided and Brownian Motion Systems with High Particle Densities

Experimentelle Erfassung und Charakterisierung der dreidimensionalen großskaligen Strömungsstrukturen und -temperaturen in Rayleigh-Bénard-Konvektion

Corner Circulation Scaling Laws of Turbulent Rayleigh-Bénard Convection in a Cubic Cell

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