2D PTV Based on Binary Correlation Method and Its Application to Fluctuating Flows

Yamamoto, Fujio; Uemura, Tomomasa; Koukawa, Mitsuo; Iguchi, Manabu; Ohta, Junichi; Sakai, Y.

doi:10.1007/978-3-642-84824-7_145

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…The cameras ͑Kodak MegaPlus ES1.0͒ have a 10-bit grayscale CCD with a resolution of 1018ϫ 1008 pixels and a maximum sampling frequency of 30 Hz. The 3D particle tracks are determined using the 3D PTV algorithm developed by Kieft et al, 9,22 who based their method on the work of Yamamoto et al 23 The algorithm starts with a filtering technique called dynamic thresholding to get rid of background noise in the obtained images. Subsequently, the 2D representation of a particle is detected within each camera image and, combined with the camera calibration information, the 3D particle position is determined.…”

Section: B 3d Ptv Methodsmentioning

confidence: 99%

Determination of the coefficients of Langevin models for inhomogeneous turbulent flows by three-dimensional particle tracking velocimetry and direct numerical simulation

2007

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A promising and, in terms of computer power, low-cost way of describing flow properties such as turbulent diffusion is by Langevin models. The development of such models requires knowledge of Lagrangian statistics of turbulent flows. Our aim is to determine Lagrangian statistics of inhomogeneous flows, as most turbulent flows found in practical applications are inhomogeneous. The present paper describes how a Lagrangian measurement technique, three-dimensional particle tracking velocimetry, has been developed and applied to the most common example of inhomogeneous flows: turbulent pipe flow. A new direct numerical simulation (DNS) code has been developed and experimental results have been compared with results of this DNS code. The results concern Eulerian and Lagrangian velocity statistics at two Reynolds numbers. Based on these, coefficients of the Langevin model have been determined and physical consequences for Langevin modeling and turbulent dispersion have been explained.

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Section: B 3d Ptv Methodsmentioning

confidence: 99%

Determination of the coefficients of Langevin models for inhomogeneous turbulent flows by three-dimensional particle tracking velocimetry and direct numerical simulation

2007

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“…The 3D particle tracks are determined using the 3D PTV algorithm developed by Kieft et al [11] who based their method on the work of Yamamoto et al [17] and Nishino et al [18]. Each detected particle is situated somewhere along a perspective line for each of the three cameras.…”

Section: D Position Calibrationmentioning

confidence: 99%

Design of a set-up for high-accuracy 3D PTV measurements in turbulent pipe flow

Walpot

Rosielle

Geld

2006

Meas. Sci. Technol.

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Turbulent flows are often encountered in common practice, usually at high Reynolds number. The development of Lagrangian stochastic models of these flows requires knowledge of Lagrangian statistics. To study the Lagrangian statistics of turbulent pipe flow, a dedicated 3D particle tracking velocimetry set-up has been designed. In this paper, design parameters, selection criteria and solutions are discussed. The measurement accuracies are studied in detail. Typical 3D particle tracking velocimetry results for turbulent pipe flow are compared and found to be in good agreement with direct numerical simulations.

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2D PTV Based on Binary Correlation Method and Its Application to Fluctuating Flows

Cited by 2 publications

References 3 publications

Determination of the coefficients of Langevin models for inhomogeneous turbulent flows by three-dimensional particle tracking velocimetry and direct numerical simulation

Determination of the coefficients of Langevin models for inhomogeneous turbulent flows by three-dimensional particle tracking velocimetry and direct numerical simulation

Design of a set-up for high-accuracy 3D PTV measurements in turbulent pipe flow

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