Hot-film anemometry in bubbly flow I: bubble–probe interaction

Rensen, Judith; Luther, Stefan; Vries, J. de; Lohse, Detlef

doi:10.1016/j.ijmultiphaseflow.2004.11.005

Cited by 30 publications

(21 citation statements)

References 20 publications

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“…In some systems this is already implemented in the software. As an example we show recordings of the interaction of a rising bubble with a hot-wire probe [70], see Fig. 17.…”

Section: Triggeringmentioning

confidence: 99%

High-speed imaging in fluids

Versluis

2013

Exp Fluids

153

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High-speed imaging is in popular demand for a broad range of experiments in fluids. It allows for a detailed visualization of the event under study by acquiring a series of image frames captured at high temporal and spatial resolution. This review covers high-speed imaging basics, by defining criteria for high-speed imaging experiments in fluids and to give rule-of-thumbs for a series of cases. It also considers stroboscopic imaging, triggering and illumination, and scaling issues. It provides guidelines for testing and calibration. Ultra high-speed imaging at frame rates exceeding 1 million frames per second is reviewed, and the combination of conventional experiments in fluids techniques with high-speed imaging techniques are discussed. The review is concluded with a high-speed imaging chart, which summarizes criteria for temporal scale and spatial scale and which facilitates the selection of a high-speed imaging system for the application.

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“…In some systems this is already implemented in the software. As an example we show recordings of the interaction of a rising bubble with a hot-wire probe [70], see Fig. 17.…”

Section: Triggeringmentioning

confidence: 99%

High-speed imaging in fluids

Versluis

2013

Exp Fluids

153

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“…The effective contact area between the gas bubbles and liquid metals depends on the bubble sizes and distributions. Obtaining a wide dispersion of small bubbles in the bath is the key technology for ensuring highly efficient refining by gas injection [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Numerical simulations of gas-liquid flow in the gas injection process with mechanical stirring

Shao¹,

Zhang²,

Liu³

et al. 2013

AIP Conference Proceedings

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Abstract. Based on Euler-Euler approach, a mathematical model is established to describe gas and liquid two-phase flow in a gas injected mechanically stirred system used in hot metal desulfurization process. The influences of different impellers types and rotation methods were investigated. The results show that the predicted distribution of bubbles in the bath agrees well with experimental results. The gas-liquid flow in the gas injected-mechanically stirred system can be accurately described by the present model. Compared to the standard impeller, the improved impeller in forward stirring mode is more efficient to increase the retention time and dispersion of bubbles.

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“…Such measurements had earlier been employed to determine the modification of turbulent spectra through bubbles. [22][23][24] For the calculation of the velocity spectra bubbles hitting the probe had first to be identified in the hot-wire signals 25,26 and then filtered out. In the present paper, we employ the very same hot-wire time series to obtain information on the bubble clustering in the turbulent flow.…”

Section: Introductionmentioning

confidence: 99%

Quantifying microbubble clustering in turbulent flow from single-point measurements

et al. 2008

Self Cite

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Single-point hot-wire measurements in the bulk of a turbulent channel have been performed in order to detect and quantify the phenomenon of preferential bubble accumulation. We show that statistical analysis of the bubble-probe colliding-time series can give a robust method for investigation of clustering in the bulk regions of a turbulent flow where, due to the opacity of the flow, no imaging technique can be employed. We demonstrate that microbubbles (R0≃100μm) in a developed turbulent flow, where the Kolmogorov-length scale is η≃R0, display preferential concentration in small scale structures with a typical statistical signature ranging from the dissipative range, O(η), up to the low inertial range O(100η). A comparison to Eulerian–Lagrangian numerical simulations is also presented to further support our proposed way to characterize clustering from temporal time series at a fixed position.

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Hot-film anemometry in bubbly flow I: bubble–probe interaction

Cited by 30 publications

References 20 publications

High-speed imaging in fluids

High-speed imaging in fluids

Numerical simulations of gas-liquid flow in the gas injection process with mechanical stirring

Quantifying microbubble clustering in turbulent flow from single-point measurements

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