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Drag reduction in boiling Taylor–Couette turbulence

Published online by Cambridge University Press:  24 October 2019

Rodrigo Ezeta
Affiliation:
Physics of Fluids Group, Max-Planck-Center Twente for Complex Fluid Dynamics, Mesa+ Institute, and J. M. Burgers Centre for Fluid Dynamics, Department of Science and Technology, University of Twente, P.O. Box 2177500 AE Enschede, The Netherlands
Dennis Bakhuis
Affiliation:
Physics of Fluids Group, Max-Planck-Center Twente for Complex Fluid Dynamics, Mesa+ Institute, and J. M. Burgers Centre for Fluid Dynamics, Department of Science and Technology, University of Twente, P.O. Box 2177500 AE Enschede, The Netherlands
Sander G. Huisman
Affiliation:
Physics of Fluids Group, Max-Planck-Center Twente for Complex Fluid Dynamics, Mesa+ Institute, and J. M. Burgers Centre for Fluid Dynamics, Department of Science and Technology, University of Twente, P.O. Box 2177500 AE Enschede, The Netherlands
Chao Sun
Affiliation:
Physics of Fluids Group, Max-Planck-Center Twente for Complex Fluid Dynamics, Mesa+ Institute, and J. M. Burgers Centre for Fluid Dynamics, Department of Science and Technology, University of Twente, P.O. Box 2177500 AE Enschede, The Netherlands Center for Combustion Energy, Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Energy and Power Engineering, Tsinghua University, 100084 Beijing, PR China
Detlef Lohse*
Affiliation:
Physics of Fluids Group, Max-Planck-Center Twente for Complex Fluid Dynamics, Mesa+ Institute, and J. M. Burgers Centre for Fluid Dynamics, Department of Science and Technology, University of Twente, P.O. Box 2177500 AE Enschede, The Netherlands Max Planck Institute for Dynamics and Self-Organization, Am Fassberg 17, 37077 Göttingen, Germany
*
Email address for correspondence: d.lohse@utwente.nl

Abstract

We create a highly controlled laboratory environment – accessible to both global and local monitoring – to analyse turbulent boiling flows and in particular their shear stress in a statistically stationary state. By precisely monitoring the drag of strongly turbulent Taylor–Couette flow (the flow in between two coaxially rotating cylinders, Reynolds number $Re\approx 10^{6}$) during its transition from non-boiling to boiling, we show that the intuitive expectation, namely that a few volume per cent of vapour bubbles would correspondingly change the global drag by a few per cent, is wrong. Rather, we find that for these conditions a dramatic global drag reduction of up to 45 % occurs. We connect this global result to our local observations, showing that for major drag reduction the vapour bubble deformability is crucial, corresponding to Weber numbers larger than one. We compare our findings with those for turbulent flows with gas bubbles, which obey very different physics from those of vapour bubbles. Nonetheless, we find remarkable similarities and explain these.

Information

Type
JFM Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s) 2019
Figure 0

Figure 1. Vapour bubble generation and migration close to the surface of the IC in the boiling regime. Each image corresponds to a different stage during the experiment. Time moves from left to right: the numbers at the top of each image correspond to the time steps shown in figure 3(d). The nucleation of vapour bubbles starts at the top of the cell because the hydrostatic pressure there is smaller. The vapour bubble front then travels downwards by bubble dispersion until the surface of the IC is fully covered. Note that the volume fraction is increasing with time.

Figure 1

Figure 2. Diagram of the experimental apparatus. The control volume defined by the blue dashed lines corresponds to the volume of the cell $V_{TC}$. Correspondingly, in green dashed lines we highlight the volume of the tubing $V_{tube}$. Finally, in red dashed lines we highlight the volume of the liquid height in the upper vessel $V_{L}(t)$.

Figure 2

Figure 3. (a) Liquid temperature $T_{TC}$, (b) pressure $P$, (c) volume fraction $\unicode[STIX]{x1D6FC}$, (d) compensated Nusselt number $Nu_{\unicode[STIX]{x1D714}}Ta^{-0.4}$ and (e) drag reduction (DR) as a function of time. The grey shaded areas and the blue lines correspond to data in the non-boiling regime, i.e. $t. The boiling point is defined using the intersection $P=P_{v}$ at a certain time as is shown in (b). The time steps in (d) correspond to the photographs shown in figure 1.

Figure 3

Figure 4. (a) Drag reduction (DR) as a function of $Ta$ and $\unicode[STIX]{x1D6FC}$ for different experiments. Note that neither $\unicode[STIX]{x1D6FC}$, nor DR, nor $Ta$ are control parameters, but responses of the system to the temperature change. The horizontal axis at the top of the figure represents the Reynolds number $Re_{i}$. The colour bar represents the volume fraction $\unicode[STIX]{x1D6FC}$. The grey data points correspond to data in the non-boiling regime ($\text{DR}\approx 0$, $\unicode[STIX]{x1D6FC}\approx 0$). The open circles represent the drag reduction obtained with air bubbles at a fixed $Ta=1.51\times 10^{12}$ (van Gils et al.2013). A 5 % error bar is shown that applies to all experiments. (b) Drag reduction as a function of the volume fraction $\unicode[STIX]{x1D6FC}$. The coloured lines represent the different experiments as shown in (a). The open circles correspond to the data of van Gils et al. (2013) for drag reduction using air bubbles. The error bars for both quantities DR (5 %) and $\unicode[STIX]{x1D6FC}$ (0.5 %) are included. A three-dimensional animation of the data is included in the supplementary material, available at https://doi.org/10.1017/jfm.2019.758. Note the degree of reproducibility of our controlled experiments, which is remarkable for the boiling process, which is considered to be random and irregular.

Figure 4

Figure 5. (a) The PDF of the bubble Weber number during the boiling experiment for different volume fractions on linear scale. The colours represent the variation of $\unicode[STIX]{x1D6FC}$ as shown in the legend. Parameter $N_{b}$ is the number of detected bubbles in every measurement. (b) Same as in (a) but on log–log scale. The inset in (b) represents the mean Weber number as a function of the volume fraction. The error bars in (b) correspond to $\pm \unicode[STIX]{x1D70E}(We)$, where $\unicode[STIX]{x1D70E}(We)$ is the standard deviation of the Weber number for a given $\unicode[STIX]{x1D6FC}$.

Ezeta et al. supplementary movie

3D representation of the drag reduction (DR) as a function of the driving (Ta) and the volume fraction of vapor (α) for different experiments. The gray data points correspond to data in the non-boiling regime (DR≈0, α≈0). The open circles represent the drag reduction obtained with air bubbles at a fixed Ta=1.51 x 1012 (van Gils et al. 2013). The colorbar represents the volume fraction (α).

Download Ezeta et al. supplementary movie(Video)
Video 7.8 MB