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Characterization of superhydrophobic surfaces for drag reduction in turbulent flow

Published online by Cambridge University Press:  27 April 2018

James W. Gose*
Affiliation:
Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, MI 48109, USA
Kevin Golovin
Affiliation:
Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI 48109, USA
Mathew Boban
Affiliation:
Department of Macromolecular Science and Engineering, University of Michigan, Ann Arbor, MI 48109, USA
Joseph M. Mabry
Affiliation:
Rocket Propulsion Division, Air Force Research Laboratory, Edwards Air Force Base, CA 93524, USA
Anish Tuteja
Affiliation:
Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI 48109, USADepartment of Macromolecular Science and Engineering, University of Michigan, Ann Arbor, MI 48109, USA
Marc Perlin
Affiliation:
Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, MI 48109, USA
Steven L. Ceccio
Affiliation:
Department of Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, MI 48109, USA
*
†Email address for correspondence: jgose@umich.edu

Abstract

A significant amount of the fuel consumed by marine vehicles is expended to overcome skin-friction drag resulting from turbulent boundary layer flows. Hence, a substantial reduction in this frictional drag would notably reduce cost and environmental impact. Superhydrophobic surfaces (SHSs), which entrap a layer of air underwater, have shown promise in reducing drag in small-scale applications and/or in laminar flow conditions. Recently, the efficacy of these surfaces in reducing drag resulting from turbulent flows has been shown. In this work we examine four different, mechanically durable, large-scale SHSs. When evaluated in fully developed turbulent flow, in the height-based Reynolds number range of 10 000 to 30 000, significant drag reduction was observed on some of the surfaces, dependent on their exact morphology. We then discuss how neither the roughness of the SHSs, nor the conventional contact angle goniometry method of evaluating the non-wettability of SHSs at ambient pressure, can predict their drag reduction under turbulent flow conditions. Instead, we propose a new characterization parameter, based on the contact angle hysteresis at higher pressure, which aids in the rational design of randomly rough, friction-reducing SHSs. Overall, we find that both the contact angle hysteresis at higher pressure, and the non-dimensionalized surface roughness, must be minimized to achieve meaningful turbulent drag reduction. Further, we show that even SHSs that are considered hydrodynamically smooth can cause significant drag increase if these two parameters are not sufficiently minimized.

Information

Type
JFM Papers
Copyright
© Cambridge University Press 2018. This is a work of the U.S. Government and is not subject to copyright protection in the United States. 
Figure 0

Figure 1.The correlation between the details of the surface texture and heterogeneous three-phase interface that can form on an idealized superhydrophobic surface comprising macro-sized and nano-sized features. Above the solid surface, the velocity of the flow at the wall must go to zero to match the speed of the solid. However, over the air pocket (between micro-sized features separated by a distance $\unicode[STIX]{x1D6E5}/2$), the velocity can be non-zero, creating a local slip velocity $u_{s}$ and a corresponding local slip length $\unicode[STIX]{x1D706}_{x}$ (b). On the upper, horizontal surface of the micro-sized features there are smaller features that are wetted by the liquid water (marked in dark red) (a). This wetted region can be described by $r_{\unicode[STIX]{x1D719}}\unicode[STIX]{x1D719}_{s}\unicode[STIX]{x1D6E5}$, where $r_{\unicode[STIX]{x1D719}}$ and $\unicode[STIX]{x1D719}_{s}$ are the ratio of the wetted surface area to its projected surface area and the areal fraction of the surface that is wetted by the liquid, respectively.

Figure 1

Table 1.Previous studies on drag reduction (DR) in turbulent flow with corresponding geometry of surfaces, apparent contact angle $\unicode[STIX]{x1D703}^{\ast }$ and contact angle hysteresis $\unicode[STIX]{x0394}\unicode[STIX]{x1D703}$ when reported, where $\unicode[STIX]{x0394}\unicode[STIX]{x1D703}$ is equal to the difference between the advancing contact angle $\unicode[STIX]{x1D703}_{adv}^{\ast }$ and receding contact angle $\unicode[STIX]{x1D703}_{rec}^{\ast }$. Lengths of the tested surfaces, range of friction Reynolds numbers evaluated ($Re_{\unicode[STIX]{x1D70F}}=H/2\unicode[STIX]{x1D6FF}_{\unicode[STIX]{x1D708}}=\unicode[STIX]{x1D6FF}/\unicode[STIX]{x1D6FF}_{\unicode[STIX]{x1D708}}$ where $H$ is the channel height, $\unicode[STIX]{x1D6FF}_{\unicode[STIX]{x1D708}}$ is the viscous length scale and $\unicode[STIX]{x1D6FF}$ is the effective boundary layer thickness) and the observed drag reduction (positive) or drag increase (negative) are also tabulated.

Figure 2

Figure 2.SEM micrographs of the four SHSs produced in this work. Scale bars are $20~\unicode[STIX]{x03BC}\text{m}$.

Figure 3

Table 2.Summary of the SHSs fabricated for this work, with their low-pressure apparent contact angle $\unicode[STIX]{x1D703}^{\ast }$ and r.m.s. roughness $k$.

Figure 4

Figure 3.The measured static apparent contact angle of a droplet may be used to calculate the wetted area fraction $r_{\unicode[STIX]{x1D719}}\unicode[STIX]{x1D719}_{s}$ using (2.1). This experimental $r_{\unicode[STIX]{x1D719}}\unicode[STIX]{x1D719}_{s}$ is then used to determine the meniscus height, and subsequently, the geometry of wetted asperities, by using a height map of the surface texture. These are computed for varying hydrostatic pressures by using measured $\unicode[STIX]{x1D703}^{\ast }$ of droplets with varying volume and Laplace pressure as shown in figure 4. This also allows extrapolation to pressures greater that can be measured with goniometry, as the droplet volume becomes impractically small. Here we show a height map of surface number 2, collected with an Olympus LEXT OLS4000 laser measuring microscope with a Z step size of $1.25~\unicode[STIX]{x03BC}\text{m}$, an overall scan area of 2.5 $\times$ 2.5 mm and an XY resolution of $1.25\times 1.25~\unicode[STIX]{x03BC}\text{m}$. Superimposed on the upper height map is the meniscus at low pressure, which is conventionally used to measure contact angle. The meniscus at high pressure shown on the bottom height map may be expected in turbulent flow conditions.

Figure 5

Figure 4.The apparent contact angle $\unicode[STIX]{x1D703}^{\ast }$ as a function of pressure for the four surfaces considered in this work, as measured using drops of varying volume and Laplace pressure. The lines are power law fits to the data. The insets show goniometer images of droplets on surface number 1 (below) and number 3 (above).

Figure 6

Figure 5.The expected measured apparent contact angle $\unicode[STIX]{x1D703}^{\ast }$ as a function of pressure and the corresponding height-based Reynolds number $Re_{H}$ (see (3.1)) of the experimental flow facility (shown in figure 7 and discussed in § 3) for the four surfaces considered in this work. The quantities presented were extrapolated from a power law fit to the experimental contact angle data in figure 4.

Figure 7

Figure 6.The expected variation of $r_{\unicode[STIX]{x1D719}}\unicode[STIX]{x1D719}_{s}$ as a function of pressure and the corresponding height-based Reynolds number $Re_{H}$ (see (3.1)) of the experimental flow facility (shown in figure 7 and discussed in § 3) for the four surfaces considered in this work. The quantities presented were extrapolated from a power law fit to the experimental contact angle data in figure 4.

Figure 8

Figure 7.(a) Schematic of the fully developed turbulent flow facility. The major flow components are presented in upper half of (a), while a detailed depiction of the test section is shown in the lower half of (a). (b) Image of the flow facility. Fabricated SHSs are inserted into the top of test section (outlined in red). (c) Image of the pressure taps used to infer the skin friction, viewed obliquely from the underside of the test section.

Figure 9

Figure 8.(a) Average wall shear stress calculated from the streamwise pressure drop along the fully developed turbulent channel with one baseline, hydrodynamically smooth surface and one SHS. The reduction in shear stress is only seen on some of the SHSs. (b) Velocity profiles measured over the baseline and the variations of SHS number 2. Significant reduction in the velocity occurs in the presence of the roughness elements on the rougher surface variations. DNS data from Kim, Moin & Moser (1987) are included for reference purposes.

Figure 10

Figure 9.Experimental (exp.) and calculated (calc.) $C_{T}$ values for surface numbers 1–4, denoted as panels (a–d). The calculated $C_{T}$ includes the skin friction expected for a hydrodynamically smooth flat plate as well as the total form drag due to any asperity roughness. The experimental $C_{T}$ includes both asperity form drag and the skin-friction drag on the SHS. Therefore, these surfaces may still be producing skin-friction drag reduction locally, but the effect was sometimes mitigated by the overall increase in form drag (surface numbers 1 and 2).

Figure 11

Figure 10.The effect of surface roughness. (a) Three variations of surface number 2, exhibiting either significant form drag, or significant drag reduction. Open symbols are the calculated $C_{T}$ values and closed symbols are the experimental data. The baseline is for the unmodified surface number 2. (b) The drag reduction or increase (negative means drag increase) provided by all the surfaces considered as a function of the non-dimensional roughness. Recall that the drag associated with the smooth baseplate has been removed. (c–d) The drag reduction data collapsed onto a single curve when plotted versus the product of the non-dimensional roughness and the higher-pressure contact angle hysteresis (370 Pa for a 250 nl droplet) or $r_{\unicode[STIX]{x1D719}}\unicode[STIX]{x1D719}_{s}$.