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[P-ISSN: 2413-5100] & [E-ISSN: 2413-5119]

Using Direct Numerical Simulation for Evaluating of Superhydrophobic Turbulent Drag Reduction

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International Journal of Applied Science and Engineering Research, 2022

Autour(s)

  • Lee Chen, Zheng Xiang , Bing Pan, Don Chen

Abstract

Superhydrophobic surfaces combine hydrophobic surface chemistry with topological microfeatures. These surfaces have been shown to provide drag reduction in laminar and turbulent flows. In this work, direct numerical simulation is used to investigate the drag reducing performance of superhydrophobic surfaces in turbulent channel flow. Slip velocities, wall shear stresses, and Reynolds stresses are determined for a variety of superhydrophobic surface microfeature geometry configurations at friction Reynolds numbers of Reτ ≈ 180, Reτ ≈ 395 and Reτ ≈ 590. This work provides evidence that superhydrophobic surfaces are capable of reducing drag in turbulent flow situations by manipulating the laminar sublayer. For the largest micro-feature spacing, an average slip velocity over 80% of the bulk velocity is obtained, and the wall shear stress reduction is found to be greater than 50%. The simulation results suggest that the mean velocity profile near the superhydrophobic wall continues to scale with the wall shear stress and the log layer is still present, but both are offset by a slip velocity that is primarily dependent on the microfeature spacing.

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