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Drag Reduction on a Patterned Superhydrophobic Surface
Abstract
We present an experimental study of a low-Reynolds number shear flow between two surfaces, one of which has a regular grooved texture augmented with a superhydrophobic coating. The combination reduces the effective fluid-surface contact area, thereby appreciably decreasing the drag on the surface and effectively changing the macroscopic boundary condition on the surface from no slip to limited slip. We measure the force on the surface and the velocity field in the immediate vicinity on the surface (and thus the wall shear) simultaneously. The latter facilitates a direct assessment of the effective slip length associated with the drag reduction.
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Cited by
Superhydrophobic surfaces: from structural control to functional application
Zhang, X., Shi, F., Niu, J., Jiang, Y., & Wang, Z. (2008) · J. Mater. Chem. · doi:10.1039/b711226b · Cited by 1,768
Bioinspired Surfaces with Superwettability: New Insight on Theory, Design, and Applications
Wang, S., Liu, K., Yao, X., & Jiang, L. (2015) · Chemical Reviews · doi:10.1021/cr400083y · Cited by 1,646
Barati Darband, G., Aliofkhazraei, M., Khorsand, S., Sokhanvar, S., & Kaboli, A. (2020) · Arabian Journal of Chemistry · doi:10.1016/j.arabjc.2018.01.013 · Cited by 482
Metadata
- Authors
- Truesdell, R., Mammoli, A., Vorobieff, P., van Swol, F., & Brinker, C. J.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2006-07-26
- Volume
- 97
- Issue
- 4
- Pages
- 044504-044504
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W1997842388
- Cited by
- 360
- References
- 0
- FWCI
- 6.24
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Drag Reduction on a Patterned Superhydrophobic Surface. https://app.cochat.ai/papers/10.1103/physrevlett.97.044504
- The paper
- Truesdell, R., Mammoli, A., Vorobieff, P., van Swol, F., & Brinker, C. J. (2006). Drag Reduction on a Patterned Superhydrophobic Surface. Physical Review Letters. https://doi.org/10.1103/physrevlett.97.044504
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.