• DocumentCode
    3500697
  • Title

    Turbulent drag reduction on superhydrophobic surfaces confirmed by built-in shear sensing

  • Author

    Hyungmin Park ; Guangyi Sun ; Chang-Jin Kim

  • Author_Institution
    Mech. & Aerosp. Eng. Dept., Univ. of California, Los Angeles, Los Angeles, CA, USA
  • fYear
    2013
  • fDate
    20-24 Jan. 2013
  • Firstpage
    1183
  • Lastpage
    1186
  • Abstract
    A drag reduction by superhydrophobic (SHPo) surfaces is experimentally confirmed for the first time in a turbulent boundary-layer (TBL) flow, which represents the flows around moving vessels. The drag reduction is measured by comparing the displacement of a SHPo surface with that of a smooth hydrophobic surface in a given flow. Since the two surfaces each with an identical set of suspending beams share the same processing conditions during the monolithic microfabrication and the same flow conditions during the TBL flow experiment, the rate of reduction is measured accurately with no bias errors. Furthermore, the air pockets on the SHPo surface are visually confirmed throughout the flow experiments to prevent any rogue surface condition affecting the measurement. The turbulent drag reduction is found to increase with the gas fraction of the SHPo surface, reaching a reduction of skin friction by as high as 70%.
  • Keywords
    boundary layer turbulence; drag reduction; flow measurement; hydrophobicity; microfabrication; microsensors; SHPo surface displacement; TBL flow; built-in shear sensing; flow conditions; monolithic microfabrication; moving vessels; rogue surface condition; skin friction reduction; superhydrophobic surfaces; suspending beams; turbulent boundary-layer flow; turbulent drag reduction; Displacement measurement; Fluid flow measurement; Fluids; Measurement uncertainty; Sensors; Silicon; Surface treatment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Micro Electro Mechanical Systems (MEMS), 2013 IEEE 26th International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1084-6999
  • Print_ISBN
    978-1-4673-5654-1
  • Type

    conf

  • DOI
    10.1109/MEMSYS.2013.6474463
  • Filename
    6474463