Numerical prediction of turbulent drag reduction with different solid fractions and distribution shapes over superhydrophobic surfaces

HIGHLIGHTS

  • who: Hoai Thanh Nguyen and colleagues from the School of, of Ulsan, Ulsan , have published the research work: Numerical Prediction of Turbulent Drag Reduction with Different Solid Fractions and Distribution Shapes over Superhydrophobic Surfaces, in the Journal: Energies 2022, 6645 of /2022/
  • what: The study demonstrates that the drag reduction could acquire 42% with the fraction value u03c6s = 16 and an aligned shape for post surface geometry. In the present work, the solid fraction, u03c6s, which is calculated by the ratio of the area of the SHS wall on the interface normalized by the projected . . .

     

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