Numerical Prediction of Turbulent Drag Reduction with Different Solid Fractions and Distribution Shapes over Superhydrophobic Surfaces

Numerical Prediction of Turbulent Drag Reduction with Different Solid Fractions and Distribution Shapes over Superhydrophobic Surfaces

The exploration of superhydrophobic drag reduction has been and continues to be of significant interest to various industries. In the present work, direct numerical simulation (DNS) is utilized to investigate the effect of the parameters on the drag-reducing performance of superhydrophobic surfaces...

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Bibliographic Details
Main Authors: Hoai Thanh Nguyen, Kyoungsik Chang, Sang-Wook Lee, Jaiyoung Ryu, Minjae Kim
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Energies
Subjects:
DNS
superhydrophobic surface
drag reduction
turbulent flow
Online Access:https://www.mdpi.com/1996-1073/15/18/6645

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