Battiato Ilenia
Mechanical Engineering Department, Clemson University, 29634, Clemson, SC, USA,
Eur Phys J E Soft Matter. 2014 Mar;37(3):19. doi: 10.1140/epje/i2014-14019-0. Epub 2014 Mar 28.
Many studies in the last decade have revealed that patterns at the microscale can reduce skin drag. Yet, the mechanisms and parameters that control drag reduction, e.g. Reynolds number and pattern geometry, are still unclear. We propose an effective medium representation of the micro-features, that treats the latter as a porous medium, and provides a framework to model turbulent flow over patterned surfaces. Our key result is a closed-form expression for the skin friction coefficient in terms of frictional Reynolds (or Kármán) number in turbulent regime, the viscosity ratio between the fluid in and above the features, and their geometrical properties. We apply the proposed model to turbulent flows over superhydrophobic ridged surfaces. The model predictions agree with laboratory experiments for Reynolds numbers ranging from 3000 to 10000.
过去十年中的许多研究表明,微观尺度的图案可以降低皮肤摩擦阻力。然而,控制减阻的机制和参数,例如雷诺数和图案几何形状,仍然不清楚。我们提出了一种微观特征的有效介质表示方法,将其视为多孔介质,并提供了一个框架来模拟有图案表面上的湍流。我们的关键结果是一个关于湍流状态下摩擦雷诺(或卡门)数、特征内部和上方流体的粘度比及其几何特性的皮肤摩擦系数的闭式表达式。我们将所提出的模型应用于超疏水脊状表面上的湍流。该模型预测与雷诺数范围从3000到10000的实验室实验结果相符。