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Measurements of skin-friction of systematically generated surface roughness

机译:测量系统生成的表面粗糙度的皮肤摩擦

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The flow conditions at which a given surface will begin to show the effects of roughness in the form of increased wall shear stress above that of the hydraulically-smooth wall and the behavior of frictional drag in the transitionally-rough regime are still poorly understood. From a practical standpoint, the engineering correlations to predict this behavior should be based on information that can be obtained solely from the surface topography, thus excluding any information that requires hydrodynamic testing. The goal of this work is to take a systematic approach when generating surface roughness where the roughness parameters can be controlled. Three surfaces with fixed amplitude and varying power-law spectral slope (E(kappa) similar to kappa(p); P = -0.5, -1.0, -1.5) were generated and replicated using high-resolution 3D printing. Results show that the surface with the shallower spectral slope, P = -0.5, produces the highest drag, whereas the surface with the steeper spectral slope, P = -1.5 produces the least drag. This highlights that some roughness scales do not contribute significantly to the drag. In fact, the effective slopes, ES of the investigated surfaces were less than 0.35, which indicates that the surfaces are in the so-called "wavy" regime (Schultz and Flack, 2009). A high-pass filter of 1 mm (corresponding to similar to 10 times of the roughness height) was applied. By removing the long-wavelength roughness scales, the correlation between the filtered roughness amplitude and the frictional drag showed the correct trend.
机译:给定表面开始以高于水力光滑壁的增加的壁剪应力的形式表现出粗糙度影响的流动条件,以及在过渡粗糙状态下的摩擦阻力行为仍然知之甚少。从实际的角度来看,预测此行为的工程相关性应基于仅可从表面形貌获得的信息,因此不包括任何需要进行流体动力学测试的信息。这项工作的目标是在产生可以控制粗糙度参数的表面粗糙度时采取系统的方法。使用高分辨率3D打印生成并复制了三个具有固定振幅和变化的幂律谱斜率(E(kappa)类似于kappa(p); P = -0.5,-1.0,-1.5)的表面。结果表明,光谱斜率较浅的表面(P = -0.5)产生的阻力最大,而光谱斜率较陡的表面(P = -1.5)产生的阻力最小。这突出表明某些粗糙度比例对阻力没有显着影响。实际上,所研究表面的有效斜率ES小于0.35,这表明这些表面处于所谓的“波浪形”状态(Schultz和Flack,2009)。应用1mm的高通滤波器(相当于粗糙度高度的10倍)。通过去除长波粗糙度标度,滤波后的粗糙度幅值与摩擦阻力之间的相关性显示出正确的趋势。

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