首页> 外文期刊>Numerical Heat Transfer, Part A. Application: An International Journal of Computation and Methodology >Numerical predictions of heat transfer and flow structure in a square cross-section channel with various non-spherical indentation dimples
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Numerical predictions of heat transfer and flow structure in a square cross-section channel with various non-spherical indentation dimples

机译:具有各种非球形压痕的方形截面通道内传热和流动结构的数值预测

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摘要

The present study employs arrays of different shapes of surface dimples to determine the most optimal configurations for augmenting surface heat transfer rates, as pressure drop penalties are minimized. Six different dimple shapes are investigated (spherical indentation (case A), super-ellipse (case D), two ellipse-spherical arrangements with the long axis oriented both parallel and normal to the bulk flow direction (cases B1 and B2, respectively), and two egg-spherical arrangements with the half ellipse with longer axis pointed both away and towards the bulk flow direction (cases C1 and C2, respectively). The dimples in these arrays are aligned with each other, as they are located on one surface of a square cross-section channel in six different streamwise rows. All turbulent fluid flow and surface heat transfer results are obtained using computation fluid dynamics with a k-ε RNG turbulence model, and constant heat flux thermal boundary conditions applied to all channel surfaces. Flow development is provided, both before and after the middle channel section, which contains each dimple array. Numerically predicted results are qualified using grid-independent predictions of experimental data for one baseline dimple array arrangement. The channel inlet Reynolds number ranges from 8,000 to 24,000. The dimple shapes with the best overall performance (depending upon the Reynolds number and performance criteria considered) are the spherical indentation arrangement (case A), and the ellipse-spherical arrangement with the long axis oriented normal to the bulk flow direction (case B2). Overall, the most optimal heat transfer augmentations seem to occur when the largest indented cross-section area is oriented perpendicular to the streamwise direction, since larger areas are then available for shear layer re-attachment over downstream portions of the associated dimples. Also important for such augmentations are dimple surface geometry transitions and surface curvature diameters, as illustrated by thermal performance which decreases as surface shapes have more numerous or more significant discontinuities, or when local surface curvature diameters are too small. Overall, the present results also show that such configuration sensitivities appear to increase with Reynolds number.
机译:本研究采用了不同形状的表面凹痕阵列来确定增加表面传热速率的最佳配置,因为压降损失最小。研究了六种不同的酒窝形状(球形凹痕(情况A),超椭圆形(情况D),两个椭圆球面布置,长轴方向平行于且垂直于总体流动方向(分别为情况B1和B2),和两个椭圆形的蛋球形排列,长轴分别指向和指向总体流动方向(分别为情况C1和C2)。这些阵列中的凹坑位于它们的一个表面上,彼此对齐在六个不同的流向行中的方形横截面通道中,使用k-εRNG湍流模型计算流体动力学并将恒定的热通量热边界条件应用于所有通道表面,从而获得所有湍流流体流动和表面传热结果。在包含每个凹坑阵列的中间通道部分之前和之后进行了开发,使用实验的网格独立预测对数字预测结果进行了限定l一个基线酒窝阵列排列的数据。通道入口雷诺数范围为8,000至24,000。具有最佳整体性能的凹坑形状(取决于雷诺数和所考虑的性能标准)是球形压痕排列(情况A)和长轴垂直于总体流动方向的椭圆球形排列(情况B2) 。总的来说,当最大的凹入横截面区域垂直于流向定向时,似乎出现了最佳的传热效果,因为随后较大的区域可用于剪切层在相关凹痕的下游部分上的重新附着。对于这种增大,凹坑表面的几何形状过渡和表面曲率直径也很重要,如热性能所示,随着表面形状具有更多或更大的不连续性或局部表面曲率直径太小,热性能会降低。总的来说,目前的结果还表明,这种构型敏感性似乎随雷诺数的增加而增加。

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