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EFFECTS OF PARTICLE SHAPE ON NANOFLUIDS LAMINAR FORCED CONVECTION IN HELICALLY COILED TUBES

机译:颗粒形状对螺旋管中纳米流体层流强迫对流的影响

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In this study, effects of particle morphology (shape and size) on nanofluids laminar forced convection in helically coiled tubes are investigated numerically using Eulerian-Lagrangian two-phase approach. The laminar forced convective heat transfer and pressure drop of Al_2O_3-water nanofluids containing nanoparticles with various particle shapes (sphere, platelet, blade, cylinder and brick) and sizes at different volume fractions in the developing and fully developed regions are investigated using the validated two-phase model. It is found that the nanofluids containing platelet particle shape has the highest heat transfer enhancement, which is followed by nanofluids containing cylinder, blade, sphere and brick nanoparticle shapes, respectively. Non-spherical nanoparticles with larger aspect ratio, small particle size and a suitable particle volume concentration are beneficial for heat transfer enhancement of forced convection. Heat transfer efficiency reaches minima at Re of 1250 for laminar forced convection with 1% volume fraction. The correlations of Nusselt number and pressure drop with nanoparticle shape and size were developed to predict convective heat transfer of nanofluids containing spherical nanoparticles and non-spherical nanoparticles.
机译:在这项研究中,使用欧拉-拉格朗日两相方法,数值研究了颗粒形态(形状和大小)对螺旋盘管中纳米流体层流强迫对流的影响。使用已验证的两种方法研究了在发展中和充分开发区域中含有不同颗粒形状(球形,片状,叶片,圆柱体和砖形)以及大小和体积分数不同的纳米粒子的Al_2O_3-水纳米流体的层流强迫对流换热和压降。相模型。已发现,包含血小板颗粒形状的纳米流体具有最高的传热增强,其次是分别具有圆柱体,叶片,球形和砖块纳米颗粒形状的纳米流体。具有较大的长宽比,较小的粒径和合适的颗粒体积浓度的非球形纳米颗粒有利于强制对流的热传递增强。对于层流强制对流(体积分数为1%),传热效率在Re为1250时达到最小值。建立了Nusselt数和压降与纳米颗粒形状和大小的相关性,以预测包含球形纳米颗粒和非球形纳米颗粒的纳米流体的对流传热。

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