评估纳米流体在湍流自然对流过程中的流动特性

2019/08/14   下载量: 0

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采用LaVision的DaVis 8.2.2 软件平台,可编程时间控制单元PTU, ImagerIntense高灵敏度低噪声相机,构成一套2D粒子成像测速系统。并利用该系统对纳米流体在湍流自然对流过程中的流动特性进行了实验研究和理论分析。

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    High-performance cooling is of vital importance for the cutting-edge technology of today, from nanoelectronic mechanical systems to nuclear reactors. Advances in nanotechnology have allowed the development of a new category of coolants,termed nanofluids that have the potential to enhance the thermal performance of conventional heat transfer fluids. At the
present time, nanofluids are a controversial research theme, since there is yet no conclusive answer to explain the underlying physical mechanisms of heat transfer. The current study investigates experimentally the heat and mass transfer behaviour of dilute Al2O3–H2O nanofluids under turbulent natural convection—Rayleigh number of the order of 109—in a
cubic Rayleigh–Be´nard cell with optical access. Traditional heat transfer measurements were combined with a velocimetry method to obtain a deeper understanding of the impact of nanoparticles on the heat transfer performance of the base fluid. Particle image velocimetry was employed to quantify the resulting mean velocity field and flow structures in dilute
nanofluids under natural convection, at three parallel planes inside the cubic cell. All the results were compared with that for the base fluid, i.e. deionised water. It was observed that the presence of a minute amount of Al2O3 nanoparticles in deionised water, uv = 0.00026 vol.%, considerably modifies the mass transfer behaviour of the fluid in the bulk region of
turbulent Rayleigh–Be´nard convection. Simultaneously, the general heat transport, as expressed by the Nusselt number, remained unaffected within the experimental uncertainty.

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