On the convective thermal performance of a CPU cooler working with liquid gallium and CuO/water nanofluid: A comparative study
On the convective thermal performance of a CPU cooler working with liquid gallium and CuO/water nanofluid: A comparative study
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DOI：
10.1016/j.applthermaleng.2016.10.196
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发表时间：
2017-02
影响因子：
6.4
通讯作者：
M. Sarafraz;A. Arya;F. Hormozi;V. Nikkhah
中科院分区：
文献类型：
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作者：
M. Sarafraz;A. Arya;F. Hormozi;V. Nikkhah
本研究旨在实验研究镓、氧化铜/水纳米流体和水共同作用的冷却液块的热性能。本研究中使用的CPU在待机、正常和过载三种工作模式下进行了评估。结果表明，就对流热性能而言，镓是纳米流体和水中最有效的冷却剂，然而，镓液态金属的应用对压降和泵送功率造成了相当大的损失。相反，CuO/水纳米流体与水相比，表现出更高的热性能，同时具有更低的压降和泵送功率，提供了与镓相权衡的情况。结果还表明，在过载和正常工作模式下，镓对CPU的冷却效率更高。对实验数据进行了相关性检验，并通过回归分析获得了估计努塞尔数的两个新的相关性，与实验数据相比，精度为20%。
This work aims to experimentally investigate the thermal performance of a cooling liquid block working with gallium, CuO/water nanofluid and water. The CPU used in this research is evaluated at three states of standby, normal and overload working modes. Results demonstrated that gallium is the most efficient coolant amongst the nanofluid and water in terms of convective thermal performance, however, the considerable penalty for pressure drop and pumping power is associated with the application of gallium liquid metal. CuO/water nanofluid instead, presented a higher thermal performance in comparison with water, while has lower pressure drop and pumping power, offering a trade-off situation against the gallium. Results also revealed that CPU is cooled more efficiently with gallium at overload and normal working modes. Experimental data were examined for the available correlations and two new correlations for estimating the Nusselt number were obtained via the regression analysis with an accuracy of 20% when compared to the experimental data.