Comprehensive heat transfer performance analysis of liquid metal based nanofluid laminar flow in circular tube
Comprehensive heat transfer performance analysis of liquid metal based nanofluid laminar flow in circular tube
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DOI：
10.1016/j.ijmecsci.2020.105530
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发表时间：
2020-06
影响因子：
7.3
通讯作者：
Xiaoming Zhou;Y. Jiang;Yang Wang;Yanni Jiang;Hulin Huang
中科院分区：
文献类型：
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作者：
Xiaoming Zhou;Y. Jiang;Yang Wang;Yanni Jiang;Hulin Huang
基于液态金属的纳米流体预计将成为最终的冷却剂，然而，迄今为止仍然缺乏对该流体流的全面传热分析。本文对恒定壁面热通量下圆管内液态金属纳米流体层流的传热、熵产生和性能评估进行了综合分析，其中采用两相混合模型模拟纳米流体流动，并考虑了三种类型的纳米粒子（即氧化铝（Al2O3）、金刚石（Diam）、碳纳米管（CNT））。计算结果表明，随着纳米颗粒体积分数的增加，Ga-Diam和Ga-CNT的平均传热系数增大，而Ga-Al2O3的平均传热系数减小。 Ga-Diam和Ga-CNT相应的总熵产减少，Ga-Al2O3相应的总熵产增加。特别是，当Re=1000和αp=0.06时，纳米流体Ga-CNT、Ga-Diam和Ga-Al2O3的平均努塞尔数相对于纯液态金属Ga分别增加了17.3%、16.1%和-2.1%。一般来说，含有高浓度碳纳米管纳米粒子的液态金属基纳米流体是强化传热的较好选择，但从能量利用效率的角度来看，低浓度纳米粒子更适合。
Liquid metal based nanofluid is expected to be the ultimate coolant, however, till date a comprehensive heat transfer analysis of this fluid flow is still lacking. The paper presents the comprehensive analysis of heat transfer, entropy generation and performance evaluation of liquid metal nanofluid laminar flow in a circular tube subject to constant wall heat flux, in which the two-phase mixture model is adopted to simulate the nanofluid flow, and three types of nanoparticles (namely Alumina (Al2O3), Diamond (Diam), Carbon nanotubes (CNT)) is considered. The computational results show that, as nanoparticles volume fraction increases, the average heat transfer coefficient of Ga-Diam and Ga-CNT increases, but that of Ga-Al2O3decreases. The corresponding total entropy generation of Ga-Diam and Ga-CNT decreases, and that of Ga-Al2O3increases. Particularly, as Re = 1000 and αp=0.06 the average Nusselt number of nanofluids Ga-CNT, Ga-Diam and Ga-Al2O3relative to that of pure liquid metal Ga are increased by 17.3%, 16.1% and −2.1%, respectively. In general, the liquid metal based nanofluid with high concentration carbon nanotubes nanoparticles is a better choice for heat transfer enhancement, however, from the view point of energy utilization efficiency low concentration nanoparticles is more suitable.