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湍流管流中SiO/水纳米流体的颗粒分布与传热

Particle Distribution and Heat Transfer of SiO/Water Nanofluid in the Turbulent Tube Flow.

作者信息

Shi Ruifang, Lin Jianzhong, Yang Hailin

机构信息

State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China.

Faculty of Mechanical Engineering and Mechanics, Ningbo University, Ningbo 315201, China.

出版信息

Nanomaterials (Basel). 2022 Aug 15;12(16):2803. doi: 10.3390/nano12162803.

Abstract

In order to clarify the effect of particle coagulation on the heat transfer properties, the governing equations of nanofluid together with the equation for nanoparticles in the SiO/water nanofluid flowing through a turbulent tube are solved numerically in the range of Reynolds number 3000 ≤ Re ≤ 16,000 and particle volume fraction 0.005 ≤ ≤ 0.04. Some results are validated by comparing with the experimental results. The effect of particle convection, diffusion, and coagulation on the pressure drop ∆, particle distribution, and heat transfer of nanofluid are analyzed. The main innovation is that it gives the effect of particle coagulation on the pressure drop, particle distribution, and heat transfer. The results showed that ∆ increases with the increase in Re and . When inlet velocity is small, the increase in ∆ caused by adding particles is relatively large, and ∆ increases most obviously compared with the case of pure water when the inlet velocity is 0.589 m/s and is 0.004. Particle number concentration decreases along the flow direction, and near the wall is decreased to the original 2% and decreased by about 90% in the central area. increases with increasing Re but with decreasing , and basically presents a uniform distribution in the core area of the tube. The geometric mean diameter of particle GMD increases with increasing , but with decreasing Re. GMD is the minimum in the inlet area, and gradually increases along the flow direction. The geometric standard deviation of particle diameter GSD increases sharply at the inlet and decreases in the inlet area, remains almost unchanged in the whole tube, and finally decreases rapidly again at the outlet. The effects of Re and on the variation in GSD along the flow direction are insignificant. The values of convective heat transfer coefficient and Nusselt number are larger for nanofluids than that for pure water. and increase with the increase in Re and . Interestingly, the variation in from 0.005 to 0.04 has little effect on and .

摘要

为了阐明颗粒凝聚对传热特性的影响,在雷诺数3000≤Re≤16000以及颗粒体积分数0.005≤≤0.04的范围内,对通过湍流管流动的SiO/水纳米流体中的纳米流体控制方程以及纳米颗粒方程进行了数值求解。通过与实验结果比较验证了一些结果。分析了颗粒对流、扩散和凝聚对纳米流体压降∆、颗粒分布和传热的影响。主要创新点在于给出了颗粒凝聚对压降、颗粒分布和传热的影响。结果表明,∆随Re和的增加而增大。当入口速度较小时,添加颗粒引起的∆增加相对较大,当入口速度为0.589 m/s且为0.004时,与纯水情况相比,∆增加最为明显。颗粒数浓度沿流动方向降低,壁面附近的降低至原来的2%,中心区域降低约90%。随Re增加而增大,但随减小,并且在管的核心区域基本呈均匀分布。颗粒的几何平均直径GMD随增大而增大,但随Re减小。GMD在入口区域最小,并沿流动方向逐渐增大。颗粒直径的几何标准偏差GSD在入口处急剧增大,在入口区域减小,在整个管内几乎保持不变,最后在出口处再次迅速减小。Re和对GSD沿流动方向变化的影响不显著。纳米流体的对流换热系数和努塞尔数的值比纯水的大。和随Re和的增加而增大。有趣的是,从0.005到0.04的变化对和影响很小。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/812e/9414640/b160fc4bed84/nanomaterials-12-02803-g001.jpg

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