磁性纳米流体在直线通道内增强传热

M. R. Abdulwahab, N. A. C. Sidik, S. N. A. Yusof, M. Jamil
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引用次数: 1

摘要

以磁性纳米流体(悬浮在水中的Fe3O4)为基液,在几何壁面周围施加恒定热流通量的情况下,对水力直径为0.01 m的方形、圆形和三角形直道内的流体流动和强化换热进行了数值研究,以确定在不受磁场影响的情况下,纳米颗粒体积分数和流速对纳米流体对流换热和摩擦系数的影响。纳米流体由平均直径为36 nm的Fe3O4磁性纳米颗粒悬浮在体积分数为0.2、0.4和0.6%的水中组成。研究在稳态、雷诺数为5000≤Re≤20000的湍流强制对流、三维流动和单相方法下进行。用有限体积法求解控制方程,给出了一定的边界条件和假设。采用CFD软件GAMBIT和FLUENT进行数值研究。结果表明,随着雷诺数的增加,各种形状的换热率均有所增加,但圆形管的换热率较好。而在使用纯水作为冷却剂的情况下,相对于所有几何形状内部的流动,传热速率低于使用纳米流体的情况。此外,随着雷诺数的增加,摩擦系数在所有情况下都减小,且方形风管的摩擦系数较大。提出了基于对三种几何形状有效的无量纲数预测努塞尔数和摩擦因数的新关联。纳米流体中的纳米颗粒体积浓度从0到0.6%,数量范围从22000个。来估计努塞尔数和摩擦系数。结果表明,传热效率提高了30.93%。
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Magnetic Nanofluids for Heat Transfer Enhancement Inside Straight Channels
A numerical study for investigating the fluid flow and heat transfer enhancement inside square, circular and triangular straight channels with hydraulic diameter of 0.01 m using magnetic nanofluid (Fe3O4 suspended in water) as a base fluid under constant heat flux subjected around the geometries walls has been presented to determine the effects of nanoparticle volume fraction and flow rate on the convective heat transfer and friction factor of nanofluid without the influence of magnetic field. The nanofluid consists of Fe3O4 magnetic nanoparticles with average diameter of 36 nm suspended in water with a different volume fraction which were 0.2, 0.4, and 0.6%. The study was conducted at steady state, turbulent forced convection with Reynolds number (5000 ≤ Re ≤ 20000), three-dimensional flow, and single-phase approach. Certain boundary conditions and assumptions to solve the governing equations have been implemented using finite volume method. CFD software involving GAMBIT and FLUENT were employed to perform the investigation numerically. The results revealed that as Reynolds number increased, the heat transfer rate was also increased for all the geometries but it is better in circular tube case. While in the case of using pure water as a coolant, the heat transfer rate is lower than that the case of using nanofluid with respect to the flow inside all the geometries. In addition, as Reynolds number increase, friction factor decreases for all cases and it is large in case of square duct. New correlations were proposed to predict Nusselt number and friction factor based on the dimension less numbers which are valid for the three geometries. a of a length of the of the with The nanofluid nanoparticles in with nanoparticle volume concentrations from 0 to 0.6% and range of number from to 22000. to estimate Nusselt number and friction factor. The raveled that the heat transfer is enhanced by 30.93%.
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