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A combined numerical and experimental study on the forced convection of Al_2O_3-water nanofluid in a circular tube

机译:Al_2O_3-水纳米流体在圆管中强迫对流的组合数值和实验研究

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HighlightsForced convection of nanofluid flowing through a circular tube is investigated.The cooling performance is examined in details.Heat transfer is significantly influenced by adding nano particles in coolant.AbstractThis research investigates the contribution of Al2O3nanoparticle suspensions on laminar forced convection heat transportation of Al2O3-water nanofluid flowing through a circular tube. In this regard, initially, the variation of the wall and bulk fluid temperatures and the values of local Nusselt numbers are experimentally evaluated along the tube. Next, numerically, the effect of various inlet temperatures from 25 to 50 °C on the important characteristics of the problem under study including pressure drop, Nusselt number and entropy generation are further examined through the constant property and temperature-dependent property modeling. The flow rate of the working fluid was ranged from 24 to 180 cm3/min correspondingRe = 120–2000. The imposed heat flux was 5.51 × 102–1.23 × 104W/m2. It is found that the addition of nanoparticles leads to the reduction of wall temperature and the enhancement of the Nusselt number, while it also causes an increase in the pressure drop along the tube. The results further reveal that the variable-property simulation provides more accurate predictions. The predicted pressure drop is decreased, and the predicted Nusselt number is increased by considering the temperature dependency of thermophysical properties of the nanofluid.
机译: 突出显示 研究了流经圆管的纳米流体的强制对流。 < ce:list-item id =“ o0010”> 详细检查冷却性能。 热冷却剂中添加纳米颗粒会显着影响转移。 摘要 此研究调查了Al 2 O 3 纳米颗粒悬浮液对Al 2 O <的层流强迫对流传热ce:inf loc =“ post”> 3 -流过圆管的水纳米流体。在这方面,首先,沿着管子通过实验评估壁和本体流体温度的变化以及局部Nusselt值。接下来,在数值上,通过恒定特性和温度相关特性模型,进一步研究了25至50°C的各种入口温度对所研究问题的重要特征(包括压降,努塞尔数和熵产生)的影响。工作流体的流量范围为24至180 cm 3 / min相应的 Re = 120–2000 。施加的热通量为5.51×10 2 –1.23×10 4 W / m < ce:sup loc =“ post”> 2 。发现添加纳米颗粒导致壁温度的降低和努塞尔数的增加,同时还引起沿管的压降的增加。结果进一步表明,可变属性仿真提供了更准确的预测。考虑纳米流体的热物理性质对温度的依赖性,可以降低预计的压降,并提高预计的Nusselt值。

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