Numerical Simulation of Graphene-Nanoplatelet Nanofluid Convection in Millimeter-Sized Automotive Radiator

Q2 Mathematics CFD Letters Pub Date : 2024-01-23 DOI:10.37934/cfdl.16.6.3252
Leslie Kok Lik Toh, Tiew Wei Ting
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Abstract

The depletion of fossil fuels and environmental considerations in transportation sector motivate the researchers to enhance the efficiency and performance of the automotive systems. However, the poor thermal performance of conventional coolant poses a limitation in the development of energy-efficient vehicle due to the cooling constraint. In the present study, a comprehensive numerical study is conducted to scrutinize the convective performance of graphene nanoplatelets (GnP) nanofluid in millimeter-sized automotive radiator, aiming to enhance the understandings on the underlying physical significance of the suspension of graphene-based nanoparticle in water for the performance enhancement of automotive radiator. The temperature-dependent thermophysical properties of GnP-water nanofluid is predicted via existing correlations, while a modified viscosity correlation is developed. ANSYS Fluent is employed in the present numerical simulation to investigate the effects of various pertinent parameters such as Reynolds number, nanoparticles aspect ratio, tube aspect ratio and tube hydraulic diameter on the heat transfer performance of the radiator. Double precision and second-order upwind scheme with inclusion of viscous heating, and convergent criteria of 10˗6 are adopted for the present simulation. It is observed that the convective performance of the radiator is significantly enhanced by increasing Reynolds number and nanoparticle volume fraction while decreasing the aspect ratios of nanoparticle and radiator tube, with an enhancement rate as much as 1816%. Therefore, it is evident that the suspension of GnP intensifies the heat transfer performance of millimeter-sized automotive radiator, which could possibly lead to a more efficient radiator that is smaller and lighter.
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毫米级汽车散热器中石墨烯-纳米板纳米流体对流的数值模拟
化石燃料的枯竭和交通领域的环保考虑促使研究人员提高汽车系统的效率和性能。然而,由于冷却方面的限制,传统冷却剂的热性能较差,限制了高能效汽车的发展。本研究对石墨烯纳米颗粒(GnP)纳米流体在毫米级汽车散热器中的对流性能进行了全面的数值研究,旨在加深对悬浮在水中的石墨烯基纳米颗粒对提高汽车散热器性能的潜在物理意义的理解。通过现有相关性预测了 GnP-水纳米流体随温度变化的热物理性质,同时开发了一种改进的粘度相关性。本数值模拟采用 ANSYS Fluent 来研究雷诺数、纳米颗粒长宽比、管子长宽比和管子液压直径等各种相关参数对散热器传热性能的影响。本次模拟采用了包含粘性加热的双精度和二阶上风方案,收敛标准为 10˗6。结果表明,通过增加雷诺数和纳米粒子体积分数,同时降低纳米粒子和散热器管的长宽比,散热器的对流性能显著增强,增强率高达 1816%。因此,GnP 的悬浮显然增强了毫米级汽车散热器的传热性能,从而有可能使散热器的体积更小、重量更轻,效率更高。
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来源期刊
CFD Letters
CFD Letters Chemical Engineering-Fluid Flow and Transfer Processes
CiteScore
3.40
自引率
0.00%
发文量
76
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