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水基和碳氢化合物纳米流体热导率的比较分子动力学模拟

Comparative molecular dynamics simulations of thermal conductivities of aqueous and hydrocarbon nanofluids.

作者信息

Loya Adil, Najib Antash, Aziz Fahad, Khan Asif, Ren Guogang, Luo Kun

机构信息

National University of Sciences and Technology, Department of Mechanical Engineering, H-12, Islamabad, Pakistan.

Karachi Institute of Economics and Technology, Department of Mechatronics Engineering, Karachi, Pakistan.

出版信息

Beilstein J Nanotechnol. 2022 Jul 7;13:620-628. doi: 10.3762/bjnano.13.54. eCollection 2022.

DOI:10.3762/bjnano.13.54
PMID:35874439
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9273982/
Abstract

The addition of metal oxide nanoparticles to fluids has been used as a means of enhancing the thermal conductive properties of base fluids. This method formulates a heterogeneous fluid conferred by nanoparticles and can be used for high-end fluid heat-transfer applications, such as phase-change materials and fluids for internal combustion engines. These nanoparticles can enhance the properties of both polar and nonpolar fluids. In the current paper, dispersions of nanoparticles were carried out in hydrocarbon and aqueous-based fluids using molecular dynamic simulations (MDS). The MDS results have been validated using the autocorrelation function and previous experimental data. Highly concurrent trends were achieved for the obtained results. According to the obtained results of MDS, adding CuO nanoparticles increased the thermal conductivity of water by 25% (from 0.6 to 0.75 W·m·K). However, by adding these nanoparticles to hydrocarbon-based fluids (i.e., alkane) the thermal conductivity was increased three times (from 0.1 to 0.4 W·m·K). This approach to determine the thermal conductivity of metal oxide nanoparticles in aqueous and nonaqueous fluids using visual molecular dynamics and interactive autocorrelations demonstrate a great tool to quantify thermophysical properties of nanofluids using a simulation environment. Moreover, this comparison introduces data on aqueous and nonaqueous suspensions in one study.

摘要

向流体中添加金属氧化物纳米颗粒已被用作增强基础流体热传导性能的一种手段。这种方法制备出了由纳米颗粒赋予特性的非均匀流体,可用于高端流体传热应用,如相变材料和内燃机用流体。这些纳米颗粒能增强极性和非极性流体的性能。在当前论文中,使用分子动力学模拟(MDS)在基于烃类和水的流体中进行了纳米颗粒的分散实验。MDS结果已通过自相关函数和先前的实验数据进行了验证。所获结果呈现出高度一致的趋势。根据MDS的实验结果,添加氧化铜纳米颗粒使水的热导率提高了25%(从0.6提升至0.75W·m·K)。然而,将这些纳米颗粒添加到基于烃类的流体(即烷烃)中时,热导率提高了三倍(从0.1提升至0.4W·m·K)。这种利用可视化分子动力学和交互式自相关来测定金属氧化物纳米颗粒在水性和非水性流体中热导率的方法,展示了一种在模拟环境中量化纳米流体热物理性质的强大工具。此外,这一比较在一项研究中引入了关于水性和非水性悬浮液的数据。

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本文引用的文献

1
Numerical modeling on hybrid nanofluid (Fe3O4+MWCNT/H2O) migration considering MHD effect over a porous cylinder.考虑磁流体力学效应的多孔圆柱上混合纳米流体(Fe3O4+MWCNT/H2O)迁移的数值模拟
PLoS One. 2021 Jul 1;16(7):e0251744. doi: 10.1371/journal.pone.0251744. eCollection 2021.
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A New Thermal Conductivity Model and Two-Phase Mixed Convection of CuO-Water Nanofluids in a Novel I-Shaped Porous Cavity Heated by Oriented Triangular Hot Block.一种新型热导率模型及氧化铜-水纳米流体在由定向三角形热块加热的新型I形多孔腔内的两相混合对流
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Comparative analysis of magnetized partially ionized copper, copper oxide-water and kerosene oil nanofluid flow with Cattaneo-Christov heat flux.基于卡塔尼奥-克里斯托夫热流的磁化部分电离铜、氧化铜-水和煤油纳米流体流动的对比分析
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Intriguingly high thermal conductivity increment for CuO nanowires contained nanofluids with low viscosity.有趣的是,含有纳米流体的氧化铜纳米线具有高导热率增量且粘度低。
Sci Rep. 2018 Mar 27;8(1):5282. doi: 10.1038/s41598-018-23174-z.
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Heat transfer from nanoparticles: a corresponding state analysis.纳米颗粒的热传递:对应态分析
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