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首页> 外文期刊>Arabian Journal for Science and Engineering. Section A, Sciences >Novel Correlation to Calculate Thermal Conductivity of Aqueous Hybrid Graphene Oxide/Silicon Dioxide Nanofluid: Synthesis, Characterizations, Preparation, and Artificial Neural Network Modeling
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Novel Correlation to Calculate Thermal Conductivity of Aqueous Hybrid Graphene Oxide/Silicon Dioxide Nanofluid: Synthesis, Characterizations, Preparation, and Artificial Neural Network Modeling

机译：计算含水杂交石墨烯氧化物/二氧化硅水氧化物/二氧化硅的导热系数的新型相关性：合成，表征，制剂和人工神经网络建模

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摘要

Graphene oxide is generally used in hydrogen storage, energy conversion, lens, and flexible rechargeable battery electrode. Silica is one of themost plentiful families ofmaterials, which has potential to be an excellent choice for industrial applications due to its low-cost production, high specific surface area, and also its hydrophilicity. Hybrid nanofluid (HN) is one of nanofluid types in which more than one solid particle dispersed in a fluid. In this paper, after preparation of graphene oxide/silicon dioxide/water hybrid nanofluid, thermal conductivity (TC) was studied and numerically modeled. Then, to study phase and structural analysis, X-ray diffraction analysis and dynamic light scattering analysis were employed. After that, scanning electron microscope was used to study microstructural observation of nanoparticles. TC measurements of HN were taken at volume fractions of 0.05–1.0% and at temperature ranges of 25–50 °C. Thermal conductivity enhancement of 26.93% was measured at 1.0 vol.% fraction in 50 °C temperature. For numerical modeling, new correlation has been offered (R~2 = 0.9), and further, artificial neural network has been modeled (R~2 = 0.999). For offered correlation, 1.48% deviation and for trained model, 1.26% deviation were calculated. Totally, GO–SiO_2–H_2O HN has acceptable heat transfer potential.
机译：石墨烯氧通常用于储氢，能量转换，透镜和柔性可充电电池电极。二氧化硅是物品的终极优化家庭之一，由于其低成本生产，高比表面积以及其亲水性，因此具有工业应用的绝佳选择。杂交纳米流体（HN）是纳米流体类型之一，其中多于一个分散在流体中的固体颗粒。本文在制备石墨烯/二氧化硅/水杂交纳米流体后，研究了导热率（TC）并进行数值模拟。然后，为了研究阶段和结构分析，采用X射线衍射分析和动态光散射分析。之后，扫描电子显微镜用于研究纳米颗粒的微观结构观察。 HN的TC测量在0.05-1.0％的体积分数和25-50℃的温度范围内进行。在1.0体积的1.0体积％中测量26.93％的导热率增强。50℃温度下的％馏分。对于数值建模，提供了新的相关性（R〜2 = 0.9），进一步，人工神经网络已经建模（R〜2 = 0.999）。对于提供的相关性，1.48％的偏差和培训的型号，计算1.26％的偏差。完全，Go-SiO_2-H_2O HN具有可接受的传热潜力。

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