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首页> 外文期刊>Powder Technology: An International Journal on the Science and Technology of Wet and Dry Particulate Systems >Stability, thermophysical and electrical properties of synthesized carbon nanofiber and reduced-graphene oxide-based nanofluids and their hybrid along with fuzzy modeling approach
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Stability, thermophysical and electrical properties of synthesized carbon nanofiber and reduced-graphene oxide-based nanofluids and their hybrid along with fuzzy modeling approach

机译:合成碳纳米纤维和石墨烯基纳米流体及其杂交的稳定性,热物理和电性能以及模糊建模方法

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In this study, Carbon nanofiber (CNF), Functionalized Carbon nanofiber (F-CNF), Reduced graphene oxide (rGO), and rGo coated over F-CNF (F-CNF/rGO) were produced using Hummers modified method and chemical reduction methods as well as a hydrothermal technique. All of which were characterized by SEM, TEM, X-ray Photoelectron Spectrometer, and X-ray diffraction. Stability, density, viscosity, thermal and electrical conductivities of the prepared nanofluids (0.04 vol%) were experimentally obtained. Significant enhancements in thermal and electrical conductivity were obtained. F-CNF/rGO (hybrid) nanofluid showed enhanced thermal conductivity and lower electrical conductivity compared to the other prepared nanofluids. Results showed that the hydrothermal F-CNF/rGO (hybrid) nanofluid could result in better heat transfer compared to conventional heat transfer fluids. Moreover, based on the experimental dataset, an accurate model that simulates the thermophysical properties of nanofluids is created by fuzzy logic. A well-fitting is obtained between the experimental results and the fuzzy model. The suggested numbers for fuzzy models rules were 11, 16, 16 and 16 for density, viscosity, thermal conductivity, electrical conductivity models, respectively. Every fuzzy model has been trained for 50 epochs. The MSE of the fuzzy models' outputs are 1.4379e-07, 0.00011349, 1.0709e-05 and 1.9827e-06 density, viscosity, thermal conductivity and electrical conductivity. (C) 2020 Elsevier B.V. All rights reserved.
机译:在该研究中,使用悍马改性方法和化学还原方法生产碳纳米纤维(CNF),官能化碳纳米纤维(F-CNF),还原氧化物(RGO)和涂覆F-CNF(F-CNF / RGO)的RGO以及水热技术。所有这些都以SEM,TEM,X射线光电子和X射线衍射为特征。实验获得制备的纳米流体的稳定性,密度,粘度,热和电导率(0.04体积%)。获得了热和导电性的显着增强。与其他制备的纳米流体相比,F-CNF / RGO(杂交)纳米流体显示出增强的导热率和较低的导电性。结果表明,与常规的传热流体相比,水热源F-CNF / RGO(杂种)纳米流体可能导致更好的传热。此外,基于实验数据集,通过模糊逻辑模拟纳米流体热物理性能的准确模型。在实验结果和模糊模型之间获得良好的拟合。模糊模型规则的建议数字为密度,粘度,导热性,导电率模型分别为11,16,16和16。每个模糊模型都受过50个时期的培训。模糊模型输出的MSE为1.4379E-07,0.00011349,1.0709E-05和1.9827E-06密度,粘度,导热性和导电性。 (c)2020 Elsevier B.V.保留所有权利。

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