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作 者:Yuling Zhai Long Li Zihao Xuan Mingyan Ma Hua Wang
出 处:《Fluid Dynamics & Materials Processing》2022年第3期629-646,共18页流体力学与材料加工(英文)
基 金:This project is supported by Yulingn Zhai and the National Natural Science Foundation of China(No.51806090);the Basic Research Project of Yunnan Province(No.202001AT070081).
摘 要:The thermo-physical properties of nanofluids are highly dependent on the used base fluid.This study explores the influence of the mixing ratio on the thermal conductivity and viscosity of ZnO-CuO/EG(ethylene glycol)-W(water)hybrid nanofluids with mass concentration and temperatures in the ranges 1-5 wt.%and 25-60C,respectively.The characteristics and stability of these mixtures were estimated by TEM(transmission electron microscopy),visual observation,and absorbance tests.The results show that 120 min of sonication and the addition of PVP(polyvinyl pyrrolidone)surfactant can prevent sedimentation for a period reaching up to 20 days.The increase of EG(ethylene glycol)in the base fluid leads to low thermal conductivity and high viscosity.Thermal conductivity enhancement(TCE)decreases from 21.52%to 11.7%when EG:W is changed from 20:80 to 80:20 at 1 wt.%and 60C.A lower viscosity of the base fluid influences more significantly the TCE of the nanofluid.An Artificial Neural Network(ANN)has also been used to describe the effectiveness of these hybrid nanofluids as heat transfer fluids.The optimal number of layers and neurons in these models have been found to be 1 and 5 for viscosity,and 1 and 7 for thermal conductivity.The corresponding coefficient of determination(R^(2))was 0.9979 and 0.9989,respectively.
关 键 词:Hybrid nanofluids base fluid ratio VISCOSITY thermal conductivity ANN model
分 类 号:TB3[一般工业技术—材料科学与工程]
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