Experimental study of the thermal conductivity features of the water based Fe3O4/CuO nanofluid

Ebrahimi, Samaneh; Saghravani, Seyed Fazlolah

doi:10.1007/s00231-017-2188-z

Cited by 15 publications

(6 citation statements)

References 57 publications

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“…This behaviour is similarly observed on mononanofluids. However, thermal conductivity is more sensitive towards the nanoparticle concentration than the temperature, contrary to the temperature effect on viscosity [34] and [46].…”

Section: Thermophysical Properties Of Hybrid Nanofluidsmentioning

confidence: 98%

A Brief Survey of Preparation and Heat Transfer Enhancement of Hybrid Nanofluids

Hussien¹,

Al‐Kouz²,

Yusop³

et al. 2019

SV-JME

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Section: Thermophysical Properties Of Hybrid Nanofluidsmentioning

confidence: 98%

A Brief Survey of Preparation and Heat Transfer Enhancement of Hybrid Nanofluids

Hussien¹,

Al‐Kouz²,

Yusop³

et al. 2019

SV-JME

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“…First, via using glycerin, the error of the KD2-Pro device was calculated, and the device was calibrated [26,27]. Further, after measuring water's thermal conductivity (as base fluid), the utmost error estimated around 0.476 % at 40 °C compared to the ASHRAE handbook.…”

Section: Device Corroborationmentioning

confidence: 99%

“…Further, after measuring water's thermal conductivity (as base fluid), the utmost error estimated around 0.476 % at 40 °C compared to the ASHRAE handbook. This range was tolerable due to the 7 % to 10 % error that was reported by the manufacturer [28]. Experimental results versus those of the ASHRAE handbook [29] are compared in Fig.…”

Section: Device Corroborationmentioning

confidence: 99%

Thermal Conductivity Enhancement via Synthesis Produces a New Hybrid Mixture Composed of Copper Oxide and Multi-walled Carbon Nanotube Dispersed in Water: Experimental Characterization and Artificial Neural Network Modeling

et al. 2020

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Nanofluid is a solid-fluid mixture. By using one solid nanoparticle or one fluid, mono-nanofluid (MN) forms, and by using two solid nanoparticles (NPs) or two fluids, hybrid-nanofluid (HN) forms. For this study, for MN, copper oxide (CuO) and for HN, two solids, which are CuO and multi-walled carbon nanotube (MWCNT) were dispersed in base fluid which is water. After nanofluid preparation, thermal conductivity was measured, and the achievements were numerically modeled. After that, XRD-EDX were performed for the phase-structural analysis. Then, FESEM was examined for NPs-microstructural study. Thermal conductivity (TC) of MN and HN were investigated at 0.2 % to 1.0 % volume fractions (Vf) in 25 °C to 50 °C temperature (T) ranges. Thermal conductivity enhancements of 19.16 % and 37.05 % were seen at the utmost Vf and T for mono-nanofluid and hybrid-nanofluid, respectively. New correlations have been presented with R 2 = 0.9, and also Artificial Neural Network (ANN) has been done with R 2 = 0.999. For the presented correlation, 0.86 %, and 0.51 % deviations, and for the trained model, 0.41 % and 0.51 % deviations were estimated for mono-nanofluid and hybrid-nanofluid, respectively. As a final result, by adding MWCNT to CuO-H 2 O mixture, thermal conductivity is raised by 17.89 %, and the hybrid-nanofluid has acceptable heat-transfer capability.

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“…The behaviours of hybrid nanofluids then were examined in detail by different researchers such as Esfe et al, [19] Rostamian et al [20] and Ebrahimi and Saghravani. [21] From modelling point of view, Devi and Devi [22] proposed a mathematical model to investigate the effects of Lorentz force over a three-dimensional stretching surface subject to Newtonian heating. Tayebi and Chamkha [23−24] considered natural convection in an annulus between two confocal elliptic cylinders and eccentric horizontal cylinders filled with a Cu-Al 2 O 3 /water hybrid nanofluid.…”

Section: Introductionmentioning

confidence: 99%

Generalized Hybrid Nanofluid Model with the Application of Fully Developed Mixed Convection Flow in a Vertical Microchannel*

Xu¹,

Sun²

2019

Commun. Theor. Phys.

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The fully developed mixed convection hybrid nanofluid flow in a vertical microchannel is examined in detail. The simplified hybrid model that omits the nonlinear terms due to the interaction of different nanoparticle volumetric fractions is derived and compared with the existing one. The generalized model describing hybrid nanofluid suspended with multiple kinds of solid particles is suggested. The argument that the corresponding nanofluid solutions obtained by the homogenous model can be recovered from the results of the regular problems through simple arithmetic operations is checked. Solutions in similarity form for this flow problem are formulated by means of a set of similarity variables. The effects of various parameters on important physical quantities are analyzed and discussed.

show abstract

Experimental study of the thermal conductivity features of the water based Fe3O4/CuO nanofluid

Cited by 15 publications

References 57 publications

A Brief Survey of Preparation and Heat Transfer Enhancement of Hybrid Nanofluids

A Brief Survey of Preparation and Heat Transfer Enhancement of Hybrid Nanofluids

Thermal Conductivity Enhancement via Synthesis Produces a New Hybrid Mixture Composed of Copper Oxide and Multi-walled Carbon Nanotube Dispersed in Water: Experimental Characterization and Artificial Neural Network Modeling

Generalized Hybrid Nanofluid Model with the Application of Fully Developed Mixed Convection Flow in a Vertical Microchannel*

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