Measurement and modeling of thermal conductivity of graphene nanoplatelet water and ethylene glycol base nanofluids

Gao, Yuguo; Wang, Haochang; Sasmito, Agus P.; Mujumdar, Arun S.

doi:10.1016/j.ijheatmasstransfer.2018.02.089

Cited by 90 publications

(33 citation statements)

References 73 publications

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“…The nanofluids have unique heat transfer characteristics. They have significantly improved thermal conductivity, providing enhanced heat transfer performance with less abrasion or pipe blockage compared to a macro-particle two phase fluids [3][4][5][6][7][8][9]. They also play a very important role in phase change material (PCM), such as enhancing specific heat capacity [10], reducing supercooling degree, and increasing thermal conductivity [11].…”

Section: Introductionmentioning

confidence: 99%

“…However, research is relatively scarce in the preparation, determination of thermal properties, as well as heat transfer and friction factor of hybrid nanofluids [13]. In addition, there were many studies performed to characterize the thermal conductivity of nanofluids [9,14], but fewer on the specific heat capacity of nanofluids. Moreover, most of the existing studies that focus on the specific heat capacity of single-nanoparticle nanofluids [15][16][17][18], even fewer on that of hybrid nanofluids.…”

Section: Introductionmentioning

confidence: 99%

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Experimental investigation of specific heat of aqueous graphene oxide Al2O3 hybrid nanofluid

Gao

Yang

et al. 2021

THERM SCI

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The specific heat of aqueous graphene+Al 2 O 3 (1:1) hybrid nanofluid was measured using the cooling method. The influence of nanoparticle mass fraction and temperature on the specific heat capacity of the hybrid nanofluids was investigated, the specific heat of the hybrid nanofluid was compared with that of aqueous graphene oxide nanofluid and Al 2 O 3 nanofluid. A fitted formula of the specific heat of the hybrid nanofluid was proposed based on the experimental data. It indicates that the specific heat reduction ratio increases with increase of nanoparticle fraction; the maximum reduction ratio is 7% at 0.15wt% at 20 °C. The mass fraction of nanoparticle affects the specific heat of hybrid nanofluid more significantly at lower temperature. Temperature impacts the specific heat more distinctly than the nanoparticle fraction. The specific heat increases with temperature and the maximum specific heat reduction ratio of the hybrid nanofluid diminishes from 7 % at 20 °C to 2% at 70 °C at the mass fraction of 0.05%.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental investigation of specific heat of aqueous graphene oxide Al2O3 hybrid nanofluid

Gao

Yang

et al. 2021

THERM SCI

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“…For example, Heris et al [10] reported the rheological behaviour of ZnO-based nanofluids as lubricants, and also Yiamsawas et al [11] reported the analysis of nanofluids based on Al 2 O 3 and TiO 2 for high temperature applications. Thus, numerous studies in recent decades have analysed the enhancement of the thermal properties of the typical heat transfer fluids used, such as water [12,13], ethylene glycol [12,14] or a mixture of both [15]. For example, Gao et al [12] reported increases in thermal conductivity of up to 4.6%, 18%, and 6.8% using graphene nanoplatelets in ethylene glycol, a 1:1 mixture of deionized water and ethylene glycol and deionized water, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, numerous studies in recent decades have analysed the enhancement of the thermal properties of the typical heat transfer fluids used, such as water [12,13], ethylene glycol [12,14] or a mixture of both [15]. For example, Gao et al [12] reported increases in thermal conductivity of up to 4.6%, 18%, and 6.8% using graphene nanoplatelets in ethylene glycol, a 1:1 mixture of deionized water and ethylene glycol and deionized water, respectively. In addition, metal oxide [6,11,[16][17][18] and metallic nanoparticles [19,20] have been widely analysed for suspension in the base fluid.…”

Section: Introductionmentioning

confidence: 99%

“…At high temperatures, the deviation is higher because the number of interactions increases. For example, the motion of particles in suspension can enhance the heat transport within the base fluid[12,65]. One of the reasons for the increase in heat transport and thermal conductivity postulated is the stochastic motions of the 25 nanomaterial in suspension and the interactions between particles and the fluid molecules; that is, Brownian motion.…”

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confidence: 99%

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Experimental analysis of water-based nanofluids using boron nitride nanotubes with improved thermal properties

Gómez‐Villarejo

Aguilar

Hamze

et al. 2019

Journal of Molecular Liquids

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Nowadays, the use of nanofluids as alternative to commonly-used industrial heat transfer fluids is a topic of increasing interest. Analysing the improved efficiency of heat transfer processes according to advanced nanomaterials and obtaining stable nanofluids is one of the most interesting challenges. This paper presents a study of nanofluids based on boron nitride nanotubes and using an aqueous solution of Triton X-100 (which acts as a surfactant) as the base fluid. UV-vis spectroscopy, particle size measurements (size between 150-170 nm) and  potential (at about -25 mV) showed that stable nanofluids were obtained. Surface tension measurements were also performed. The surface tension of water was weakly affected by the presence of any amount of nanoparticles and was mainly governed by the presence of surfactant. The rheological properties of the fluids were also analysed, as were their isobaric specific heat and thermal conductivity values. A Newtonian behaviour was observed for the base fluid and the nanofluids, with no significant increase in viscosity. The isobaric specific heat increased by 8% and thermal conductivity by 10 % compared with the base fluid.Thus, the results obtained are interesting because while thermal properties improved with nanoparticle content, rheological behaviour did not change. Consequently, the nanofluids studied in the current paper do not raise the pressure drop and pumping power significantly and may therefore be a good option for thermal system applications. HighlightsStable nanofluids based on boron nitride nanotubes were prepared and analysed Isobaric specific heat increased by 8% and thermal conductivity by 10 % Newtonian behaviour was found for nanofluids with no significant increase in viscosity Surface tension was mainly governed by the presence of Triton X-100 as surfactant Rheological behaviour is not changed with nanoparticle content

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Experimental study for thermal conductivity of water‐based zirconium oxide nanofluid: Developing optimal artificial neural network and proposing new correlation

Çolak

2020

Int J Energy Res

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Summary In this study, five different water based ZrO2 nanofluids were prepared at volumetric concentrations of 0.0125%, 0.025%, 0.05%, 0.1%, and 0.2%. In the preparation of nanofluids, two‐step method was preferred, magnetic stirrer and ultrasonic homogenizer were used. Their thermal conductivity was measured experimentally in the temperature range of 10°C to 65°C. Using the obtained experimental data, a multi‐layer perceptron feed‐forward back‐propagation artificial neural network was developed. In addition, a new correlation was proposed for the calculation of the thermal conductivity values of the ZrO2/Water nanofluid. The results showed that the ZrO2/Water nanofluid had higher thermal conductivity compared to the base fluid and the thermal conductivity increases with the increase in temperature and concentration. While the artificial neural network developed with experimental data predicted the thermal conductivity of ZrO2/Water nanofluid with an average error of −0.41%, the new correlation developed predicted it with an average error of −0.02%. These values were an indication that the results obtained from the developed artificial neural network and the correlation are in perfect agreement with the experimental data.

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Measurement and modeling of thermal conductivity of graphene nanoplatelet water and ethylene glycol base nanofluids

Cited by 90 publications

References 73 publications

Experimental investigation of specific heat of aqueous graphene oxide Al2O3 hybrid nanofluid

Experimental investigation of specific heat of aqueous graphene oxide Al2O3 hybrid nanofluid

Experimental analysis of water-based nanofluids using boron nitride nanotubes with improved thermal properties

Experimental study for thermal conductivity of water‐based zirconium oxide nanofluid: Developing optimal artificial neural network and proposing new correlation

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