The thermal conductivity of alumina nanoparticles dispersed in ethylene glycol

Beck, Michael P.; Sun, Tongfan; Teja, Amyn S.

doi:10.1016/j.fluid.2007.07.034

Cited by 131 publications

(53 citation statements)

References 19 publications

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“…Also, as the volume fraction of particles in nanofluids is generally small, it is likely that the thermal conductivity of nanofluids is dominated by the thermal conductivity of the base fluid. To confirm this hypothesis, Beck et al 50 measured the thermal conductivity of ethylene glycol-based alumina nanofluids at temperature ranging from 298 to 411 K and found that the thermal conductivity vs. temperature behavior of the nanofluid follows closely that of the base fluid (ethylene glycol in this case). This behavior is shown in Figure 2 and has also been validated 47 when the base fluid is water or a mixture of water and ethylene glycol.…”

Section: Effect Of Temperaturementioning

confidence: 86%

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Heat transfer in nanoparticle suspensions: Modeling the thermal conductivity of nanofluids

et al. 2010

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This work reviews experimental data and models for the thermal conductivity of nanoparticle suspensions and examines the effect of the properties of the two phases on the effective thermal conductivity of the heterogeneous system. A model is presented for the effective thermal conductivity of nanofluids that takes into account the temperature dependence of the thermal conductivities of the individual phases, as well as the size dependence of the thermal conductivity of the dispersed phase. We demonstrate that this model can be used to calculate the thermal conductivity of nanofluids over a wide range of particle sizes, particle volume fractions, and temperatures. The model can also be used to validate experimental thermal conductivity data for nanofluids containing semiconductor or insulator particles and confirm the size dependence of the thermal conductivity of nanoparticles. V V C 2010 American Institute of Chemical Engineers AIChE J, 56: [3243][3244][3245][3246][3247][3248][3249][3250][3251][3252][3253][3254][3255][3256] 2010

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Section: Effect Of Temperaturementioning

confidence: 86%

“…Data of Beck et al 50 at particle concentrations of 1 % (v/v) (l) and 3% (v/v) (n). The solid line represents literature data for ethylene glycol, whereas dashed lines represent fits of the nanofluid data.…”

Section: Summary Of Findingsmentioning

confidence: 99%

Heat transfer in nanoparticle suspensions: Modeling the thermal conductivity of nanofluids

et al. 2010

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“…Transient hot wire method (THW) was adapted by many researchers to determine the thermal conductivity of the nanofluid suspensions [21,[30][31][32][33][34][35]. The THW method is a simple but effective transient method for measuring thermal conductivity of materials.…”

Section: Thermal Conductivity Measurement Apparatusmentioning

confidence: 99%

Effects of Particle Surface Charge, Species, Concentration, and Dispersion Method on the Thermal Conductivity of Nanofluids

Gowda

Sun

Wang

et al. 2010

Advances in Mechanical Engineering

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The purpose of this experimental study is to evaluate the effects of particle species, surface charge, concentration, preparation technique, and base fluid on thermal transport capability of nanoparticle suspensions (nanofluids). The surface charge was varied by changing the pH value of the fluids. The alumina (Al 2 O 3 ) and copper oxide (CuO) nanoparticles were dispersed in deionized (DI) water and ethylene glycol (EG), respectively. The nanofluids were prepared using both bath-type and probe sonicator under different power inputs. The experimental results were compared with the available experimental data as well as the predicted values obtained from Maxwell effective medium theory. It was found that ethylene glycol is more suitable for nanofluids applications than DI water in terms of thermal conductivity improvement and stability of nanofluids. Surface charge can effectively improve the dispersion of nanoparticles by reducing the (aggregated) particle size in base fluids. A nanofluid with high surface charge (low pH) has a higher thermal conductivity for a similar particle concentration. The sonication also has a significant impact on thermal conductivity enhancement. All these results suggest that the key to the improvement of thermal conductivity of nanofluids is a uniform and stable dispersion of nanoscale particles in a fluid.

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“…Moreover, to predict and explain the TC enhancement in nanofluids, numerous theoretical studies have been focused and debated extensively over the past decade. 3,10,[18][19][20][21][22][23] Several participating factors include Brownian motion of NPs, internanoparticle potential, radiative heat transfer, particle aggregation, and dynamic interactions have been attempted to account the anomalous enhancement in TC of nanofluids combined with the effects of NPs size and shape, volume concentration of NPs, and temperature. In addition to describe the enhancement in TC of EG fluid with volume fraction/particle loadings of NPs, the model of Prasher et al for the TC enhancement ratio of nanofluid is given as follows:…”

Section: 13mentioning

confidence: 99%

Strong enhancement in thermal conductivity of ethylene glycol-based nanofluids by amorphous and crystalline Al2O3 nanoparticles

Gangwar

Srivastava

Tripathi

et al. 2014

Applied Physics Letters

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In the present work, the temperature and concentration dependence of thermal conductivity (TC) enhancement in ethylene glycol (EG)-based amorphous and crystalline Al2O3 nanofluids have been investigated at temperatures ranging from 0 to 100 °C. In our prior study, nanometer-sized particles of amorphous-, γ-, and α-Al2O3 were prepared via a simple sol-gel process with annealing at different temperatures and characterized by various techniques. Building upon the earlier study, we probe here the crystallinity, microstructure, and morphology of the obtained α-Al2O3 nanoparticles (NPs) by using X-ray powder diffraction with Rietveld full-profile refinement, scanning electron microscopy, and high-resolution transmission electron microscopy, respectively. In this study, we achieved a 74% enhancement in TC at higher temperature (100 °C) of base fluid EG by incorporating 1.0 vol. % of amorphous-Al2O3, whereas 52% and 37% enhancement is accomplished by adding γ- and α-Al2O3 NPs, respectively. The amorphous phase of NPs appears to have good TC enhancement in nanofluids as compared to crystalline Al2O3. In a nutshell, these results are demonstrating the potential consequences of Al2O3 NPs for applications of next-generation efficient energy transfer in nanofluids.

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The thermal conductivity of alumina nanoparticles dispersed in ethylene glycol

Cited by 131 publications

References 19 publications

Heat transfer in nanoparticle suspensions: Modeling the thermal conductivity of nanofluids

Heat transfer in nanoparticle suspensions: Modeling the thermal conductivity of nanofluids

Effects of Particle Surface Charge, Species, Concentration, and Dispersion Method on the Thermal Conductivity of Nanofluids

Strong enhancement in thermal conductivity of ethylene glycol-based nanofluids by amorphous and crystalline Al2O3 nanoparticles

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