Thermal conductivity of nanofluids based on hollow γ-Al2O3 nanoparticles, and the influence of interfacial thermal resistance

Serebryakova, M.A.; Зайковский, А. В.; Sakhapov, S. Z.; Смовж, Д. В.; Sukhinin, G. I.; Новопашин, С. А.

doi:10.1016/j.ijheatmasstransfer.2016.12.098

Cited by 31 publications

(22 citation statements)

References 58 publications

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“…It has been reported that the effect of the interfacial layer in the prediction of thermal conductivity can be neglected. Serebryakova et al [46] studied influence of interfacial layer on the thermal conductivity.…”

Section: Factors Affecting Heat Transfer Rate Of Nanofluidmentioning

confidence: 99%

Comparison of mathematical models to estimate the thermal conductivity of TiO2-water based nanofluid: A review

Dandoutiya

Kumar

2022

THERM SCI

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Heat transfer is a desirable phenomenon in many industries such as in refrigeration, transportation, power generation, cell preservation, incubator, metallurgy and material processing, health services, etc. Different types of fluids like water, oil, ethylene glycol etc are being used as a heat transfer medium. Water is a commonly used as working fluid for transfer of heat. Nanofluids are developed by adding nano sized particle(s) in existing fluid to improve the heat transfer rate. Thermal conductivity of the nanofluid is an important parameter in estimation of heat transfer rate. Different types of mathematical models were developed by various investigators to predict the thermal conductivity of the nanofluids. In this review paper,the theoretical and mathematical model(s) have been compared to predict the thermal conductivity of nanofluids. The experimental data have been collected from literature and compared with Maxwell model, Hamilton and crosser(H-C) model, Maxwell-Garnetts(MG) model, Pak cho model, Timofeeva et al. model, Li and Peterson model, Bhattacharya et al. model respectively in detail. It has been observed that the prediction wih the help of the mathematical models is good when the value of volume fraction was less than 0.01.

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Section: Factors Affecting Heat Transfer Rate Of Nanofluidmentioning

confidence: 99%

Comparison of mathematical models to estimate the thermal conductivity of TiO2-water based nanofluid: A review

Dandoutiya

Kumar

2022

THERM SCI

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“…The matching equations for the phonon-distribution functions (2) and the Boltzmann equations for phonons on both sides of the interface (3), together with the EnskogÀChapman conditions (5) and the expression for heat flux (6), make up the www.advancedsciencenews.com www.pss-b.com complete system of equations for the phonon distribution functions on both sides of the interface. It is easy to verify the result of calculation of the Kapitza resistance for an imaginary boundary-some plane in a homogeneous crystal, with the system of Equation (2,3,5,6) is exactly zero (unlike the AMM calculations).…”

Section: System Of Equationsmentioning

confidence: 99%

“…[1] The inverse value called Kapitza conductance is also widely used. Investigation of the Kapitza resistance effect has attracted a lot of attention in recent years as it is essential for the optimization of heat management of many applied systems including nanostructured materials for heat sinks, [2,3] nanofluids, [4,5] thermoelectric generators, [6,7] and nanoelectronics. [8,9] Two most important models for the analytical description of heat transport through an interface are acoustic mismatch model (AMM) and diffuse mismatch model (DMM).…”

Section: Introductionmentioning

confidence: 99%

Calculation of Kapitza Resistance with Kinetic Equation

Meilakhs

Semak

2021

Physica Status Solidi (b)

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A new method for the calculation of interfacial thermal resistance in the case of heat transport through the interface by phonons is introduced herein. The novelty of the suggested approach consists of the consideration of all the consequences of a nonequilibrium character of phonon‐distribution functions during heat transfer. The well‐described diffuse mismatch model is used to introduce a model set of transmission and reflection amplitudes of phonons at the interface. An exact analytical solution for the proposed model is derived. Finally, the problem is solved for a set of transmission and reflection amplitudes characterized by a free parameter.

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“…It was reported that the high TC of nanoparticles, Brownian motion and Kapitza resistance all affect the TC of MSBNFs. 25,49 Khodayari et al 50 and Serebryakova et al 51 pointed out that the estimation of ETC of nanofluids significantly depends on the Kapitza resistance formed by phonon scattering at the interface layer. The Kapitza resistance decreases with the increase of nanoparticle diameter, which has the opposite effect on the ETC.…”

Section: Comparison Of Overall Thermophysical Propertiesmentioning

confidence: 99%

Effects of interface layer on the thermophysical properties of solar salt‐SiO ₂ nanofluids: A molecular dynamics simulation

Rao

Wang

et al. 2021

Int J Energy Res

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The microstructure and behaviors of the interface layer around the nanoparticle are strongly related to the overall thermophysical properties of molten salt-based nanofluids (MSBNFs). Understanding this link may enable the advanced heat transfer fluid (HTF) for concentrated solar power and other applications. In this study, a molecular dynamics (MD) model for solar salt (60 wt% NaNO 3 /40 wt% KNO 3 )-SiO 2 nanofluid system is developed to estimate the characteristics of the interface layer and their effects on the overall specific heat capacity (SHC) and effective thermal conductivity (ETC) of MSBNFs. The results show that the SHC and thermal conductivity (TC) of the interface layer in MSBNFs are, respectively, 1.44-1.85 and 1.05-1.97 times higher than those of pure solar salt. The SHC of the interface layer has a significant effect on the overall SHC of the MSBNFs, but the interface layer is not the dominant influencing factor for the ETC enhancement of MSBNFs and thus has less effect on the overall ETC.

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Thermal conductivity of nanofluids based on hollow γ-Al2O3 nanoparticles, and the influence of interfacial thermal resistance

Cited by 31 publications

References 58 publications

Comparison of mathematical models to estimate the thermal conductivity of TiO2-water based nanofluid: A review

Comparison of mathematical models to estimate the thermal conductivity of TiO2-water based nanofluid: A review

Calculation of Kapitza Resistance with Kinetic Equation

Effects of interface layer on the thermophysical properties of solar salt‐SiO ₂ nanofluids: A molecular dynamics simulation

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Thermal conductivity of nanofluids based on hollow γ-Al2O3 nanoparticles, and the influence of interfacial thermal resistance

Cited by 31 publications

References 58 publications

Comparison of mathematical models to estimate the thermal conductivity of TiO2-water based nanofluid: A review

Comparison of mathematical models to estimate the thermal conductivity of TiO2-water based nanofluid: A review

Calculation of Kapitza Resistance with Kinetic Equation

Effects of interface layer on the thermophysical properties of solar salt‐SiO 2 nanofluids: A molecular dynamics simulation

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Product

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Effects of interface layer on the thermophysical properties of solar salt‐SiO ₂ nanofluids: A molecular dynamics simulation