Thermal conductivity of aqueous Al2O3/Ag hybrid nanofluid at different temperatures and volume concentrations: An experimental investigation and development of new correlation function

Aparna, Z.; Michael, Monisha; Pabi, S.K.; Ghosh, Sudipto

doi:10.1016/j.powtec.2018.11.096

Cited by 108 publications

(28 citation statements)

References 37 publications

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“…Thermal conductivity (TC) of the fluids plays a crucial role in their heat transfer ability; in this regard, it is desirable to utilize fluids with higher thermal conductivity. The dispersion of hybrid solids in nanometer dimensions can notably improve the TC owing to the Brownian motion, intermolecular interaction of the nanostructures, higher TC of solids compared with the liquids and clustering of the nanostructures [24][25][26][27][28]. The enhancement rate of hybrid nanofluid TC depends on some factors, such as the temperature and volume fraction (VF) [29][30][31][32][33][34].…”

Section: Thermal Conductivitymentioning

confidence: 99%

Thermophysical Properties of Hybrid Nanofluids and the Proposed Models: An Updated Comprehensive Study

et al. 2021

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Thermal performance of energy conversion systems is one of the most important goals to improve the system’s efficiency. Such thermal performance is strongly dependent on the thermophysical features of the applied fluids used in energy conversion systems. Thermal conductivity, specific heat in addition to dynamic viscosity are the properties that dramatically affect heat transfer characteristics. These features of hybrid nanofluids, as promising heat transfer fluids, are influenced by different constituents, including volume fraction, size of solid parts and temperature. In this article, the mentioned features of the nanofluids with hybrid nanostructures and the proposed models for these properties are reviewed. It is concluded that the increase in the volume fraction of solids causes improvement in thermal conductivity and dynamic viscosity, while the trend of variations in the specific heat depends on the base fluid. In addition, the increase in temperature increases the thermal conductivity while it decreases the dynamic viscosity. Moreover, as stated by the reviewed works, different approaches have applicability for modeling these properties with high accuracy, while intelligent algorithms, including artificial neural networks, are able to reach a higher precision compared with the correlations. In addition to the used method, some other factors, such as the model architecture, influence the reliability and exactness of the proposed models.

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Section: Thermal Conductivitymentioning

confidence: 99%

Thermophysical Properties of Hybrid Nanofluids and the Proposed Models: An Updated Comprehensive Study

et al. 2021

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“…The maximum enhancement of thermal conductivity was reported to be 14.29% at a temperature of 25 °C. Aparna et al [ 120 ] observed the increment in the thermal conductivity of aqueous Al 2 O 3 -Ag/water hybrid nanofluids with the temperature. The effect of temperature on the thermal conductivity was observed to be insignificant at lower particle loading; however, it was amplified at higher particle loading.…”

Section: Thermo-physical Properties Of Nanofluidsmentioning

confidence: 99%

Recent Progress on Stability and Thermo-Physical Properties of Mono and Hybrid towards Green Nanofluids

Zainon

Azmi

2021

Micromachines

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Many studies have shown the remarkable enhancement of thermo-physical properties with the addition of a small quantity of nanoparticles into conventional fluids. However, the long-term stability of the nanofluids, which plays a significant role in enhancing these properties, is hard to achieve, thus limiting the performance of the heat transfer fluids in practical applications. The present paper attempts to highlight various approaches used by researchers in improving and evaluating the stability of thermal fluids and thoroughly explores various factors that contribute to the enhancement of the thermo-physical properties of mono, hybrid, and green nanofluids. There are various methods to maintain the stability of nanofluids, but this paper particularly focuses on the sonication process, pH modification, and the use of surfactant. In addition, the common techniques to evaluate the stability of nanofluids are undertaken by using visual observation, TEM, FESEM, XRD, zeta potential analysis, and UV-Vis spectroscopy. Prior investigations revealed that the type of nanoparticle, particle volume concentration, size and shape of particles, temperature, and base fluids highly influence the thermo-physical properties of nanofluids. In conclusion, this paper summarized the findings and strategies to enhance the stability and factors affecting the thermal conductivity and dynamic viscosity of mono and hybrid of nanofluids towards green nanofluids.

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“…We have utilized the fractional Caputo time derivative to develop a mathematical model [51]. Assuming all the above conditions, the principal boundary layer equations of momentum and energy for the fractional hybrid nanofluid are as follows [25,[52][53][54]:…”

Section: Description Of the Mathematical Problemmentioning

confidence: 99%

Computational Analysis of Heat Transfer Intensification of Fractional Viscoelastic Hybrid Nanofluids

Khan

Rasheed

2021

Mathematical Problems in Engineering

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In the current article, we have performed computational analysis on convection heat transfer of a hybrid nanofluid in occurrences where porous media and the effect of magnetic force are involved. In order to assess the time-fractional derivatives, Caputo’s notion is utilized while the Darcy–Forchheimer model is applied due to the involvement of the porous medium. Moreover, the boundary conditions are assumed to be nonuniform through the equilibrium between the surface tension and shear stress over a semi-infinite permeable flat surface. Keeping in view the complexity of the fractional derivative model and nonuniform boundary conditions, the problem in question is a complicated one. Accordingly, the coupled momentum and energy equation is linearized and the finite difference scheme is then applied and implemented in MATLAB Code R2020b. Furthermore, we have also offered a comprehensive analysis regarding error and convergence of the proposed numerical method. The newly introduced numerical technique to determine the numerical solutions and some unique and interesting deductions are established. From the computational results, one can conclude that the fluid motion in both hybrid and single nanofluids slows down due to magnetic field, porosity, and inertia coefficient as the magnetic and electric fields are synchronized due to the formation of the Lorentz force and viscous interference. We believe that our proposed numerical technique regarding employment of the fractional model for heat transfer application to the hybrid nanofluid over a semi-infinite nonuniform permeable surface along with variable heat flux is not found in the literature so far. Furthermore, the obtained results will be a valuable addition to fractional calculus from an engineering point of view.

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Thermal conductivity of aqueous Al2O3/Ag hybrid nanofluid at different temperatures and volume concentrations: An experimental investigation and development of new correlation function

Cited by 108 publications

References 37 publications

Thermophysical Properties of Hybrid Nanofluids and the Proposed Models: An Updated Comprehensive Study

Thermophysical Properties of Hybrid Nanofluids and the Proposed Models: An Updated Comprehensive Study

Recent Progress on Stability and Thermo-Physical Properties of Mono and Hybrid towards Green Nanofluids

Computational Analysis of Heat Transfer Intensification of Fractional Viscoelastic Hybrid Nanofluids

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