Investigating the effect of Brownian motion models on heat transfer and entropy generation in nanofluid forced convection

Pourmohamadian, Hossein; Sheikhzadeh, Ghanbar Ali; Aghaei, Alireza; Ehteram, Hamidreza; Adibi, Mohammad

doi:10.2298/tsci160623199p

Cited by 4 publications

(3 citation statements)

References 30 publications

(36 reference statements)

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“…In 1873 a theoretical model was proposed by Maxwell to estimate thermal conductivity. Maxwell model [71] is the preferable model and it is applicable for millimetre to micrometre-sized particle [70]. Maxwell-Garnetts model [71,76] is based on the effective medium theory.…”

Section: Materials Selectionmentioning

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: Materials Selectionmentioning

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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“…Among all generators, combined turbulators are the newest forms of generators. Pourmohamadian et al (2019) considered the influence of Brownian movement models on the flow, the forced convection heat transfer, and entropy generations in a chamber numerically. Re numbers from 10 to 1,000 and the volume fraction of 0.04% were employed for the simulations.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Combined Turbulators on the Hydraulic-Thermal Performance and Exergy Efficiency of MWCNT-Cu/Water Nanofluid in a Parabolic Solar Collector: A Numerical Approach

2021

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The present research benefits from the finite volume method in investigating the influence of combined turbulators on the thermal and hydraulic exergy of a parabolic solar collector with two-phase hybrid MWCNT-Cu/water nanofluid. All parabolic geometries are produced using DesignModeler software. Furthermore, FLUENT software, equipped with a SIMPLER algorithm, is applied for analyzing the performance of thermal and hydraulic, and exergy efficiency. The Eulerian–Eulerian multiphase model and k-ε were opted for simulating the two-phase hybrid MWCNT-Cu/water nanofluid and turbulence model in the collector. The research was analyzed in torsion ratios from 1 to 4, Re numbers from 6,000 to 18,000 (turbulent flow), and the nanofluid volume fraction of 3%. The numerical outcomes confirm that the heat transfer and lowest pressure drop are relevant to the Re number of 18,000, nanofluid volume fraction of 3%, and torsion ratio of 4. Furthermore, in all torsion ratios, rising Re numbers and volume fraction lead to more exergy efficiency. The maximum value of 26.32% in the exergy efficiency was obtained at a volume fraction of 3% and a torsion ratio of 3, as the Re number goes from 60,000 to 18,000.

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“…Kakarantzas et al [12] studied natural convection of a liquid metal in a vertical annulus with lateral and volumetric heating. Pourmohamadian et al [13] studied numerically the influence of Brownian motion models on forced convection heat transfer and entropy generation of a nanofluid in a heat source enclosure. The results show that the average Nusselt number increases for all Reynolds numbers.…”

Section: Introductionmentioning

confidence: 99%

Entropy generation analysis of nanofluid natural convection in coaxial cylinders subjected to magnetic field

Belahmadi

Bessaïh

2019

THERM SCI

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This paper concerns with the effect of a magnetic field on the entropy generation due to natural convection of Al2O3-water nanofluid flow between coaxial cylinders of aspect ratio H/D = 2. The inner and outer cylinders are maintained at hot and cold temperatures, respectively. The top and bottom walls are thermally insulated. The finite volume method was used to discretize the mathematical equations. The present results are compared with those found in the literature, which reveal a very good agreement. The influence of dimensionless parameters such as Hartmann number, Rayleigh number, solid volume fraction of nanoparticules, ?, and inclination angle of magnetic field on streamlines, isotherms contours, local entropy generation, mean Nusselt number, total entropy generation, St, and Bejan number is discussed. The results show that the local entropy generation are strongly influenced by the application of magnetic field. The increase in heat transfer and entropy generation by adding the nanoparticles to the base fluid depends on the magnetic field strength and direction.

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Investigating the effect of Brownian motion models on heat transfer and entropy generation in nanofluid forced convection

Cited by 4 publications

References 30 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

The Influence of Combined Turbulators on the Hydraulic-Thermal Performance and Exergy Efficiency of MWCNT-Cu/Water Nanofluid in a Parabolic Solar Collector: A Numerical Approach

Entropy generation analysis of nanofluid natural convection in coaxial cylinders subjected to magnetic field

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