The Numerical Study of Heat Transfer Enhancement Using Al2o3-Water Nanofluid in Corrugated Duct Application

Tokgöz, Nehir

doi:10.18186/journal-of-thermal-engineering.409655

Cited by 22 publications

(10 citation statements)

References 36 publications

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“…Where each of these nanoparticles has different thermal conductivity and contributes to improving heat transfer [10][11][12]. But this improvement also depends on several parameters as (volume fraction, Thermal conductivity of nanoparticles and base fluid, size of nanoparticles, shape of the nanoparticles, acidity, temperature, aspect ratio, additives, effect of clustering) [13][14][15][16][17][18][19][20][21][22]. As shown in Figures 1 and 2.…”

Section: Introductionmentioning

confidence: 99%

Review Enhancement of Thermal Conductivity and Heat Transfer Using Carbon Nanotube for Nanofluids and Ionanofluids

Туголуков

Ali

2021

Journal of Thermal Engineering

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This paper attempts to present a clearer picture, a detailed and up to date review of the heat transfer enhancement and thermal conductivity improvement for conventional fluids by adding carbon nanotubes or hybrid carbon nanotubes in the base fluid to obtain nanofluids or ionanofluid. Carbon nanotubes have attracted the interest of different researchers because of their high thermal conductivity that exceeds other equivalent types of nanoparticles. In view of this, the effect of different key factors like concentration, temperature and shape type of nanoparticles on the thermal conductivity improvement in nanofluids were reviewed. Moreover, the effect of surfactant stabilizers on the carbon nanotubes nanofluids distribution was evaluated. The results that have been obtained from the valuable studies have been analyzed and some gaps have been found that need to be re-reviewed by the researchers.

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Section: Introductionmentioning

confidence: 99%

Review Enhancement of Thermal Conductivity and Heat Transfer Using Carbon Nanotube for Nanofluids and Ionanofluids

Туголуков

Ali

2021

Journal of Thermal Engineering

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“…Tokgoz and friends used the fluid dynamics (CFD) package program to calculate the flow values of nanofluids in the system. They performed their work in the reynolds range of 10,000 ≤ Re ≤ 20,000 They calculated the thermal and hydraulic properties of the nanofluid flowing through a straight channel in order to verify their numerical estimates (Tokgoz et al,2018). Koca and Zedeli have been experimentally considered to increase the heat transfer by vertical positioning of the helical inner tube heat exchanger with different helical numbers and they have investigated to improve the heat transfer by increasing the number of helical copper pipes used in the heat exchanger ( Koca and Zedeli,2020).…”

Section: Introductionmentioning

confidence: 99%

Effects of Different Turbulators on Heat Transfer in Smoke Tube Boilers and Modeling of These Effects with Machine Learning Algorithms

Çitlak

Demirpolat

2021

Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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In smoke pipe boilers, the thermal efficiency of the boiler depends on the smoke pipe diameter, smoke pipe length and the heat transfer between the smoke pipe and the outlet chimney. If the heat in the smoke pipes is effectively transported through the pipes, the heat distribution on the surfaces is balanced and the thermal efficiency of the boiler increases. In this study, the improvement of heat transfer in a solid fuel boiler with 125,000 kcal / h heat capacity with a diameter of 42 mm, chimney diameter of 230 mm and water inlet and outlet diameters of 65 mm was investigated by using 4 different types of strip turbulators. Experiments were carried out with turbulators placed in all the smoke pipes in the boiler. Firstly, experiments were carried out without placing a turbulator inside. In the second step, by placing turbulators in the smoke pipes, experiments were made for each type and heat transfer was calculated. In the experiments, the flow rate of the fan was changed with the help of damper and the reynolds number was calculated between 18000 and 28000. Turbulator experiments for heat transfer improvement have increased by at least %15 and at most %41 compared to turbulator free experiments. For the heat transfer increase values obtained because of calculations, predictive models were obtained using machine learning algorithms SVM (support vector machine) and decision tree (M5P model tree). The resulting models have been analyzed for error analysis and have been shown to successfully predict heat transfer increase values.

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“…They also confirmed the circulation of the rotating vortices was reduced with increase in magnetic field effect. The problem of heat transfer enhancement for corrugated channel was numerically studied by Tokgoz et al [7] and they recommended the rate of turbulent intensity along the central axis of the channel and the thermal performance in this duct were increased due to the corrugated surfaces.…”

Section: Introductionmentioning

confidence: 99%

Finite Element Solution of Hydromagnetic Mixed Convection in a Nanofluid Filled Vented Grooved Channel

Ali

Alim

Ahmed

2021

Journal of Thermal Engineering

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The mixed convection flow in a differentially heated grooved channel filled with water based nanofluid under the influence of external magnetic field has been analyzed numerically in this study. Nanofluid's thermal conductivity model has been modified to develop a new physical problem and finite element method has been implemented to solve the dimensionless governing equations. Numerical simulations have been performed for different values of pertinent parameters. Fluid flow and temperature distributions have been exhibited in terms of streamlines and isotherms due to the variation of Richardson number, Hartmann number and concentration of nanoparticles in base fluid water. The results show that flow field and temperature distributions within the channel affected significantly with the effects of Richardson number, Hartmann number and concentration of nanoparticles. In addition, it is found that heat transfer rate increases and decreases respectively with the increase in strength of magnetic field which depends strongly on Richardson number. Moreover, heat transfer rate accelerates effectively for increasing volume fraction, Reynolds number and Richardson number. The present simulation has been validated by comparing the present results with other published works on the basis of special cases.

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The Numerical Study of Heat Transfer Enhancement Using Al2o3-Water Nanofluid in Corrugated Duct Application

Cited by 22 publications

References 36 publications

Review Enhancement of Thermal Conductivity and Heat Transfer Using Carbon Nanotube for Nanofluids and Ionanofluids

Review Enhancement of Thermal Conductivity and Heat Transfer Using Carbon Nanotube for Nanofluids and Ionanofluids

Effects of Different Turbulators on Heat Transfer in Smoke Tube Boilers and Modeling of These Effects with Machine Learning Algorithms

Finite Element Solution of Hydromagnetic Mixed Convection in a Nanofluid Filled Vented Grooved Channel

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