Investigation of MHD effect on nanofluid heat transfer in microchannels

In this study, entropy generation analysis and forced convection heat transfer of Al2O3/water in the rectangular microchannel equipped with three injections were examined. The upper wall of the microchannel has a constant temperature while the lower wall is insulated. To improve heat transfer, the injection is performed through variable height ribs. The main objective is to investigate the effect of the height of injectable ribs on heat transfer, pressure drop, and entropy generation. Input variables include rib's height, Reynolds, and nanofluid volume fraction, while output variables are heat transfer, pressure drop, and entropy generation. The results showed that the higher the ribs height, the more heat transfer. The presence of injectable ribs results in a 46.4% enhancement in heat transfer, which, in turn, intensifies the pressure drop and the entropy generation by 234% and 45.3%, respectively. The effects of all input parameters on total entropy generation were also investigated. Finally, analysis of variance (ANOVA) methodology was used to examine the regression model reasonableness between the independent variables and the output variables. Using regression technique, three correlations were acquired for estimating average Nusselt, pressure drop, and entropy generation.

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Efficacy of injectable rib height on the heat transfer and entropy generation in the microchannel by affecting slip flow

Bahrami

Abbasian‐Naghneh

Karimipour

et al. 2020

Math Methods in App Sciences

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Improving energy storage and performance through implementing artificial neural network modeling to forecast heat transfer and entropy generation within a wavy‐wall microchannel under discontinuous‐boundary condition–hybrid nanofluid utilization

Abu-Hamdeh

2021

Math Methods in App Sciences

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Numerous industries deal with heat transfer looking for a new technique to boost efficiency. Using nonuniform condition and making a wavy wall and microchannel are the conventional techniques to increase heat transfer which consequently lead to intensification in energy storage potential. In the present study, forced convection heat transfer of nanofluid through the slippage microchannel is investigated by utilizing numerical methods. Moreover, the results of the artificial neural network in determining the parameters involved in the first and second laws of thermodynamics are discussed; so it is necessary to determine the optimal number of neurons in the middle layer. In addition, the current study aims to examine the effects of Reynolds number, slip wall, and locations of thermal boundary condition on heat transfer and irreversibility. However, thermal entropy generation becomes 1.52 times worse. It is also revealed that the slippage wall can enhance the heat transfer up to 15.6%. The best thing about slippage microchannel is creating slip wall raises the thermal entropy generation and declines the viscous entropy generation.

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Heat transfer enhancement of a microchannel heat sink with the combination of impinging jets, dimples, and side outlets

Gan

Ming

Fang

et al. 2019

J Therm Anal Calorim

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Investigation of MHD effect on nanofluid heat transfer in microchannels

Cited by 30 publications

References 44 publications

Efficacy of injectable rib height on the heat transfer and entropy generation in the microchannel by affecting slip flow

Efficacy of injectable rib height on the heat transfer and entropy generation in the microchannel by affecting slip flow

Improving energy storage and performance through implementing artificial neural network modeling to forecast heat transfer and entropy generation within a wavy‐wall microchannel under discontinuous‐boundary condition–hybrid nanofluid utilization

Heat transfer enhancement of a microchannel heat sink with the combination of impinging jets, dimples, and side outlets

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