Predicting entropy generation of a hybrid nanofluid in microchannel heat sink with porous fins integrated with high concentration photovoltaic module using artificial neural networks

Khosravi, Raouf; Zamaemifard, Marzieh; Safarzadeh, Sajjad; Passandideh-Fard, Mohammad; Teymourtash, Ali Reza; Shahsavar, Amin

doi:10.1016/j.enganabound.2023.02.005

Cited by 21 publications

(3 citation statements)

References 61 publications

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“…It increases the heat transfer surface area and is a filter to catch nanoparticles. Khosravi et al [13] used a hybrid nanofluid to estimate entropy generation in a combined high-concentration solar panel with a microchannel heat sink with porous fins. Rashad et al [14] investigated the effects of the flow of a magnetic Eyring-Powell hybrid nanofluid in a porous media that generates thermal radiation and heat production.…”

Section: Introductionmentioning

confidence: 99%

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Electroosmotic microchannel flow of blood conveying copper and cupric nanoparticles: Ciliary motion experiencing entropy generation using backpropagated networks

Sharma,

Mishra

et al. 2024

Z Angew Math Mech

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A novel mathematical model for a hybrid (Cu–CuO/blood) Jeffrey nanofluid passing a vertical symmetric microchannel along with an electroosmosis pump is presented. The focuses on the advancement of mathematical modeling techniques, its comprehensive analysis of microfluidic system dynamics, and its potential to inform the optimal design of devices using nanofluids with broad applications in various fields. Arrhenius's law is used to analyze endothermic–exothermic reactions and activation energy. The governing partial differential equations of the fixed frame are transformed into ordinary differential equations of the wave frame using self‐similarity transformations. Low Reynolds number and long‐wavelength approximations helped to find solutions of the equations by applying a suitable BVP solver in MATLAB. The fluid's velocity, temperature, concentration, and electroosmosis properties are studied graphically. Two‐dimensional contour plots of fluid velocity and three‐dimensional surface plots of fluid properties are discussed. Physically significant quantities of mass transfer rate, skin friction coefficient, entropy generation, and heat transfer rate are studied using contour plots. Artificial neural network simulation using Bayesian regularization backpropagation algorithms is analyzed for training state, error histogram, fit, performance, and regression plots. Conclusively, the comprehensive analysis of the fluid dynamics, entropy generation, mass and heat transfer, and in the microchannel, coupled with the successful implementation of artificial neural network simulation, contributes to an improved understanding of the system's behavior. Entropy generation was raised for enhanced Brownian motion number and reduced values of thermophoresis, activation energy, and endothermic–exothermic reaction parameters. This study's results can be used to improve the efficiency and effectiveness of microfluidic devices used in fields as diverse as electrical cooling and medicine delivery.

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Section: Introductionmentioning

confidence: 99%

“…Khosravi et al. [13] used a hybrid nanofluid to estimate entropy generation in a combined high‐concentration solar panel with a microchannel heat sink with porous fins. Rashad et al.…”

Section: Introductionmentioning

confidence: 99%

Electroosmotic microchannel flow of blood conveying copper and cupric nanoparticles: Ciliary motion experiencing entropy generation using backpropagated networks

Sharma,

Mishra

et al. 2024

Z Angew Math Mech

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“…Zahoor et al [34] analyzed entropy generation model for flow of MHD nanofluid through a porous medium. Few studies in this field are cited as [35][36][37][38][39][40].…”

Section: Introductionmentioning

confidence: 99%

Generalized thermal properties of hybrid NANOLIQUID composed of aluminum oxide (Al₂O₃) and silver (Ag) nanoparticles with water (H₂O) as base liquid

Parveen,

Awais,

Awan

2023

Z Angew Math Mech

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Heat transfer rate is numerically analyzed in convective flow of Al2O3‐Ag/ H2O hybrid nanoliquid through a stretching sheet by incorporating induced magnetic field. Results of entropy generation in system are evaluated as well. Considered physical factors associated with heat transfer are heat generation parameter and viscous dissipation. The system of nonlinear partial differential equations is modeled and dimensionally simplified by implementing boundary layer approximation assumption and proper similarity transformations. Adam's Bashforth method is applied to get highly accurate and stable numerical solutions. Numerical results of flow variables, entropy generation number and physical quantities are interpreted by way of graphs and bar charts to perceive the extensive significance of the problem. It is visualized that rise in numeric values of mixed convection parameter λ1 leads to enhance velocity; entropy generation number and Nusselt number while suppress temperature. High magnitude of heat generation parameter δ augments velocity and temperature but reverse behavior is observed for Nusselt number and entropy generation number. Moreover, the factor of viscous dissipation significantly modifies rate of flow and heat transfer under the effect of no‐slip condition on sheet. The present study is useful in different fields of industries, technological processes, mechanical processes, and electrical processes due to the applications of magnetic hybrid nanofluid with improved heat and mass transfer.

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A comparative study of fluid flow and heat transfer in the tube with multi-V-winglets vortex generators

Wu,

Fu,

Wang

et al. 2024

Applied Thermal Engineering

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Predicting entropy generation of a hybrid nanofluid in microchannel heat sink with porous fins integrated with high concentration photovoltaic module using artificial neural networks

Cited by 21 publications

References 61 publications

Electroosmotic microchannel flow of blood conveying copper and cupric nanoparticles: Ciliary motion experiencing entropy generation using backpropagated networks

Electroosmotic microchannel flow of blood conveying copper and cupric nanoparticles: Ciliary motion experiencing entropy generation using backpropagated networks

Generalized thermal properties of hybrid NANOLIQUID composed of aluminum oxide (Al₂O₃) and silver (Ag) nanoparticles with water (H₂O) as base liquid

A comparative study of fluid flow and heat transfer in the tube with multi-V-winglets vortex generators

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Predicting entropy generation of a hybrid nanofluid in microchannel heat sink with porous fins integrated with high concentration photovoltaic module using artificial neural networks

Cited by 21 publications

References 61 publications

Electroosmotic microchannel flow of blood conveying copper and cupric nanoparticles: Ciliary motion experiencing entropy generation using backpropagated networks

Electroosmotic microchannel flow of blood conveying copper and cupric nanoparticles: Ciliary motion experiencing entropy generation using backpropagated networks

Generalized thermal properties of hybrid NANOLIQUID composed of aluminum oxide (Al2O3) and silver (Ag) nanoparticles with water (H2O) as base liquid

A comparative study of fluid flow and heat transfer in the tube with multi-V-winglets vortex generators

Contact Info

Product

Resources

About

Generalized thermal properties of hybrid NANOLIQUID composed of aluminum oxide (Al₂O₃) and silver (Ag) nanoparticles with water (H₂O) as base liquid