Entropy generation on Darcy–Forchheimer flow of Copper-Aluminium oxide/Water hybrid nanofluid over a rotating disk: Semi-analytical and numerical approaches

Ramasekhar, Gunisetty; Reddy, P. Bala Anki

doi:10.24200/sci.2023.60134.6617

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Magnetic endoscopy, magnetic cell separators, magnetic radiation therapy for tumors, and magnetic medication targeting are among further uses. In light of the aforementioned uses of the MHD, a significant number of researchers have investigated the MHD in the context of a variety of issues pertaining to fluid mechanics [17][18][19].…”

Section: Eejp 1 (2024)mentioning

confidence: 99%

Importance of Reflected Solar Energy Loaded with SWCNTs-MWCNTs/EG Darcy Porous Stretched Surface: Midrich Scheme

Gunisetty,

Suneetha,

Ravikumar

et al. 2024

East Eur. J. Phys.

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Saving energy, shortening processing times, maximizing thermal efficiency, and lengthening the life of industrial equipment are all possible outcomes of heating and cooling optimization. In recent years, there has been a rise in interest regarding the development of high-efficiency thermal systems for the purpose of enhancing heat and mass movement. This study presents an investigation on the non-linear flow of a hybrid nanofluid comprising of Multi Walled Carbon Nanotubes (MWCNTs) and Single Walled Carbon Nanotubes (SWCNTs) over an extended surface, considering the effects of Magnetohydrodynamics (MHD) and porosity, with engine oil serving as the base fluid. Also, radiation and Darcy-Forchheimer flow is considered. The problem of regulating flow is transformed into ordinary differential equations (ODEs) by employing similarity variables. The Midrich Scheme is then used to implement a numerical solution to these equations in the program Maple. Through visual representations of fluid velocities and temperatures, the inquiry addresses several important factors, including magnetic parameters, porosity parameters, radiation parameters, Eckert numbers, inertia coefficients, and Biot numbers. The research has important implications in a number of real-world contexts. Due to its exceptional characteristics, such as reduced erosion, reduced compression drops difficulties, and greatly increased heat transfer rates, hybrid nanofluids are frequently used in heat exchangers. For instance, various cooling devices such as electromagnetic cooling systems, as well as heat exchangers including condensers, boilers, chillers, air conditioners, evaporators, coil preheaters, and radiators. Furthermore, it has the potential to be employed in pharmaceutical businesses and the field of biomedical nanoscience.

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Section: Eejp 1 (2024)mentioning

confidence: 99%

Importance of Reflected Solar Energy Loaded with SWCNTs-MWCNTs/EG Darcy Porous Stretched Surface: Midrich Scheme

Gunisetty,

Suneetha,

Ravikumar

et al. 2024

East Eur. J. Phys.

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“…A porous medium increases the area of contact between a fluid and a strong surface, increasing the scattering of nanoparticles and leading to an enhanced in the achievement proportion. Consequently, the importance of commonplace heat works has enlarged Shaw et al, Ramasekhar and Bala Anki Reddy 20 , 21 . Al-Farhany and Abdulsahib 22 conducted a numerical analysis in porous media to examine heat transfer of mixed convective phase, which is divided into two layers in a square enclosure with in a spinning circular cylinder at the center of the cavity.…”

Section: Introductionmentioning

confidence: 99%

Heat transfer innovation of engine oil conveying SWCNTs-MWCNTs-TiO2 nanoparticles embedded in a porous stretching cylinder

Ramasekhar,

Divya,

Jakeer

et al. 2024

Sci Rep

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The influence of boundary layer flow of heat transfer analysis on hybrid nanofluid across an extended cylinder is the main focus of the current research. In addition, the impressions of magnetohydrodynamic, porous medium and thermal radiation are part of this investigation. Arrogate similarity variables are employed to transform the governing modelled partial differential equations into a couple of highly nonlinear ordinary differential equations. A numerical approach based on the BVP Midrich scheme in MAPLE solver is employed for solution of the set of resulting ordinary differential equations and obtained results are compared with existing literature. The effect of active important physical parameters like Magnetic Field, Porosity parameter, Eckert number, Prandtl number and thermal radiation parameters on dimensionless velocity and energy fields are employed via graphs and tables. The velocity profile decreased by about 65% when the magnetic field parameter values increases from 0.5 to 1.5. On the other hand increased by 70% on energy profile. The energy profile enhanced by about 62% when the Radiation parameter values increases from 1.0 < Rd < 3.0. The current model may be applicable in real life practical implications of employing Engine oil-SWCNTs-MWCNTs-TiO2 nanofluids on cylinders encompass enhanced heat transfer efficiency, and extended component lifespan, energy savings, and environmental benefits. This kind of theoretical analysis may be used in daily life applications, such as engineering and automobile industries.

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Machine learning approach of Casson hybrid nanofluid flow over a heated stretching surface

Ramasekhar,

Alkarni,

Shah

2024

MATH

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<abstract> The present investigation focused on the influence of magnetohydrodynamic Gold-Fe3O4 hybrid nanofluid flow over a stretching surface in the presence of a porous medium and linear thermal radiation. This article demonstrates a novel method for implementing an intelligent computational solution by using a multilayer perception (MLP) feed-forward back-propagation artificial neural network (ANN) controlled by the Levenberg-Marquard algorithm. We trained, tested, and validated the ANN model using the obtained data. In this model, we used blood as the base fluid along with Gold-Fe3O4 nanoparticles. By using the suitable self-similarity variables, the partial differential equations (PDEs) are transformed into ordinary differential equations (ODEs). After that, the dimensionless equations were solved by using the MATLAB solver in the Fehlberg method, such as those involving velocity, energy, skin friction coefficient, heat transfer rates and other variables. The goals of the ANN model included data selection, network construction, network training, and performance assessment using the mean square error indicator. The influence of key factors on fluid transport properties is presented via tables and graphs. The velocity profile decreased for higher values of the magnetic field parameter and we noticed an increasing tendency in the temperature profile. This type of theoretical investigation is a necessary aspect of the biomedical field and many engineering sectors. </abstract>

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Entropy generation on Darcy–Forchheimer flow of Copper-Aluminium oxide/Water hybrid nanofluid over a rotating disk: Semi-analytical and numerical approaches

Cited by 3 publications

References 11 publications

Importance of Reflected Solar Energy Loaded with SWCNTs-MWCNTs/EG Darcy Porous Stretched Surface: Midrich Scheme

Importance of Reflected Solar Energy Loaded with SWCNTs-MWCNTs/EG Darcy Porous Stretched Surface: Midrich Scheme

Heat transfer innovation of engine oil conveying SWCNTs-MWCNTs-TiO2 nanoparticles embedded in a porous stretching cylinder

Machine learning approach of Casson hybrid nanofluid flow over a heated stretching surface

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