Entropy Optimization of Stagnant Blood Flow Systems with Tetra-Hybrid Nano additives under Viscous Dissipation, Joule Heating and Thermal Radiation Effects

Case Studies in Thermal Engineering, Год журнала: 2025, Номер unknown, С. 105692 - 105692

Опубликована: Янв. 1, 2025

Язык: Английский

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Thermal augmentation in Darcy Forchheimer media flow using Extended Tiwari-Das model: Solar radiation aspects

Journal of Radiation Research and Applied Sciences, Год журнала: 2025, Номер 18(1), С. 101298 - 101298

Опубликована: Янв. 14, 2025

Язык: Английский

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Novel investigation of burger fluid with gyrotactic microorganisms over a sheet using levenberg marquardt back propagations (LMBP)

Alexandria Engineering Journal, Год журнала: 2025, Номер 117, С. 403 - 417

Опубликована: Янв. 18, 2025

Язык: Английский

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Numerical Simulation of MHD Sakiadis Flows of Convectively Heating Thixotropic Nanofluids in a Porous Medium Using Revised Transport Laws and Wakif-Buongiorno's Model

Partial Differential Equations in Applied Mathematics, Год журнала: 2025, Номер unknown, С. 101071 - 101071

Опубликована: Янв. 1, 2025

Язык: Английский

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Dynamics of chemical reactive on magneto Hybrid Nanomaterial with heat radiation due to porous exponential plate: Laplace transform technique for the heat and mass

Journal of Radiation Research and Applied Sciences, Год журнала: 2025, Номер 18(1), С. 101295 - 101295

Опубликована: Янв. 15, 2025

Язык: Английский

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Diffusion-thermo, Thermo-diffusion, hall and ion slip effects on MHD flow through porous medium in a rotating channel

Chemical Physics, Год журнала: 2025, Номер unknown, С. 112623 - 112623

Опубликована: Янв. 1, 2025

Язык: Английский

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Al2O3-Cu\Ethylene Glycol-Based Magnetohydrodynamic Non-Newtonian Maxwell Hybrid Nanofluid Flow with Suction Effects in a Porous Space: Energy Saving by Solar Radiation

Symmetry, Год журнала: 2023, Номер 15(9), С. 1794 - 1794

Опубликована: Сен. 20, 2023

Nanotechnology is well-known for its versatile and general thermal transport disciplines, which are used in semiconductors, spacecraft, bioengineering, functional electronics, biosensors. As a result, process optimization has attracted the interest of scientists technologists. The main aim current analysis to explore enhancement energy/heat transfer via dispersion cylindrical-shaped nanoparticles alumina copper ethylene glycol as base fluid using non-Newtonian Maxwell model. In study, effects solar radiation, plate suction, magnetohydrodynamics on hybrid nanofluid encountered. flow induced by linearly stretching sheet angled at ξ=π/6, embedded porous space. proposed problem converted into mathematical structure terms partial differential equations then reduced ordinary appropriate similarity variables. solution, all curves velocity field temperature distribution remain similar, means that symmetry between graphs remains same. Therefore, there strong correlation variables symmetry. obtained model, equations, solved built-in numerical solver bvp4c. It concluded more can make it heat up faster, they typically better conducting than itself. This transferred quickly, raising fluid. However, also slow speed control boundary layer thickness. enhanced increasing radiation parameter, magnetic medium parameter an angle serves purpose including Lorentz force. decreased values buoyancy suction ξ=π/6. study be improvement efficiency nanotechnological devices renewable energy sources save sector. present results compared with published ones, excellent agreement them, endorses validity accuracy study.

Язык: Английский

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Darcy Forchhemier Prandtl-Eyring nanofluid flow with variable heat transfer and entropy generation using Cattaneo-Christov heat flux model: Statistical approach

Case Studies in Thermal Engineering, Год журнала: 2023, Номер 49, С. 103376 - 103376

Опубликована: Авг. 7, 2023

In the current investigation, we studied Prandtl-Eyring nanofluid with base fluid engine oil is flowing through a heated stretching surface entropy production of and variable transfer analysis. Titanium dioxide (TiO2) nanoparticles (NPs) are mixes to produce nanofluid. By exposing flow over heated, slippery surface, able analyze thermal transmission mechanism. The effects Darcy-Forchhemier, heat absorption/generation, Cattaneo-Cristov flux model radiative also taken into account in this study. Highly nonlinear partial differential equations that describe nanofluids converted set ordinary via similarity transformation. numerical technique named "shooting technique" applied obtain solution resulting system ODEs. Error estimation, regression, correlation statistical analysis techniques used. Statistical approach on model. order evaluate constancy association features, probable error determined. Tables figures used present results. It has been noted including decreases skin friction while accelerating energy. Deceleration caused by velocity field being greatly impacted elements porosity, Darcy effect, volume fraction. Additionally, as Brinkman number rises, generation rises Bejan falls.

Язык: Английский

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Recent developments in the application of ferrofluids with an emphasis on thermal performance and energy harvesting

Journal of Magnetism and Magnetic Materials, Год журнала: 2023, Номер 587, С. 171311 - 171311

Опубликована: Окт. 5, 2023

Язык: Английский

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Numerical and intelligent neuro-computational modelling with Fourier’s energy and Fick’s mass flux theory of 3D fluid flow through a stretchable surface

Engineering Applications of Computational Fluid Mechanics, Год журнала: 2023, Номер 17(1)

Опубликована: Окт. 31, 2023

Current work explores the intricacies of magnetohydrodynamic and mix convectional boundary-layer flow concerning couple stress Casson nanofluid (CSCNF) dynamics via a 3D stretchable surface. The addition active passive control mechanisms for nanoscales creates an innovative dimension to exploration. Remarkably, analysis incorporates influence non-Fourier non-Fickian heat mass flux, alongside effects thermophoresis Brownian diffusion, systematically investigate transportation phenomena. governing equations (PDEs) describing MHD-3DCSCNF model are converted into set ordinary differential facilitate ANN analysis. Employing bvp4c technique, dataset is generated back propagation artificial neural network with Levenberg–Marquardt Algorithm (BANN-LMA) through four distinct scenarios. Via accurate testing, validation, training, BANN-LMA produces estimated results problem. performance validation executed several metrics, involving mean squared error, error histogram regression training process, characterized by minimizing MSE gradient descent methodology optimized weights, exhibits compelling correlation R = 1, between target output. Furthermore, consistent convergence observed highlights method robustness reliability.

Язык: Английский

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