An Analytical Inspection on Effect of Chemical Reaction and Radiation on MHD Biviscous Bingham Tetra Nanofluid Flow With Accelerated Plate

Journal of Nanotechnology, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

The nanofluids and their advanced models (ternary tetra nanofluids) possess an outstanding thermal mechanism attract engineers industrialists with prominent features. Tetra have high conductivity; thus, by inserting nanoparticles in the base fluids, effective conductivity of heat transfer fluids is enhanced. A framework has now been illuminated throughout this work to scrutinize behavior chemical reactions radiation on water‐based magnetohydrodynamics (MHD) biviscous Bingham flow nanofluid (Al 2 O 3 –Fe 4 –TiO –Cu/H O) over accelerated plate through a porous medium presence slip conditions, source/sink, viscous dissipation. overall physical problem designed form nonlinear partial differential equation, which then altered into highly ordinary equation via proper dimensionless variable. These equations are solved analytically, along associated boundary conditions. flow, energy, mass problems were examined especially transport phenomena performed for both prescribed surface temperature (PST) flux (PHF) cases, was also evaluated two different namely concentration (PSC) (PMF) then, these solutions demonstrated terms confluent hypergeometric function. There plots showing how variables affected velocity concentration, skin friction, rate transmission. dual solution found velocity, temperature, profiles. finding discloses that performance magnetic parameter, fluid parameters experience slowdown impact corresponding velocities cases stretching boundaries. For magnitude field parameter increases increasing profile second solution, whereas reverse trend observed first solution.

Language: Английский

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MHD ternary (Ag–CuO–SWCNT) blood-based Jeffrey nanofluid flow with surface catalyzed reaction

AIP Advances, Journal Year: 2025, Volume and Issue: 15(4)

Published: April 1, 2025

The present study aims to investigate the effects of MHD non-Newtonian Jeffrey ternary hybrid nanofluid flow over a porous moving wedge with surface-catalyzed homogeneous–heterogeneous chemical reactions. To analyze energy transmission rate, this considers prominent nanoparticles silver (Ag), cupric oxide (CuO) and single-walled carbon nanotube (SWCNT) suspended in blood, which serves as base fluid. In fluid problem, momentum, energy, concentration, mass diffusion are inspected under influence magnetic field, thermal radiation, activation binary reactions, thermophoresis, Brownian motion. is significant due its potential improve heat transfer, catalysis, efficiency, biomedical applications. model mathematically, system partial differential equations (PDEs) formulated subsequently transformed into non-dimensional ordinary using suitable similarity variables. shooting technique implemented MATLAB obtain numerical solutions for dragging force (Cfx), rate (Nux), transport Shx, fluxes ShA ShB. This reveals that an increase medium parameter (Kp) reduces velocity profile, while (λ1) enhances it. volume fraction parameters (φAg, φCuO, φSWCNT), motion (Nb) thermophoresis (Nt) contribute temperature. concludes (Ag + CuO SWCNT/Blood) exhibits superior transfer capabilities it achieves 7.79% higher than (CuO SWCNT/Blood), 10.76% (SWCNT/Blood) 11.31% blood.

Language: Английский

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Dual Thermal Analysis of Fractional Convective Flow Through Aluminum Oxide and Titanium Dioxide Nanoparticles

Acta Mechanica et Automatica, Journal Year: 2025, Volume and Issue: 19(1), P. 32 - 43

Published: March 1, 2025

Abstract Dual assessing for thermal analysis via nanoparticles (aluminium oxide and titanium dioxide) base fluids (water blood) mixed convection flows over an inclined plate is studied. The governing equations have been developed through fractional formats by exploiting modern definitions of CF (based on exponential function having no singularity) AB (having non-singular non-local kernel) derivatives. This important theoretical practical research that models the movement heat in materials various scales heterogeneous media. solution to problem achieved Laplace transform with slip boundary magnetic field. To explain physical perception models, dual solutions velocity field temperature distribution are derived comparing non-singularity non-locality. numerical methods namely Stehfest Tzou’s invoked. embedded thermo-dynamical fluctuating parameters traced out better performance transfer. results as well suggested decaying trends characterization rapid analysis.

Language: Английский

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Impact of gold and silver nanoparticles injected in blood with viscous dissipation

Computer Methods in Biomechanics & Biomedical Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 25

Published: May 1, 2025

A nano-blood model is developed to study the flow of gold- and silver-infused blood through a porous, stenotic artery under Newtonian assumptions. Wall curvature, convective heating, wall motion, viscous dissipation are considered. Darcy's simulates porous resistance, Tiwari-Das captures nanoparticle effects. Governing equations reduced via similarity transformations solved using MATLAB's bvp4c solver. Validation against existing studies provided. Results show gold-blood nanofluid achieves higher velocities than silver-blood. Increasing Biot number enhances cooling at arterial wall. Detailed graphs 3D contour plots illustrate effects on temperature, velocity, skin friction, Nusselt number.

Language: Английский

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Entropy analysis on EMHD 3D micropolar tri-hybrid nanofluid flow of solar radiative slendering sheet by a machine learning algorithm

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Nov. 6, 2023

The purpose of this paper is to analyze the heat transfer behavior electromagnetic 3D micropolar tri-hybrid nanofluid flow a solar radiative slendering sheet with non-Fourier flux model. conversion radiation into thermal energy an area significant interest as demand for renewable and power continues grow. Due their enhanced ability promote transmission, nanofluids can significantly contribute enhancing efficiency solar-thermal systems. combination silicon oil-based (Si), magnesium oxide (MgO), titanium (Ti) has attracted attention improve performance present study discloses new approach intelligent numerical computing solving, which utilizes MLP feed-forward back-propagation ANN Levenberg-Marquard algorithm. collection data was conducted testing, certifying, training Bvp4c solver in MATLAB utilized solve nonlinear equations governing momentum, temperature, skin-friction coefficient, Nusselt number. characteristics numerous dimensionless parameters such porosity parameter [Formula: see text], vortex viscosity electric field relaxation time source/sink parameter, text] temperature ratio text],nanoparticle volume fraction on Si + MgO Ti/silicon oil nanofluida are analyzed. model engages process selection, network construction, training, evaluation its effectiveness through utilization mean square error. Tables graphs used show how essential affect fluid transport properties. velocity profile decreased by higher values whereas increased. inversely proportional parameter. micro-rotation profiles reduced expanding It been determined that entropy generation Bejan number intensifications enlarged nanoparticle fraction.

Language: Английский

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