Computational convection analysis of second grade MHD nanofluid flow through porous medium across a stretching surface

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Journal Year: 2024, Volume and Issue: 104(4)

Published: Feb. 4, 2024

Abstract Nanofluids significantly influence modern life due to their vast usages in the era. Transport analysis of non‐Newtonian fluids with nanoparticles (carbon nanotubes) over a stretching surface is primary focus present investigation. Effects viscous dissipation, porous medium, magnetic field, and heat source factors are also examined. Boundary layers approximation used simulate underlying collection partial differential equations (PDEs) that regulate system. Using non‐similarity transformation, basic PDEs model converted into dimensionless nonlinear PDEs. Up second level truncation can be treated as ordinary (ODEs) generated from utilizing local approach. The resultant computationally solved using bvp4c code MATLAB technique. In this study, we compile compare obtained findings previous research. Graphs demonstrate how velocity temperature profiles depend entirely on wide range physical parameters. A rise second‐grade fluid parameter upsurges distribution, while an increment porosity declines distribution. As values, Eckert number, parameter, increase, so does profile nanofluid.

Language: Английский

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Dynamics of magnetized viscous dissipative material of hybrid nanofluid with irregular thermal generation/absorption

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 58, P. 104359 - 104359

Published: April 24, 2024

The intriguing thermophysical properties of nanoparticles have considerable potential in thermal transportation for engineering applications. inclusion solid the base fluid raises fluid's conductivity, which improves transfer characteristics. Thus, an analysis is performed by assuming Tiwari and Das model, flow energy aspects hybrid a shrinkable porous medium. current study focuses on heat performance dynamic ethylene glycol-based titania alumina nanoparticles. flow-controlling system PDEs transformed into non-linear ODEs using similarity transformations, resulting equations are then solved numerically through solver bvp4c Matlab function with limit tolerance . multiple branches solutions noted distinct values suction shrinking parameters. outcomes reveal that nanocomposites significantly. findings indicate nanofluids more effective increasing transport rate. Further, upper branch solution, friction drags, rate higher influence strength while it declines lower branch.

Language: Английский

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Optimizing thermosolutal and hydrothermal performance of radiative hybrid ferrofluid and entropy generation in a wavy porous enclosure

Journal of Magnetism and Magnetic Materials, Journal Year: 2024, Volume and Issue: 592, P. 171774 - 171774

Published: Jan. 29, 2024

Language: Английский

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Magnetic Fluids: The Interaction between the Microstructure, Macroscopic Properties, and Dynamics under Different Combinations of External Influences

Nanomaterials, Journal Year: 2024, Volume and Issue: 14(2), P. 222 - 222

Published: Jan. 19, 2024

Magnetic fluids were historically the first active nano-dispersion material. Despite over half a century of research, interest in these nano-objects continues to grow every year. This is due impressive development nanotechnology, synthesis nanoscale structures, and surface-active systems. The unique combination fluidity magnetic response allows be used engineering devices biomedical applications. In this review, experimental results fundamental theoretical approaches are systematized predict micro- macroscopic behavior fluid systems under different external influences. article serves as working material for both experienced scientists field novice specialists who just beginning investigate topic.

Language: Английский

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Flow of magnetohydrodynamic blood-based hybrid nanofluids with double diffusion in the presence of Riga plate for heat optimization and drug applications

Advances in Mechanical Engineering, Journal Year: 2024, Volume and Issue: 16(5)

Published: May 1, 2024

In a recent study, researchers investigated the flow behavior of Casson Hybrid nanofluids (HNFs) combination single and multi-walled carbon nanotubes (SWCNTs), (MWCNTs) on Riga plate for drug delivery applications. The study found that HNFs exhibited non-Newtonian plate, with presence nanoparticles causing an increase in viscosity shear-thinning behavior. This rheological is favorable applications as it improves stability dispersion particles fluid. similarity equations problem are easily tackled homotopy analysis method (HAM) built fundamental mapping. high-speed flows, actuators expected to achieve requirements, since HNF enhanced by modified Hartmann numbers. As Eckert number, heat generation/absorption parameter, thermal relaxation time parameter decrease temperature, transport increases. Furthermore, increments paramount parameters, skin friction coefficient transfer rate remarkably meliorated under higher number. also showed properties which beneficial localized require precise temperature control.

Language: Английский

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Artificial intelligence -based prediction of heat transfer enhancement in ferrofluid flow under a rotating magnetic field: Experimental study

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 58, P. 104442 - 104442

Published: April 21, 2024

The utilization of various techniques, both passive and active, to enhance heat transfer in fluids by scientists is continually advancing. One the active methods being explored impact a magnetic field (B) on flow improve transfer. This study focuses experimentally evaluating effectiveness B rotation ferrofluid. findings indicate that increasing volume fraction nanoparticles, can be enhanced approximately 2.73-2.82%. Furthermore, use intensifying its intensity leads 3.75-3.8% enhancement Rotating rotational speed also contribute improved transfer, with 0.2rad/s increase resulting 5%-12.43% improvement By utilizing available data employing artificial intelligence such as Group Method Data Handling (GMDH) Long Short-Term Memory (LSTM), an estimation Nusselt number (Nu) has been achieved. outcomes demonstrate models have displayed high accuracy predicting Nu, GMDH showing superior compared LSTM estimating Nu.

Language: Английский

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Computational Exploration of Gyrotactic Microbes and Variable Viscosity Effects on Flow of Chemically Reactive Nanofluid

BioNanoScience, Journal Year: 2024, Volume and Issue: 14(3), P. 2899 - 2908

Published: July 3, 2024

Language: Английский

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Innovative ferrofluid-based vortex-assisted dispersive liquid-liquid microextraction of cadmium and nickel using novel and natural hydrophobic deep eutectic solvent and 2-methylimidazole-coated magnetic nanoparticles

Microchemical Journal, Journal Year: 2025, Volume and Issue: 211, P. 113050 - 113050

Published: Feb. 25, 2025

Language: Английский

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Optimizing a ternary hybrid ferrofluid slip flow with magnetic dipole and viscous dissipation by Response Surface Methodology (RSM)

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 126087 - 126087

Published: Feb. 1, 2025

Language: Английский

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Thermodynamic analysis of EMHD ternary nanofluid flow with shape factor effects over a shrinking sheet: A non-Fourier heat flux model

Numerical Heat Transfer Part A Applications, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 24

Published: Feb. 13, 2024

The investigation of the flow characteristics ternary hybrid nanofluids through a contracting sheet has considerable importance due to its potential for achieving exceptionally high rates heat transfer. nanofluid then absorbs from surface and carries it away. objective this study is analyze influence couple stress activation energy parameters on (H2O+MWCNT+ZnO+Al2O3) with electric forces convective boundary conditions. flux model created by Cattaneo Christov utilized examine mechanism transmission. equations necessary depict problem have been transformed into system, which subsequently resolved using bvp4c solver (MATLAB built-in function). It found that there rise in Bejan number increase parameter. An volume percentage multi-walled carbon nanotubes (ϕMW) observed result an augmentation entropy generation . fall friction factor when parameter rises at 0≤Ed≤0.6, (electric field parameter), seen rate 0.638797 (Platelet) (0.638784). A positive correlation between thermal relaxation (ϒ) fluid temperature, indicating former leads latter. discovered that, 0≤ϒ≤0.3, Nusselt 0.022587 0.022275 (Cylinder). There negative upsurge (Eg) corresponding Sherwood number. At 0≤Eg≤3, decline 0.0321 0.03208

Language: Английский

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