Thermal transport of radially magnetized peristalsis of non-Newtonian nanofluid through an asymmetric curved channel DOI
J. Iqbal,

M. Gul,

F. M. Abbasi

et al.

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

Published: June 18, 2024

Present examination explores the heat and mass transfer phenomena for magnetohydrodynamics (MHD) peristaltic transport of diethylene glycol (DEG)-based Cross nanofluid through an asymmetric curved channel. The thermal characteristics are established assessment Buongiorno nano-liquid model, which allows to identify intriguing features thermophoretic Brownian diffusion coefficients. Further, velocity slip conditions enforced on walls. influences radiation, radius-dependent magnetic field viscous dissipation also taken into consideration. governing equations simplified by employing lubrication theory ("biological estimate creeping transportation phenomenon"), resulting system is tackled numerically. Impacts different flow parameters nanofluid's velocity, nanomaterials concentration profile, transfer, streamlines, temperature nanofluid, stresses at wall analyzed via graphs tables. findings this investigation report that enhances against Hartmann Brinkman numbers, whereas it declines radiation parameter. distribution profile decreases motion while increases thermophoresis a development in stresses, rates boundary seen better values number. Additionally, higher parameter show increasing behavior near walls effects MHD with magnesium aluminate nanoparticles suspended DEG base fluid-based conduit have many uses industry, organic compounds, biomedical engineering, commercial productions, such as brake fluid, tobacco, polyester resins, certain dyes, printing ink, polyurethanes, glue, antifreeze, nitrocellulose, oils, cigarettes, plasticizers, so forth. DEG-based nanofluids used human medications, including acetaminophen sulfanilamide, can result incidents poisoning, some been fatal, either intentionally or unintentionally.

Language: Английский

Integration of artificial neural network computing for radially magnetized bioconvection peristaltic movement of Reiner-Philippoff nanofluid with porous medium DOI
J. Iqbal, F. M. Abbasi

Journal of Molecular Liquids, Journal Year: 2024, Volume and Issue: unknown, P. 126783 - 126783

Published: Dec. 1, 2024

Language: Английский

Citations

3
Conventional Flow Analysis Methods in Vehicle Damper Performance Evaluation DOI Creative Commons

Aadil Arshad Ferhath,

Kamalakkannan Kasi

Discover Mechanical Engineering, Journal Year: 2025, Volume and Issue: 4(1)

Published: March 17, 2025

Language: Английский

Citations

0
Optimized neural network modeling of ternary hybrid nanofluid dynamics in double rotating disks with radiation and Cattaneo-Christov heat flux DOI

Kashif Ullah,

Hakeem Ullah, Mehreen Fiza

et al.

Journal of Radiation Research and Applied Sciences, Journal Year: 2025, Volume and Issue: 18(2), P. 101449 - 101449

Published: March 25, 2025

Language: Английский

Citations

0
Radiative heat and mass transfer significance through a permeable vertical plate with rotational effects: An artificial approach using the Levenberg–Marquardt algorithm DOI Creative Commons

R. Kavitha,

J. Kavikumar,

Ahmad Haji Zadeh

et al.

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

Published: April 1, 2025

We examine a heat-absorbing viscous fluid’s electrically conducting boundary layer flow over semi-infinite permeable plate in porous medium inclined at an angle α. Nonlinear partial differential equations are solved using perturbation methods, and graphical analysis is used to determine how parameters impact concentration, temperature, velocity profiles. Buoyancy forces increase fluid with the increased Grashof number. However, presence of magnetic (Lorentz) rotational (Coriolis) effects introduces resistance, leading reduction velocity. A direct relationship observed between number skin friction, while radiation parameter inversely affects Nusselt An Schmidt lowers Sherwood also investigate rotation on unsteady magnetohydrodynamic slip Artificial Neural Network (ANN) model employing Levenberg–Marquardt Backpropagation. The ANN accurately predicts dynamics heat transfer numerical simulation data. Model accuracy validated through mean squared error graphs, regression analysis, histograms, demonstrating reliable predictions under varying conditions.

Language: Английский

Citations

0
Artificial neural network aided computing for two dimensional magnetohydrodynamic peristaltic movement of nanofluid with heat and mass transfer DOI
Hani Alahmadi, J. Iqbal, F. M. Abbasi

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 154, P. 110990 - 110990

Published: May 9, 2025

Language: Английский

Citations

0
Double diffusive convection for MHD peristaltic movement of Carreau nanofluid with Hall effects DOI
S. N. Kazmi,

FM Abbasi,

J. Iqbal

et al.

Proceedings of the Institution of Mechanical Engineers Part N Journal of Nanomaterials Nanoengineering and Nanosystems, Journal Year: 2024, Volume and Issue: unknown

Published: June 19, 2024

This study investigates the magnetohydrodynamics (MHD) peristaltic motion of double diffusive convection Carreau nanofluid through an asymmetric channel. Hall and magnetic field effects are also incorporated. The governing equations simplified under assumptions large wavelength small Reynolds number. Resulting set solved numerically graphs obtained to analyze influences pertinent flow parameters such as Hartmann number, parameter, Grashof solutal Grashof, thermophoresis Brownian motion, Dufour Soret on different profiles. Isotherms trapping phenomena discussed via graphs. outcomes reveal that higher values parameter improve velocity profile. Large hydrodynamic enhance nanofluid’s temperature. For profile near channel walls improves. It is observed nanoparticle thermal numbers exhibit opposite behaviors both walls. Additionally, temperature increases with improving while (species) concentration decreases these conditions. pumping rate maintained nanoparticles Streamlines isotherms regulated number parameter. Furthermore, it pressure gradient for due influence “Lorentz force” which imparts physical resistance liquid. may help in various fields science engineering, particularly understanding natural phenomena, heat mass transport fluid systems, chemical physiology, medical sciences.

Language: Английский

Citations

3
Artificial neural network-based computational heat transfer analysis of Carreau fluid over a rotating cone DOI
Fahim Ullah, M. Bilal Ashraf

Physics of Fluids, Journal Year: 2024, Volume and Issue: 36(11)

Published: Nov. 1, 2024

Heat transport in a dynamically rotating cone immersed Carreau fluid is the subject of this investigation. The non-Newtonian, admired for its characteristics, and extensively utilized numerous industrial domains. study investigates interplay between buoyancy centrifugal forces within an analytical framework. employs sophisticated mathematical methods, including similarity transformations, to convert governing partial differential equations into nonlinear ordinary equations. These are then solved using shooting method, numerical technique that solves boundary value problem by iteratively adjusting initial conditions until satisfied. We employ artificial neural network algorithm with backpropagation Levenberg–Marquardt scheme analyze heat transfer mechanism quantitatively. In conjunction mechanism, we will use simulation algorithm, namely scheme. results prove enormous influence centrifugation on complex dynamics exchange processes. Some critical parameters govern convective process Nusselt number, Reynolds Grashof rotational velocities. research validates requirement considering non-Newtonian complexity viscous dissipation when investigating flow, facilitating more accurate expectations improved efficiency various

Language: Английский

Citations

2
Convective heat transfer analysis for magnetohydrodynamics Reiner–Philippoff nanofluid flow over a curved stretching surface: non-similar solution DOI
J. Iqbal, F. M. Abbasi

Multidiscipline Modeling in Materials and Structures, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 12, 2024

Purpose The primary purpose of this research is to investigate the flow and heat transfer characteristics non-Newtonian nanofluids, specifically Reiner–Philippoff (R-Ph) fluids, across a radially magnetized, curved, stretched surface. By considering factors such as Brownian motion, thermophoresis viscous dissipation, study aims enhance understanding mechanisms in various engineering industrial applications, thereby contributing improved thermal management strategies. Design/methodology/approach This employs local non-similarity method analyze behavior R-Ph nanofluids over governing system simplified using suitable transformations, approach applied treat non-dimensional partial differential equations ordinary equations. resulting numerically solved by employing Bvp4c algorithm via MATLAB. Various dimensionless parameters, magnetic numbers, are systematically varied evaluate their impact on velocity, concentration temperature profiles nanofluid. Findings results indicate that profile nanofluid improves with increasing while it decreases higher Schmidt Bingham numbers. velocity larger numbers curvature parameters but increases fluid Additionally, shows decreasing trend for rising Brinkman Sherwood number number, motion parameters. Originality/value provides novel analysis context curved stretching surfaces under fields, dynamics. use transform solve offers fresh perspective phenomena. findings have significant implications including engineering, electronics biomedical enhancing efficiency performance systems utilizing nanofluids.

Language: Английский

Citations

2
Thermal transport of radially magnetized peristalsis of non-Newtonian nanofluid through an asymmetric curved channel DOI
J. Iqbal,

M. Gul,

F. M. Abbasi

et al.

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

Published: June 18, 2024

Present examination explores the heat and mass transfer phenomena for magnetohydrodynamics (MHD) peristaltic transport of diethylene glycol (DEG)-based Cross nanofluid through an asymmetric curved channel. The thermal characteristics are established assessment Buongiorno nano-liquid model, which allows to identify intriguing features thermophoretic Brownian diffusion coefficients. Further, velocity slip conditions enforced on walls. influences radiation, radius-dependent magnetic field viscous dissipation also taken into consideration. governing equations simplified by employing lubrication theory ("biological estimate creeping transportation phenomenon"), resulting system is tackled numerically. Impacts different flow parameters nanofluid's velocity, nanomaterials concentration profile, transfer, streamlines, temperature nanofluid, stresses at wall analyzed via graphs tables. findings this investigation report that enhances against Hartmann Brinkman numbers, whereas it declines radiation parameter. distribution profile decreases motion while increases thermophoresis a development in stresses, rates boundary seen better values number. Additionally, higher parameter show increasing behavior near walls effects MHD with magnesium aluminate nanoparticles suspended DEG base fluid-based conduit have many uses industry, organic compounds, biomedical engineering, commercial productions, such as brake fluid, tobacco, polyester resins, certain dyes, printing ink, polyurethanes, glue, antifreeze, nitrocellulose, oils, cigarettes, plasticizers, so forth. DEG-based nanofluids used human medications, including acetaminophen sulfanilamide, can result incidents poisoning, some been fatal, either intentionally or unintentionally.

Language: Английский

Citations

1