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

M. Gul,

F. M. Abbasi

и другие.

Numerical Heat Transfer Part B Fundamentals, Год журнала: 2024, Номер unknown, С. 1 - 24

Опубликована: Июнь 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.

Язык: Английский

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

FM Abbasi,

J. Iqbal

и другие.

Proceedings of the Institution of Mechanical Engineers Part N Journal of Nanomaterials Nanoengineering and Nanosystems, Год журнала: 2024, Номер unknown

Опубликована: Июнь 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.

Язык: Английский

Процитировано

3
A cross-fluid heat transfer analysis using neural networks over porous rotating disk DOI
Fahim Ullah,

Muhammad Bilal Ashraf

Physics of Fluids, Год журнала: 2024, Номер 36(9)

Опубликована: Сен. 1, 2024

This research explores the complex interaction of incompressible cross-fluid flow, heat, and mass transfer characteristics on a porous rotating disk. The study employs sophisticated mathematical methods, including similarity transformations, to convert governing partial differential equations into nonlinear ordinary equations. These are then solved using numerical method, fourth-class boundary value problem. We employ an Artificial Neural Networks algorithm with backpropagation Levenberg–Marquardt Scheme analyze heat mechanism quantitatively. Our results provide accurate values for Nusselt number, Sherwood skin friction coefficient. examination addresses this system's fluid mechanics transport phenomena potential applications in engineering industrial processes.

Язык: Английский

Процитировано

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

Aadil Arshad Ferhath,

Kamalakkannan Kasi

Discover Mechanical Engineering, Год журнала: 2025, Номер 4(1)

Опубликована: Март 17, 2025

Язык: Английский

Процитировано

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

и другие.

Journal of Radiation Research and Applied Sciences, Год журнала: 2025, Номер 18(2), С. 101449 - 101449

Опубликована: Март 25, 2025

Язык: Английский

Процитировано

0
Artificial intelligence approach to magnetohydrodynamic flow of non-Newtonian fluids over a wedge: Thermophoresis and Brownian motion effects DOI
T.A. Taha, Sohaib Abdal, Liaqat Ali

и другие.

Engineering Science and Technology an International Journal, Год журнала: 2025, Номер 66, С. 102071 - 102071

Опубликована: Апрель 25, 2025

Язык: Английский

Процитировано

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

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 154, С. 110990 - 110990

Опубликована: Май 9, 2025

Язык: Английский

Процитировано

0
Artificial neural network-based computational heat transfer analysis of Carreau fluid over a rotating cone DOI
Fahim Ullah, M. Bilal Ashraf

Physics of Fluids, Год журнала: 2024, Номер 36(11)

Опубликована: Ноя. 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

Язык: Английский

Процитировано

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, Год журнала: 2024, Номер unknown

Опубликована: Дек. 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.

Язык: Английский

Процитировано

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

M. Gul,

F. M. Abbasi

и другие.

Numerical Heat Transfer Part B Fundamentals, Год журнала: 2024, Номер unknown, С. 1 - 24

Опубликована: Июнь 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.

Язык: Английский

Процитировано

1