Analysis of Casson ternary nanofluid integration under various thermal physical impacts with Cattaneo-Christov model: Exploring magnified heat transfer in stretchy surface

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 101, P. 450 - 460

Published: Jan. 2, 2025

Language: Английский

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Numerical analysis of MHD ternary nanofluid flow past a permeable stretching/shrinking sheet with velocity slip

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 116, P. 427 - 438

Published: Jan. 5, 2025

Language: Английский

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ANN-based Two hidden layers computational procedure for analysis of heat transport dynamics in polymer-based trihybrid Carreau nanofluid flow over needle geometry

Hybrid Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100396 - 100396

Published: Jan. 1, 2025

Language: Английский

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Stagnation Slip Flow of Ternary Hybrid Nanofluid over an Exponentially Shrinking/Stretching Sheet with Joule Heating, MHD, and Thermal Radiation Effects

Chinese Journal of Physics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

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Significance of trihybrid nanoparticles in non-Newtonian fluids: a finite-element simulation of magnetohydrodynamic effects under microgravity conditions

Mechanics of Time-Dependent Materials, Journal Year: 2024, Volume and Issue: unknown

Published: March 28, 2024

Language: Английский

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Magnetohydrodynamic ternary hybrid nanofluid slip flow past a permeable shrinking sheet: boundary layer flow control and optimization using response surface methodology

International Journal of Numerical Methods for Heat &amp Fluid Flow, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 11, 2025

Purpose Magnetohydrodynamics (MHD) in nanofluids is crucial boundary layer flow as it enables the manipulation of fluid motion through magnetic fields, which leads to improved stability and efficiency. This study aims introduce a model solutions for ternary hybrid nanofluid past permeable shrinking sheet, integrating both magnetohydrodynamic slip effects. Design/methodology/approach The firstly expressed partial differential equations subsequently converted into ordinary (ODEs) similarity transformation technique. A finite difference scheme with Lobatto IIIa formula MATLAB applied numerically solve ODEs, where respective outcomes provide insights skin friction coefficient, Nusselt number, velocity profiles temperature profiles. Findings results highlight significance enhancing effects first-order reduce friction, improve heat transfer, delay separation, increase lower temperature. In addition, stable numerical solution scrutinized using response surface methodology (RSM) validate optimize control. RSM optimization confirms that higher suction, levels are essential minimizing maximizing transfer simultaneously. Originality/value presented together statistical can be used guidance control occur within related practical application, especially engineering industrial activities such cooling technologies, energy harvesting or transport nanotechnology, precise dynamics optimizing performance reducing consumption.

Language: Английский

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Aspects of motile microorganism and thermophoretic particle deposition in the binary chemical reactive ternary hybrid nanofluid past a porous microchannel

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Journal Year: 2025, Volume and Issue: 105(5)

Published: April 18, 2025

Abstract This study explores the optimization of Casson fluids, focusing on role ternary hybrid nanofluids in enhancing thermal efficiency industrial and engineering applications. Specifically, impact thermophoretic particles chemical reactions bioconvective nanofluid flow through a vertical microchannel embedded with porous media is examined. The governing equations are reduced using similarity transformations, resulting nonlinear solved Runge–Kutta–Fehlberg 4th 5th order method. findings reveal that increasing constraint leads to decrease nanoparticle concentration, highlighting forces particle movement deposition. Additionally, parameter causes reduction velocity, which observed affect overall fluid dynamics system. presence variable conductivity enhances field, suggesting temperature distribution can be significantly improved. Moreover, volume fraction distribution, indicating positive correlation between concentration efficiency. On other hand, results mass transfer rate, emphasizing trade‐off enhanced performance transport. These valuable for design advanced micro‐cooling devices, micro‐heat exchangers, micro‐pumps, macro mixing technologies, where both critical.

Language: Английский

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Levenberg–Marquardt Analysis of MHD Hybrid Convection in Non-Newtonian Fluids over an Inclined Container

Eng—Advances in Engineering, Journal Year: 2025, Volume and Issue: 6(5), P. 92 - 92

Published: April 30, 2025

This work aims to explore the magnetohydrodynamic mixed convection boundary layer flow (MHD-MCBLF) on a slanted extending cylinder using Eyring–Powell fluid in combination with Levenberg–Marquardt algorithm–artificial neural networks (LMA-ANNs). The thermal properties include stratification, which has higher temperature surface than surrounding fluid. mathematical model incorporates essential factors involving conventions, layers, heat absorption/generation, geometry curvature, properties, magnetic field intensity, and Prandtl number. Partial differential equations govern process are transformed into coupled nonlinear ordinary proper changes of variables. Datasets generated for two cases: flat plate (zero curving) (non-zero curving). applicability LMA-ANN solver is presented by solving MHD-MCBLF problem regression analysis, mean squared error evaluation, histograms, gradient analysis. It presents an affordable computational tool predicting multicomponent reactive non-reactive thermofluid phase interactions. study introduces application algorithm-based artificial (LMA-ANNs) solve complex flows fluids over inclined stretching cylinders. approach efficiently approximates solutions equations, demonstrating high accuracy reduced effort. Such advancements particularly beneficial industries like polymer processing, biomedical engineering, management systems, where modeling non-Newtonian behaviors crucial.

Language: Английский

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Intelligent computing applications to study the tri-hybrid nanofluid past over the stretched surface

Results in Physics, Journal Year: 2024, Volume and Issue: unknown, P. 107972 - 107972

Published: Sept. 1, 2024

Language: Английский

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A comparative study of casson and Jeffrey nanofluids flowing through the radiative bidirectional stretched surface with porous media

Proceedings of the Institution of Mechanical Engineers Part N Journal of Nanomaterials Nanoengineering and Nanosystems, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 24, 2025

A comparative study of radiative Casson and Jeffrey fluids flows generated by the chemically reactive bidirectional stretched sheet is presented. Energy mass species analysis performed under heat generation impacts. The Robin’s conditions are imposed for considered model. boundary-driven equations simplified into one independent variable equation implication similarity constraints. resulted model tackled help homotopic scheme. results various parameters sketched interpreted both nanofluids. convergence expressed through numeric benchmarks graphical form. evaluation Sherwood Nusselt number presented against versatile parametric values. showed that higher velocity curves appeared in nanofluid case as to nanofluid. temperature constraints boosted incrementing trend chemical Lewis weaker concentration profiles fluids. conducted research has magnificent appliances solar energy devices, reactors, reservoirs, nuclear power plants, microwave oven, thermal radiant, imaging many others.

Language: Английский

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