Analyzing magnetic dipole impact in fluid flow with endothermic/exothermic reactions: neural network simulation

Physica Scripta, Journal Year: 2024, Volume and Issue: 99(6), P. 065215 - 065215

Published: April 18, 2024

Abstract The consequence of exothermic/endothermic chemical reactions and Arrhenius activation on the heat mass transport liquid flow past a cylinder in incidence magnetic dipole is considered current investigation. Magnetic dipoles are used medical applications such as magnotherapy spectroscopy, to produce static fields. Scientists engineers can improve effectiveness or transfer operations by analyzing impact building systems with optimized flows. modelled equations converted into non-dimensional ordinary differential (ODEs) using similarity variables. resultant solved employing physics-informed neural network (PINN) technique. Additionally, comparison PINN numerical method Runge–Kutta Fehlberg’s fourth-fifth order (RKF-45) studied. effects different parameters temperature, concentration, velocity profiles for endothermic/exothermic instances shown graphically. thermal, velocity, concentration get stronger curvature parameter values increase both endothermic exothermic cases. influence energy parameters, reaction thermal also depicted.

Language: Английский

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Computational analysis of water-based silver, copper, and alumina hybrid nanoparticles over a stretchable sheet embedded in a porous medium with thermophoretic particle deposition effects

Nanotechnology Reviews, Journal Year: 2024, Volume and Issue: 13(1)

Published: Jan. 1, 2024

Abstract The present study scrutinizes the significance of heat source/sink (HSS), thermophoretic particle deposition, and porous media on time-dependent ternary nanofluid stream across a stretchable surface in presence Newtonian heating (NH) common wall temperature (CWT) cases. governing equations investigated model are changed into ordinary differential by using suitable similarity transformations. resultant dimensionless solved Laguerre polynomial collocation method. For comparison, Runge Kutta Fehlberg’s fourth-fifth order (RKF-45) method is employed. Graphs used to illustrate significant parameters’ impacts each profile, relevant physical quantities such as Sherwood number, skin friction, Nusselt number exhibited. reveals that velocity profile drops with an increase permeable parameters. thermal increases improvement HSS constraints. concentration diminishes value parameter rises. better solid volume fraction values, rate dispersal lower NH case associated CWT case. Additionally, distribution enhanced approximately 2.90% drag force, 4.73% 2.27% case, mass transfer 2.99% when transitioning from hybrid (normal) nanofluid. results will help exchangers, management, chemical engineering, biomedical instruments, design optimization electronic equipment.

Language: Английский

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Neural network algorithms of a curved riga sensor in a ternary hybrid nanofluid with chemical reaction and Arrhenius kinetics

Journal of Radiation Research and Applied Sciences, Journal Year: 2024, Volume and Issue: 17(4), P. 101078 - 101078

Published: Aug. 17, 2024

Language: Английский

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Dynamics of Fourier's and Fick's laws on the convectively heated oscillatory sheet under Arrhenius kinetics: The finite-difference technique

Journal of Computational Science, Journal Year: 2024, Volume and Issue: 82, P. 102428 - 102428

Published: Aug. 30, 2024

Language: Английский

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A numerical study on the radiative heat transfer aspects of hybrid nanofluid flow past a deformable rotating cone

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 7(6), P. 5719 - 5729

Published: July 26, 2024

Language: Английский

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Two-phase numerical simulation of thermal and solutal transport exploration of a non-Newtonian nanomaterial flow past a stretching surface with chemical reaction

Open Physics, Journal Year: 2024, Volume and Issue: 22(1)

Published: Jan. 1, 2024

Abstract Non-uniform heat sources and sinks are used to control the temperature of reaction ensure that it proceeds at desired rate. It is worldwide in nature may be found all engineering applications such as nuclear reactors, electronic devices, chemical etc . In food processing, cook microwave ovens, pasteurize infrared heaters, sterilize products. mainly biomedical applications, hyperthermia cancer treatment, target kill cells. Because its ubiquitous nature, idea taken our subject study. Heat species transfer analysis a non-Newtonian fluid flow model under magnetic effects past an extensible moving sheet modelled examined. Homogeneous inside medium also investigated. This natural phenomenon framed set Prandtl boundary layer equations assumed convective surface constraint. Self-similarity transformation employed convert ordinary differential equations. The resultant system solved using efficient finite difference utilized Keller box method with help MATLAB programming. influence various fluid-affecting parameters on momentum, energy, diffusion wall drag, heat, mass coefficients studied. Accelerating Weissenberg number decelerates velocity. rises due variations non-uniform source sink parameters. Ohmic dissipation affects profile significantly. Species reduces when thermophoresis parameter vary. Eckert enhances Increasing decreases shear stress energy transmission rate while improving drag coefficient Sherwood decrease thermophoretic increases whereas Nusselt increases. We hope this work will act reference for future scholars who have deal urgent problems related industrial technical enclosures.

Language: Английский

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Ramification of Hall effects in a non-Newtonian model past an inclined microchannel with slip and convective boundary conditions

Applied Rheology, Journal Year: 2024, Volume and Issue: 34(1)

Published: Jan. 1, 2024

Abstract Many applications, including micro air vehicles, automotive, aerospace, refrigeration, mechanical–electromechanical systems, electronic device cooling, and heat exchanger can be used to determine the flow in microchannels. Regarding engineering optimization discusses role of entropy production minimization. Therefore, this work explores new facets fully developed Carreau fluid transport an inclined microchannel considering exponential space/temperature dependence, radiative flux, Joule heating. The model’s rheological properties are taken into account. Additionally, influence Hall slip velocity convective boundary conditions is considered. Using appropriate transformation constraints, governing equations transformed a system ordinary differential equations, which then numerically solved using fourth- fifth-order Runge–Kutta–Fehlberg method. Graphs illustrate significant discussion physical parameters on entropy, Bejan number, thermal field, velocity. Our findings established that there dual impact generation for space/temperature-dependent, radiation parameter, Weissenberg parameter. number decreased with current it enhanced dependent. convection constraint maximizes at channel walls. results compared exact solutions, show excellent agreement.

Language: Английский

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On the thermal performance of a three-dimensional cross-ternary hybrid nanofluid over a wedge using a Bayesian regularization neural network approach

High Temperature Materials and Processes, Journal Year: 2024, Volume and Issue: 43(1)

Published: Jan. 1, 2024

Abstract Significance Studying the flow of ternary nanofluids [Ag, Cu, MoS 2 ] holds significant importance in both science and engineering. Ternary are vital advancing thermal management systems, heat exchangers, aerospace, materials processing applications. Purpose This study investigates hybrid Carreau nanofluid numerically for proficiency inclined magnetized environment. In this study, three distinct nanoparticles base fluid water over wedge used. The velocity is judged under influence an magnetic field, performance scrutinized by incorporating radiation effect. Methodology physical problem generates partial differential equations, which transformed into ordinary equations (ODEs) through similarity variables. These ODEs linearized a system then passed bvp4c Matlab program to get solution. solution again trained artificial neural network, further results obtained with schemes compared. Findings most rapid transport analysis found compared bi-hybrid nanofluids. parameters environment augment rate transport.

Language: Английский

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Thermophoretic diffusion deposition velocity effect in the flow-induced due to inner stretched and outer stationary coaxial cylinders

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 60, P. 104716 - 104716

Published: June 17, 2024

This study's primary goal is to examine the mass and heat transfer in fluid flow between two cylinders while taking thermophoretic particle deposition impact into account. Only stretching effect of inside cylinder under stationary outside causes flow. The governing partial differential equations (PDEs) dynamics are converted ordinary (ODEs) by utilizing similarity transformations. Then, using shooting approach Runge-Kutta Fehlberg fourth-fifth order (RKF-45) method, these simplified numerically solved. Graphical depictions utilized analyze physical behaviour key factors detail. comparison published findings with obtained outcome given here check accuracy a good agreement results. Results reveal that gap size strongly influences momentum, fields. Velocity thermal profiles increase as curvature parameter upsurges, but concentration profile declines. It also observed when width rise, rate transmission reduces. demonstrate transportation declines coefficient value increase.

Language: Английский

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Predictive modeling through physics‐informed neural networks for analyzing the thermal distribution in the partially wetted wavy fin

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Journal Year: 2024, Volume and Issue: 104(8)

Published: July 19, 2024

Abstract The heat transport analysis and thermal distribution in partially wetted wavy profiled fin are investigated the current study. Convective, radiative effects temperature‐dependent conductivity all considered this transfer analysis. dimensional governing temperature equations of extended surface nondimensionalized utilizing appropriate dimensionless terms. Further, resulting nondimensional solved by employing Physics‐Informed Neural Network (PINN). values obtained numerical procedure Runge Kutta Fehlberg's fourth‐fifth (RKF‐45) order scheme compared with PINN outcomes. results portrayed aid tables, significance several constraints on wet is exhibited using graphical illustrations. A rise parameter enhances fin's profile. diminishes as convective‐conductive parameter, ratio radiation‐conduction upsurges.

Language: Английский

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