Predicting the thermal distribution in a convective wavy fin using a novel training physics-informed neural network method

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: March 25, 2024

Abstract Fins are widely used in many industrial applications, including heat exchangers. They benefit from a relatively economical design cost, lightweight, and quite miniature. Thus, this study investigates the influence of wavy fin structure subjected to convective effects with internal generation. The thermal distribution, considered steady condition one dimension, is described by unique implementation physics-informed neural network (PINN) as part machine-learning intelligent strategies for analyzing transfer fin. This novel research explores use PINNs examine effect nonlinearity temperature equation boundary conditions altering hyperparameters architecture. non-linear ordinary differential (ODE) involved reduced into dimensionless form utilizing non-dimensional variables simplify problem. Furthermore, Runge–Kutta Fehlberg’s fourth–fifth order (RKF-45) approach implemented evaluate simplified equations numerically. To predict fin's properties, an advanced model created without using traditional data-driven approach, ability solve ODEs explicitly incorporating mean squared error-based loss function. obtained results divulge that increase conductivity variable upsurges distribution. In contrast, decrease profile caused due augmentation convective-conductive values.

Language: Английский

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Computational examination of heat and mass transfer of nanofluid flow across an inclined cylinder with endothermic/exothermic chemical reaction

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 57, P. 104336 - 104336

Published: April 1, 2024

The consequence of thermal performance and mass distribution endothermic/exothermic chemical reaction pollutant concentration on the nanoliquid stream via cylinder/plate in presence permeable media is explored present study. advancement efficient waste disposal pollution prevention techniques might result from studies fluid flow dispersion contaminants cylinders plates. Further, TiO2 nanoparticle offers improved conductivity, helps wide range technological industrial applications. governing partial differential equations (PDEs) problem are modelled converted to ordinary (ODEs) utilizing similarity variables. resultant ODEs numerically solved using Runge Kutta Fehlberg's fourth-fifth order (RKF-45) scheme. influence various non-dimensional parameters velocity, thermal, profiles illustrated with a graphical representation. comparison between cylinder plate geometry also displayed graphs. novel outcomes show that augmentation parameter reduces profile endothermic case elevates exothermic case. Elevating local external source leads rise profile. It around 10%–12% Cf, 4%–6% Nu 8%–12% Sh observed than plate. transfer rate for values solid fraction activation energy. In all modes, performs better geometry.

Language: Английский

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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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Influence of quadratic thermal radiation and activation energy impacts over oblique stagnation point hybrid nanofluid flow across a cylinder

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 60, P. 104624 - 104624

Published: May 31, 2024

Quadratic thermal radiation is a fundamental term within the field of radiative heat transfer, which pertains to interaction radiation. It encompasses quadratic correlation between temperature and qualities. Although linear more prevalent in numerous everyday applications, non-linear important some situations, particularly where precise representation transfer required. The phenomenon assumes crucial function contexts that need enhanced accuracy modeling transfer. In view this, present investigation carried out examine hybrid nanofluid flow across cylinder under influence quadratic, nonlinear activation energy. governing system differential equations transformed into ordinary via similarity transformations. current study presents results utilizing shooting Runge-Kutta Fehlberg 45 numerical scheme. outcomes show curvature constraint will improve all three profiles while solid fraction decreases velocity raises other two profiles. shows less distribution, followed by cases. rate distribution improves 0.60% for case, 0.52% case 0.656% from nanofluid. Further, mass 0.068% improvement provide useful insights may be used enhance efficiency various including but not limited mechanics fluids, chemical technology, administration.

Language: Английский

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Role of catalytic reactions in a flow-induced due to outer stationary and inner stretched coaxial cylinders: An application of Probabilists’ Hermite collocation method

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 56, P. 104218 - 104218

Published: March 6, 2024

This paper investigates the impact of homogeneous-heterogeneous reactions on flow between coaxial cylinders with heat generation/absorption. From an engineering perspective, in energy absorber design for shrinking and expanding a circular metal tube production extruding materials by stretching designing great care is necessary to regulate skin friction transfer rate. Studying processes confined geometries enhances basic knowledge chemical kinetics fluid dynamics. Researchers may increase efficiency/heat activities systems optimized analysing effects flow. Both cost reductions higher-quality products result from this optimization. research yield insights far-reaching implications across multiple disciplines. The modelled equations are transformed into ordinary differential employing apt similarity transformations obtained solved using collocation method Probabilists' Hermite polynomial. Graphs illustrating variation velocity, thermal, concentration profiles have been plotted influence various parameters. curvature parameter causes velocity thermal profile upsurge. rise source/sink improves transport. As heterogeneous homogeneous parameters upsurge, decreases.

Language: Английский

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Impact of waste discharge concentration on fluid flow in inner stretched and outer stationary co-axial cylinders

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 244, P. 122757 - 122757

Published: Feb. 17, 2024

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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Numerical Study on Nanoparticles Aggregation with Brownian Motion in Fluid Flow Induced by Squeezing Porous Slider

BioNanoScience, Journal Year: 2024, Volume and Issue: 14(3), P. 2446 - 2456

Published: May 25, 2024

Language: Английский

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Dual solutions in Maxwell ternary nanofluid flow with viscous dissipation and velocity slip past a stretching/shrinking sheet

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 105, P. 437 - 448

Published: Aug. 6, 2024

The industrial significance of stability analysis for dual solutions and heat transfer sets the stage this research. Focusing on Maxwell ternary nanofluid flow, study aims to enhance thermal conductivity by delving into viscous dissipation velocity slip effects a stretching/shrinking sheet. Employing mathematical model, refined with nondimensional transformations MATLAB's BVP4C solver, research identifies examines influence key parameters fluid dynamics transfer. Results showcase progressive improvement in convective skin friction from mono (NF) binary hybrid (HNF), culminating (THNF). These improvements are significantly associated suction/injection parameter (S), whereas (σ) elastic (K) but negatively affect efficiency at elevated levels. robustness upper branch underscores reliability these findings. Remarkably, λ=−1.25 nanoparticle volume fraction 0.04, nanofluids achieve 2.9% leap over HNF, which itself surpasses NF 0.46%. findings hold potential significant advancements sectors such as electronics, manufacturing, energy, biomedical, environmental engineering, aerospace, automotive, aiming elevating efficiency.

Language: Английский

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Characteristics of MWCNT, SWCNT, Cu and water based on magnetized flow of nanofluid with Soret and Dufour effects induced by moving wedge: Consequence of Falkner–Skan power law

Numerical Heat Transfer Part A Applications, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: April 22, 2024

Soret and Dufour effects are utilized in designing efficient heat exchangers, optimizing separation processes, understanding biological transport phenomena. A wedge-shaped structures aid aerodynamics, optics, seismic resistance, studies. Due to these application the consequences on flow of nanofluid due wedge have been investigated. The characteristics water (H2O) as a base fluid single-walled carbon nanotubes (SWCNTs), multi-walled (MWCNTs), copper (Cu) nanoparticles taking into account. influence thermal radiation source/sink part this investigation. Similarity variables used sort out complexity fundamental governing equations. Maple via Runge–Kutta–Fehlberg method (RKF45) is solve resulting system ordinary differential equations (ODEs). graphical tabulated results velocity, temperature, concentration profiles plotted against different parameters involved study. findings indicate that modifying moving factor reduces temperature distribution. By increasing value magnetic constraint velocity distribution increased, both increased for varying Dufour, parameters.

Language: Английский

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