ATSS model based upon applications of Cattaneo-Christov thermal analysis for entropy optimized ternary nanomaterial flow with homogeneous-heterogeneous chemical reactions

Alexandria Engineering Journal, Journal Year: 2023, Volume and Issue: 79, P. 390 - 401

Published: Aug. 17, 2023

ATSS model for magnetohydrodynamic Darcy-Forchheimer radiative ternary nanoliquid flow by curved stretched sheet is constructed. Ternary consists of three different nanoparticles (gold (Au), zinc oxide (ZnO) and multi-walled carbon nanotube (MWCNT)) in ordinary liquid (Carboxymethylcellulose water (CMC-H2O)). Cattaneo-Christov heat flux convective condition are discussed. Thermal equation has Ohmic heating, generation/absorption radiation. Entropy production along with cubic autocatalysis chemical reaction The obtained differential nonlinear systems numerically computed using ND-solve method. Graphical discussion flow, entropy rate temperature via influential parameters nanomaterial (Au/CMC-H2O), hybrid (Au+ZnO/CMC-H2O) (Au+ZnO+MWCNT/CMC-H2O) organized. Computational outcomes coefficient skin friction Nusselt number studied. Opposite trend velocity curvature noticed. Velocity reduces against higher magnetic field. Augmentation Eckert thermal Biot numbers enhancement radiation diffusion parameter observed. transport relaxation time an increasing effect.

Language: Английский

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Bayesian regularization networks for micropolar ternary hybrid nanofluid flow of blood with homogeneous and heterogeneous reactions: Entropy generation optimization

Alexandria Engineering Journal, Journal Year: 2023, Volume and Issue: 77, P. 127 - 148

Published: July 3, 2023

This study aims to analyze a Bayesian regularization backpropagation algorithm for micropolar ternary hybrid nanofluid flow over curved surfaces with homogeneous and heterogeneous reactions, Joule heating viscous dissipation. The consists of nanoparticles titanium oxide (TiO2), copper (CuO), silicon (SiO2), blood as the base fluid. governing partial differential equations fluid are converted into ordinary using group self-similar transformations. solved an appropriate shooting in MATLAB. effects physical parameters including curvature, micro-polar, radiation, magnetic, Prandtl, Eckert, Schmidt, chemical reaction analyzed velocity, micro rotational, temperature, concentration profile. Physical quantities engineering interest like heat transfer rate, mass skin friction coefficient, couple stress entropy generation also discussed this study. A is designed solution equations. obtained network training state, performance, error histograms, model response, Error autocorrelation, input-error correlation plots. It observed that Bejan number increase enhancing Brinkman radiation parameter. Clinical researchers biologists may use results computational forecast endothelial cell damage plaque deposition arteries, by which severity these conditions can be reduced.

Language: Английский

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Efficiency assessment of thermal radiation utilizing flow of advanced nanocomposites on riga plate

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 242, P. 122531 - 122531

Published: Jan. 23, 2024

Language: Английский

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Analysis of chemical reactive nanofluid flow on stretching surface using numerical soft computing approach for thermal enhancement

Engineering Applications of Computational Fluid Mechanics, Journal Year: 2024, Volume and Issue: 18(1)

Published: April 17, 2024

In this work, computational intelligence methodologies are used to investigate the trihybrid nanofluid, a new theoretical model with remarkable thermal transmission properties enhance liquid performance. The nanostructure Cu, Al2O3, and TiO2 were immersed in base (C2H6O2) produce (Cu + Al2O3 TiO2/C2H6O2) nanofluid. Darcy-Forchheimer porous medium over stretching Riga sheet, study examines electromagnetic ternary hybrid nanofluid flow under various slip situations. takes into account complex interactions between number of variables, including as viscous dissipation, radiation, heat sources, chemical reactions. Similarity transformations convert partial differential equations for flow, energy, concentration nonlinear ordinary equations. highly problem solved numerically use techniques from bvp4c approach. results method reference dataset required Levenberg-Marquardt backpropagation neural networks (LMBNN). network performance is validated using regression analysis, mean square errors, error histogram data. problem's consistency precision evaluated absolute error, which given each instance at around 10−06–10−08, 10−05–10−10 10−06 05–10−09. order reduce fluid dynamics system's numerical solutions have been taken consideration. Using comparative configurations MSE, histograms, state transitions, correlation, regression, reliability competence stochastic technique verified.

Language: Английский

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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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Modeling of chemically reactive fluid dynamics with thermal effect and energy source through a magnetized medium

Journal of Thermal Analysis and Calorimetry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 22, 2025

Language: Английский

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Numerical Simulations of Thermal Convection in Unsteady Darcy Forchheimer Flow of Radiative Hybrid Nanofluid Over a Slipping Spinning Porous Disk

Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105826 - 105826

Published: Feb. 1, 2025

Language: Английский

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Unsteady mix convectional stagnation point flow of nanofluid over a movable electro-magnetohydrodynamics Riga plate numerical approach

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: July 6, 2023

Abstract The flow at a time-independent separable stagnation point on Riga plate under thermal radiation and electro-magnetohydrodynamic settings is examined in this research. Two distinct base fluids-H 2 O C H 6 TiO nanostructures develop the nanocomposites. problem incorporates equations of motion energy along with unique model for viscosity conductivity. Similarity components are then used to reduce these calculations. Runge Kutta (RK-4) function yields simulation result, which displayed graphical tabular form. For both involved fluid theories, nanofluids profiles relating relevant aspects computed analyzed. According findings research, heat exchange rate significantly higher than model. As volume percentage nanoparticles rises, velocity field degrades while temperature distribution improves. Moreover, greater acceleration parameters, / has highest coefficient whereas skin friction coefficient. key observation that nanofluid little performance nanofluid.

Language: Английский

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KHA model comprising MoS₄ and CoFe₂O₃ in engine oil invoking non-similar Darcy–Forchheimer flow with entropy and Cattaneo–Christov heat flux

Nanoscale Advances, Journal Year: 2023, Volume and Issue: 5(22), P. 6135 - 6147

Published: Jan. 1, 2023

Objective: Nanoliquid flows are widely utilized in industrial, petroleum, engineering, and pharmaceutical applications including electric cooling, drug delivery, nuclear reactor solar collectors, heat exchangers, magnetohydrodynamic power generators, aerospace, porous media, thermal storage systems, many others. Darcy-Forchheimer magnetized hybrid nanoliquid subjected to a stretchable cylinder was addressed, the Cattaneo-Christov flux analysis considered. Herein, disulfido (dithioxo) molybdenum (MoS4) cobalt ferrite (CoFe2O4) were considered as nanoparticles, engine oil conventional liquid. The relationship of generation radiation discussed, influence entropy rate addressed. Methodology: Governing expressions transformed into dimensionless forms. Simulation by ND-solve technique implemented. Conclusions: Features for rate, liquid flow, temperature against emerging variables (MoS4/engine oil) (MoS4 + CoFe2O4/engine explored. numerical results coefficient skin friction transport examined. Reduction velocity clearly occurred through magnetic field, whereas reverse impact held rate. field curvature parameter enhanced. A decrease flow higher porosity variables. An enhancement witnessed parameters. Higher relaxation time resulted

Language: Английский

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Exploring nanoparticle dynamics in binary chemical reactions within magnetized porous media: a computational analysis

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

Published: Oct. 26, 2024

Artificial Neural Networks are incredibly efficient at handling complicated and nonlinear mathematical problems, making them very useful for tackling these challenges. neural networks offer a special computational architecture that is extremely valuable in disciplines like biotechnology, biological computing, fluid dynamics. The present work investigates the applicability of back-propagation artificial conjunction with Levenberg-Marquardt algorithm evaluating heat transmission hybrid nanofluids. This focuses on analysis MgO + GO/EG nanofluid's steady mixed convection flow over an exponentially stretched sheet, considering multiple slip boundary conditions, thermal conductivity, generation, radiation. A system ordinary differential equations produced from basic associated partial by performing proper exponential similarities modifications. For generating benchmark datasets, resulting processed employing bvp4c method. Considering datasets set aside training (70%), testing (15%), validation algorithm, which employs networks, implemented. accuracy suggested strategy problems verified utilizing mean squared error, error histograms, regression analysis, all used to evaluate methodology. Outstanding agreement seen when ANN outputs compared numerical results. properties, including temperature, velocity, concentration profiles, shown graphically numerically. practical purposes, it therefore essential analyze transfer nanofluids extending shrinking surfaces under source scenarios. Hybrid nanofluid have wide range industrial applications, such as medication delivery, manufacturing, microelectronics, nuclear plant cooling, marine engineering.

Language: Английский

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