Numerical simulations of energy storage performance in a close configuration: A Galerkin finite element-based computation

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 104, P. 56 - 65

Published: June 21, 2024

Language: Английский

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Mixed convection heat transfer in a partial porous layered split lid-driven wavy wall cavity with Cu–H ₂ O nanofluid

Numerical Heat Transfer Part B Fundamentals, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 27

Published: April 22, 2024

This numerical study investigates mixed convection heat transfer in a two-dimensional irregularly-shaped enclosure with nanofluid-saturated porous medium. The has wavy vertical walls, centered triangular block, and lid split into two regions moving opposite directions. Transport equations are solved using the finite element method under varied Darcy (10−5 to 10−1), Reynolds (50 200), Richardson (0.1 10), amplitude (0 0.2), nanoparticle volume fraction 0.1) numbers. Results demonstrate combined effects of forced from motion natural temperature differences significantly enhance transfer. walls induce secondary flows periodic disruption thermal boundary layers. Increasing number enables deeper penetration block. Copper nanoparticles incrementally improve conductive more prominent at higher numbers as buoyancy forces influence convection. provides novel insights synergistically utilizing geometries, nanofluids, media, active pumping for optimizing irregular enclosures electronics cooling management.

Language: Английский

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Thermal insulation and blood flow dynamics in branched channels with silver-gold hybrid nanofluids: novel radial base ANN modeling

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2025, Volume and Issue: 8(3)

Published: Feb. 18, 2025

Language: Английский

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Unveiling optical soliton solutions and bifurcation analysis in the space–time fractional Fokas–Lenells equation via SSE approach

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

Published: Jan. 23, 2024

The space-time fractional Fokas-Lenells (STFFL) equation serves as a fundamental mathematical model employed in telecommunications and transmission technology, elucidating the intricate dynamics of nonlinear pulse propagation optical fibers. This study employs Sardar sub-equation (SSE) approach within STFFL framework to explore uncharted territories, uncovering myriad soliton solutions (OSSs) conducting thorough analysis their bifurcations. discovered OSSs encompass diverse array, including bright-dark, periodic, multiple bright-dark solitons, various other types, forming captivating spectrum. These reveal an interplay among complex periodic sequences, rhythmic breathers, coexistence alongside intriguing phenomena like kinks, anti-kinks, dark-bell solitons. exploration, built upon meticulous literature review, unveils previously undiscovered wave patterns dynamic equation, significantly expanding theoretical understanding paving way for innovative applications. Utilizing 2D, contour, 3D diagrams, we illustrate influence temporal parameters on these solutions. Furthermore, comprehensive 3D, bifurcation diagrams scrutinize effects inherent equation. Employing Hamiltonian function (HF) enables detailed phase-plane analysis, complemented by simulations conducted using Python MAPLE software. practical implications OSS extend real-world physical events, underlining efficacy applicability SSE scheme solving time-space differential equations (TSNLFDEs). Hence, it is crucial acknowledge technique direct, efficient, reliable numerical tool, illuminating precise outcomes comparisons.

Language: Английский

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Effects of internal heat production and Joule heating on MHD conjugate mixed convection and entropy production inside a thermally non-homogeneous cooling system

Annals of Nuclear Energy, Journal Year: 2024, Volume and Issue: 206, P. 110671 - 110671

Published: May 31, 2024

Language: Английский

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MHD 3D nanofluid flow over nonlinearly stretching/shrinking sheet with nonlinear thermal radiation: Novel approximation via Chebyshev polynomials’ derivative pseudo-Galerkin method

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 102, P. 119 - 131

Published: June 5, 2024

This research work aims to theoretically examine the influence of various factors on three-dimensional nanofluid flow. The study includes parameters such as temperature ratio coefficient, Prandtl numbers, Schmidt, Soret, Dufour, Biot, expansion Power index, and nanoparticle volume fraction parameter, well effect non-linear thermal radiation magnetic parameter behavior nanofluid. These characteristics significantly impact flow boundary layer in presence an plate. To facilitate investigation, we have selected nanofluids that contain water-based copper aluminum oxide for this study. We developed a model system partial differential equations (SYS-PDEs) with terms. Based similarity equations, SYS-PDEs terms has been transformed into ordinary (SYS-ODEs) whose are non-linear. approximate solve obtained SYS-ODEs, utilized modified spectral Chebyshev polynomials' first derivative pseudo-Galerkin method. Additionally, conducted error analysis discussion ensure credibility our results. presented graphical form provided comments each figure along effects studied. Consequently, concluded power low is essential factor affecting flow's behavior, nanofluid's velocity, temperature, concentration.

Language: Английский

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Symmetry‐based analysis of nonlinear mixed convection in 3D EMHD nano‐Carreau fluid flow with Riga stretched surface effects and multi‐physical interactions

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Journal Year: 2024, Volume and Issue: 104(9)

Published: July 17, 2024

Abstract This study presents a comprehensive investigation into the dynamics of an electrically magneto‐hydrodynamic (EMHD) nano‐Carreau fluid under nonlinear mixed convection. We develop 3D steady‐state framework that incorporates various influential factors such as nonuniform heat source‐sink terms, thermal radiation, Joule heating, and chemical reactions, along with effects Riga stretched surface. Through rigorous analysis, we explore impact thermophoretic Brownian motions on flow patterns stagnation point velocities. Our encompasses scenarios involving stretching sheet, EMHD phenomena, porous media, suction‐injection processes, diverse slip conditions (momentum, heat, volume fractions), in conjunction reactions. By employing symmetry transformations, transform complex partial differential equations (PDEs) more manageable ordinary (ODEs), facilitating effective numerical solutions using Lobatto IIIa bvp4c method Matlab. The findings are presented through detailed graphical representations comparative tables. Key include observation elevated Hartmann numbers contribute to reduced velocity yet enhanced temperature profiles, influenced by distribution, viscous dissipation. Additionally, concentration profiles exhibit diminishing trend increased Lewis numbers, specific parameters.

Language: Английский

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Magnetohydrodynamic convection in a heat-generating ferrofluid within a corrugated cavity containing a rotating cylinder

Physics of Fluids, Journal Year: 2024, Volume and Issue: 36(7)

Published: July 1, 2024

This study introduces a novel approach by combining magnetohydrodynamic flow with Joule heating effects to investigate the conjugate mixed convective of ferrofluid in non-homogenously warmed wavy-walled squared-shaped chamber spinning cylindrical object positioned at center chamber. The current seeks maximize heat transmission effectiveness scrutinizing optimum system attributes and conducting entropy production analysis. Numerical solutions are achieved employing Galerkin finite element weighted residual solve two-dimensional Navier–Stokes energy equations representing mathematical model. parametric alterations encompass Grashof (103 ≤ Gr 106), Reynolds (31.62 Re 1000), Hartmann (5.623 Ha 31.623) numbers, volumetric generation coefficient (0 Δ 10), thermal conductivity ratio (K = 20.07, 95.14), corrugation frequency (6.5 f 8.5), dimensionless amplitude (0.02 A 0.04), cylinder diameter (0.3 D 0.5). assesses characteristics source generated within computational domain while considering varying amplitude, diameter, conductivity, strength magnetism, generation. findings quantitatively showcased through Nusselt number hot wall, mean fluid temperature, overall production, performance criterion (TPC) across domain. After extensive analysis, it is evident that minimum (= 0.3), 6.5), 0.02) maximum 95.14) ensure optimal performance. Surprisingly, incorporating interior diminishes significantly increasing TPC. Understanding impacts magnetic field, heating, on offers key perceptions into temperature variation, transport, velocity profile, irreversible loss numerous engineering applications.

Language: Английский

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Triple-diffusive free convection enhancement at the stagnation point on moving sheet under the influence of hall effect and mass flux

Advances in Mechanical Engineering, Journal Year: 2024, Volume and Issue: 16(3)

Published: March 1, 2024

This study seeks to examine the impact of convective heat transfer, buoyancy ratios, hall current effect, nonlinear thermal radiation, Schmidt number, Prandtl number and mass flux condition on temperature profiles, velocity profiles concentration profiles. The research explores into transfer characteristics a stagnation point flow free triple diffusion with considerations for boundary constraints radiation over mobile vertical plate. To elucidate aims methodology, utilizes similarity transformation convert governing partial differential equations set ordinary equations. Numerical solutions are obtained employing fourth-order Runge-Kutta shooting strategy. findings, showcased through graphical representations, unravel intricate interplay parameters, shedding light distribution, temperature, These quantitative results not only enhance our scientific understanding fluid dynamics but also hold practical implications across diverse sectors. Notably, acquired insights poised benefit fields such as environmental science engineering, where optimizing processes is paramount. thus contributes valuable perspectives both theoretical framework its real-world applications.

Language: Английский

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AI-based predictive approach via FFB propagation in a driven-cavity of Ostwald de-Waele fluid using CFD-ANN and Levenberg–Marquardt

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

Published: May 14, 2024

The integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques into computational science has ushered in a new era innovation efficiency various fields, with particular significance fluid dynamics (CFD). Several methods based on AI have been standardized many fields science, including This study aims to couple CFD artificial neural networks (ANNs) predict the forces that arise when flowing interacts obstacles installed flow domain. momentum equation elucidating simulated by adopting finite element method (FEM) for range rheological kinematic conditions. Hydrodynamic forces, pressure drop between back front obstacle, surface drag, lift variations, are measured outer cylinder via simulations. data subsequently fed Feed-Forward Back (FFB) propagation network prediction such completely unknown data. For all cases, higher predictivity is achieved drag coefficient (CD) (CL) since mean square error (MSE) within ± 2% determination (R) approximately 99% cases. influence pertinent parameters like power law index (n) Reynolds number (Re) velocity, pressure, coefficients also presented limited Moreover, significant reduction computing time noticed while applying hybrid CFD-ANN approach as compared simulations only.

Language: Английский

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