Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 8(7)
Published: July 1, 2024
Language: Английский
Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 8(7)
Published: July 1, 2024
Language: Английский
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
Citations
46Thermal Science and Engineering Progress, Journal Year: 2024, Volume and Issue: 50, P. 102529 - 102529
Published: March 15, 2024
Language: Английский
Citations
29Alexandria 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
Citations
20Journal of Mathematical Chemistry, Journal Year: 2024, Volume and Issue: 62(7), P. 1727 - 1778
Published: June 5, 2024
Language: Английский
Citations
15Applied 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
Citations
11Journal of Thermal Analysis and Calorimetry, Journal Year: 2024, Volume and Issue: unknown
Published: April 30, 2024
Language: Английский
Citations
6Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 105531 - 105531
Published: Nov. 1, 2024
Language: Английский
Citations
5ZAMM ‐ 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
Citations
0ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Journal Year: 2025, Volume and Issue: 105(5)
Published: April 25, 2025
Abstract This study presents a novel investigation into the heat and mass transfer in fully developed Carreau fluid flow within an inclined microchannel. Unlike traditional analyses, this work considers combined effects of Hall current, space/temperature‐dependent properties, binary chemical reactions, radiative flux, offering more comprehensive understanding microchannel transport. To strengthen work, velocity slip convective boundary conditions are incorporated. By applying suitable transformation constraints, governing equations converted system ordinary differential equations, which subsequently solved using Runge–Kutta–Fehlberg fourth‐ fifth‐order method. The graphs provide detailed analysis impact physical parameters on concentration, temperature, velocity, providing new insights optimization systems. results show that thermal field is significantly enhanced with increase parameter, leading to overall improvement system's performance. It demonstrated concentration decreases reaction rate, while it increases activation energy, Additionally, drag force presence rate higher Biot number.
Language: Английский
Citations
0High Temperature Materials and Processes, Journal Year: 2024, Volume and Issue: 43(1)
Published: Jan. 1, 2024
Abstract This article mainly scrutinizes the heat transfer and flow characteristics of a mixed convection ternary hybrid nanofluid in porous microchannel considering catalytic chemical reaction nonuniform absorption/generation. Using appropriate similarity transformations, modeled equations are converted into reduced ones then solved via Runge–Kutta–Fehlberg 4th/5th order method. To strengthen this analysis, mechanism has been deployed. The effect pertinent physical parameters on fluid motion thermal field is displayed, including some important engineering variables like Nusselt number, Sherwood drag force. novel outcomes display that reduces with permeability nanoparticle volume fraction. temperature improves concentration decreases presence both homogeneous heterogeneous intensities. rate enhances for Eckert similar influence mass noticed parameters. Further, force declines Grashof number. show that, all cases, shows greater impact than nanofluid. attained findings represent applications era cooling heating systems, engineering, energy production.
Language: Английский
Citations
2