Enhanced thermal study in hybrid nanofluid flow in a channel motivated by graphene/Fe3O4 and Newtonian heating

Results in Engineering, Journal Year: 2024, Volume and Issue: 21, P. 101772 - 101772

Published: Jan. 17, 2024

The significance of advanced hybrid type nanofluids cannot be avoided because their multiple heat transport applications. These are not only in applied thermal, mechanical, chemical engineering but also use as coolant for nuclear reactors, paint, medical sciences and manufacturing various home products. dynamical study fluid characteristics inside a channel with slowly expanding/contracting walls is fascinating research topic. Therefore, the key aims this to formulate nanoliquid model using graphene Fe3O4 nanoparticles. Further, physical effects practical interest like Joule heating, magnetic field merged model. After that, numerical tool used solve it then demonstrated results via graphical aid. shown that when nanoparticles amount taken from 0.01 % 0.06 density changes 1.00042 1.00252 (nanofluid), 1.00067 1.00277 (hybrid) 1.00025 1.0015 (nano), 1.00125 1.0025 (hybrid). In similar way, thermal conductance boosted (nano) 1.00085 1.0021 For elongating (α=2.0,4.0,6.0,8.0), velocity increased examined maximum at center. absorber (S=0.1,0.2,0.3,0.4) highly controlled motion particles η=−1.0 η=1.0 accelerates inconsequentially. high energy dissipation, radiations (Rd=0.1,0.3,0.5,0.7) Re1=0.1,0.2,0.3,0.4 augmented temperature mechanism nano, simple fluids.

Language: Английский

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Application of activation energy and Joule heating with variable viscosity on MHD flow of trihybrid nanofluid over a disk

International Communications in Heat and Mass Transfer, Journal Year: 2024, Volume and Issue: 155, P. 107573 - 107573

Published: May 13, 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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Effects of double diffusion and induced magnetic field on convective flow of a Casson nanofluid over a stretching surface

Heliyon, Journal Year: 2024, Volume and Issue: 10(10), P. e31040 - e31040

Published: May 1, 2024

Magnetohydrodynamic (MHD) flows have several applications in a wide area of engineering such as industrialized processes, including generating MHD electrical power, processing magnetic materials, etc. The present examination focuses on incorporating the induced field (IMF) and multiple slips convective Casson nanofluid flow over an elongating sheet with Brownian motion thermophoresis effects. Heat source/sink, non-linear radiation, suction/injection impacts are added to strengthen study. governing equations framed above assumptions converted from PDE ODE using suitable transformation. MATLAB solver "bvp5c" is engaged solve results depicted through graphs tables. Moreover, good agreement found while comparing these pre-existing results. It established that increase fluid parameter diminishes fluid's velocity. Also, plays vital role decreasing speed fluid. Further, double-diffusive parameters, temperature rises. As chemical process Schmidt number elevate, concentration drops. velocity slip both enhance skin friction. Nusselt rises when Prandtl gets larger. This investigation makes major contributions reactor safety devices, crystal growth liquids, chemical-catalyzed reactors, geophysics, solar technology,

Language: Английский

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Significance of thermal radiation on 3D thermo-bioconvection flow of trihybrid nanofluid with thermophoresis and electrophoresis

Journal of Radiation Research and Applied Sciences, Journal Year: 2025, Volume and Issue: 18(2), P. 101476 - 101476

Published: April 2, 2025

Language: Английский

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Tribological properties of CNT-filled epoxy-carbon fabric composites: Optimization and modelling by machine learning

Journal of Materials Research and Technology, Journal Year: 2023, Volume and Issue: 28, P. 2582 - 2601

Published: Dec. 24, 2023

Polymer matrix composites reinforced with fibers/fillers are extensively used in several tribological components of automotive and boating applications. The mechanical performance polymer improves by incorporating nanofillers as secondary reinforcement. present research work fabricated carbon fabric-reinforced epoxy using the hand layup. were 0.1 wt%, 0.2 0.5 wt% nanotubes (CNT) fillers Tribological properties filled CNT have been carried out a pin‐on‐disc method. Adding significantly behaviour reducing wear rate coefficient friction. large surface area interaction due to higher aspect ratio shows improved adhesion between fabrics. It various characteristics composites—also, an analysis worn surfaces is analyze mechanisms scanning electronic microscopy. employs combination experimental analyses machine learning (ML) techniques explore resistance, hardness, predictive modeling volume loss composites. hyperparameter fine-tuning ML algorithms, including Random Forest (RF), k-Nearest Neighbors (KNN), XGBoost, demonstrates superior capabilities, particularly RF. study bridges material science, ML, practical applications, contributing valuable insights for developing advanced composite materials.

Language: Английский

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Sodium alginate-based MHD ternary nanofluid flow across a cone and wedge with exothermic/endothermic chemical reactions: A numerical study

Numerical Heat Transfer Part A Applications, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 20

Published: May 22, 2024

The use of magnetohydrodynamic ternary nanofluid flow for heat transfer is essential in various industrial and commercial applications. This work examines over cone wedge shapes with Sodium Alginate-based flow, considering the effects activation energy exothermic/endothermic processes. Using similarity transformations, controlling set partial differential equations converted into a network interconnected nonlinear ordinary equations. Numerical solutions using Runge-Kutta Fehlberg 4th 5th order method shooting approach offer insights several dimensionless factors. outcomes show that magnetic field parameter crucial lowering fluid velocity within more efficiently than wedge. Due to considerations, shape notably impacts transmission exothermic reactions, but geometry effective endothermic reactions. Concentration profiles rise fall increasing chemical reaction rates. rate thermal distribution 48.68% case 35.57% while mass higher geometry, about 7.83% 19.27% case. present study has many applications, including optimizing processes sectors such as systems, generation, electronics. Additionally, it may be used guide design magnetically affected systems provide assistance uses engineering.

Language: Английский

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AI-Neural Networking Analysis (NNA) of Thermally Slip Magnetized Williamson (TSMW) fluid flow with heat source

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 56, P. 104248 - 104248

Published: March 13, 2024

The thermal case study is conducted by using artificial intelligence to examine the heat transfer traits in Williamson fluid flow with source and slip effects. field interacts externally applied magnetic velocity additionally considered at surface. formulated terms of energy momentum equations. All inputs (Prandtl number, field, slip, Weissenberg number) are represented a 4 × 72 matrix samples Nusselt number 1 matrix. randomly divided into three stages: 70%(50) for training, 15%(11) each validation testing. neurons set ten. To train neural networking model, Levenberg-Marquardt algorithm employed. best performance noticed 5.9676e-08. This indicates that network was successfully trained predict NN magnetized For generation parameters, magnitude temperature higher non-magnetic field. Further, admits declining trend while it shows inciting values Prandtl number.

Language: Английский

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Advanced Computational Framework to Analyze the Stability of Non-Newtonian Fluid Flow through a Wedge with Non-Linear Thermal Radiation and Chemical Reactions

Mathematics, Journal Year: 2024, Volume and Issue: 12(10), P. 1420 - 1420

Published: May 7, 2024

The main idea of this investigation is to introduce an integrated intelligence approach that investigates the chemically reacting flow non-Newtonian fluid with a backpropagation neural network (LMS-BPNN). AI-based LMS-BPNN utilized obtain optimal solution MHD Eyring–Powell over porous shrinking wedge heat source and nonlinear thermal radiation (Rd). partial differential equations (PDEs) define problems are transformed into system ordinary (ODEs) through efficient similarity variables. reference obtained bvp4c function by changing parameters as displayed in Scenarios 1–7. label data divided three portions, i.e., 80% for training, 10% testing, validation. used approximate using activation within MATLAB built-in command ‘nftool’. consistency uniformity supported fitness curves based on MSE, correlation index (R), regression analysis, fit. best validation performance at 462, 369, 642, 542, 215, 209, 286 epochs MSE values 8.67 × 10−10, 1.64 10−9, 1.03 302 9.35 8.56 1.08 6.97 respectively. It noted f′(η), θ(η), ϕ(η) satisfy boundary conditions asymptotically 1–7 LMS-BPNN. dual solutions outcomes (Cfx, Nux, Shx) investigated concluded when magnetohydrodynamics increase (M=0.01, 0.05, 0.1), then bifurcates different critical values, λc=−1.06329,−1.097,−1.17694. stability analysis conducted approximation, involving computation eigenvalues problem. deduction drawn upper (first) branch remains stable, while lower causes disturbance leads instability. observed layer thickness (second) greater than first solution. A comparison numerical results predicted provided they found be good agreement.

Language: Английский

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Enhanced heat transfer rate on the flow of hybrid nanofluid through a rotating vertical cone: a statistical analysis

Partial Differential Equations in Applied Mathematics, Journal Year: 2024, Volume and Issue: 11, P. 100825 - 100825

Published: July 17, 2024

The recent study needs the optimal conditions for maximizing heat transfer rate with minimizing energy consumption. This is a basic objective of several industries in their production processes along improving efficiency electronic gadgets. Therefore, hybrid nanofluid plays an important role enhancing transport phenomena. current investigates improved properties water-based containing Al2O3 and Cu nanoparticles flowing through rotating vertical cone embedded porous medium. convective flow enhanced by magnetic field thermal radiation, contributing to complexity dynamics. However, dimensional physical quantities are transformed non-dimensional parameters implementation suitable similarity rules. Furthermore, equations numerically solved using fourth-order Runge-Kutta shooting method. Henceforth, get rate, robust statistical technique called response surface methodology (RSM) validation hypothetical test organized analysis variance. parametric behavior conducted via graphs description presented briefly. Further, major outcomes are: both particle concentrations attenuate axial velocity whereas fluid temperature enhances significantly. Increasing radiative augments phenomena observation reveals that case nanofluids overrides nanofluids.

Language: Английский

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