Quantitative analysis of Maxwell fluid flow with dual diffusion through the variable porous canonical gap using artificial neural network approach

Colloid & Polymer Science, Год журнала: 2024, Номер 302(9), С. 1423 - 1450

Опубликована: Июнь 21, 2024

Язык: Английский

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Heat and mass transfer in conical gaps with disks rotating: An asymptotic analytical solution for high Prandtl and Schmidt numbers

Physics of Fluids, Год журнала: 2025, Номер 37(1)

Опубликована: Янв. 1, 2025

This study focuses on an approximate analytical solution of the problem laminar heat transfer a fluid in conical gap (rotating disk and fixed cone) with small conicity angles up to 4° for high Prandtl numbers. A recently developed improved asymptotic expansion method energy equation was applied. The characteristic Reynolds number Re took values 0.1, 0.5, 1.0, Pr varied over wide range from 1 3 × 106, whereas exponent n* power law temperature equal 0 (isothermal disk) or 2 (quadratic increase along radius). new obtained using parameter SvT = Re2Δ2Pr (a dimensionless first formulated here). involves relative thickness thermal boundary layer Δ disk, which is less than height. New solutions Nusselt numbers value are good agreement self-similar solution. at 1/3 2/3, respectively. These valid ≥ 7,…,7.65 (with lowest 700). boundaries moderate can be extended Sv ≤ 25, when does not emerge highest 2000). advantageous analysis experimental data mineral oils, convective diffusion electrochemistry.

Язык: Английский

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Energy transfer aspects of chemically reactive Casson fluid between a conical gap of cone-disk system with multiple rotations

Results in Engineering, Год журнала: 2025, Номер 25, С. 104222 - 104222

Опубликована: Янв. 31, 2025

Язык: Английский

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The flow of hybrid nanofluids between nonparallel stretching walls using neural network and control volume finite element method

International Journal of Numerical Methods for Heat &amp Fluid Flow, Год журнала: 2025, Номер unknown

Опубликована: Май 13, 2025

Purpose This study aims to examine how Ag and TiO 2 hybrid nanofluids (HNFs) move through a nonparallel stretching channel improve heat transfer (HT). Design/methodology/approach Stretching walls that converge diverge are responsible for the influence on (Ag ) HNF flow. The absorption omission viscous dissipation characters also included in model increase HT rate. governing equations solved control volume finite element method (CVFEM) using (FEA Tool-Multiphysics) software. Solving transformed is done Wavelet-based physics-informed neural network. Findings behavior of nanoparticle (NP) properties evaluated by presenting results as NP concentration, illustrated streamlines, isotherms average Nusselt numbers. impact parameters such Eckert number, absorption, parameter, Magnetic field, Reynold number shrinking has been observed. statistical analysis revealed an 11.8% improvement HT. (mean squared error) (error normalized observed with best validation A comparison made validate obtained results. Research limitations/implications main contribution stretched concept solution CVFEM unsupervised network, which were not focused earlier converging diverging combination . extension possible case other nanomaterials experimental analysis. Practical implications provides intriguing assess microscopic view crucial thermodynamic processes ultimately lead optimal thermal configuration. Social Renewable energy most important factor human development this investigation focuses sources. Originality/value contributions

Язык: Английский

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Investigation on the amplified thermal diffusion with critical shear rate and thermal jump of second-grade engine oil driven quadra hybrid nanofluid flow: A model-based approach

Hybrid Advances, Год журнала: 2025, Номер unknown, С. 100449 - 100449

Опубликована: Март 1, 2025

Язык: Английский

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A numerical simulation of unsteady dissipative MHD Casson nanofluid transport over an inverted cone with variable heat source/consumption and high order of reacting species

Multiscale and Multidisciplinary Modeling Experiments and Design, Год журнала: 2025, Номер 8(5)

Опубликована: Март 21, 2025

Язык: Английский

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Artificial neural networks framework for investigating Hall and ion slip dynamics in Prandtl nanofluids using non-Fourier heat and mass transfer models

Chaos Solitons & Fractals, Год журнала: 2025, Номер 196, С. 116408 - 116408

Опубликована: Апрель 8, 2025

Язык: Английский

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Entropy Generation and Heat Transfer Analysis of the Hydromagnetic Flow of Three Distinct Viscoelastic Fluids Over a Cone With Soret and Dufour Effects via Machine Learning

Heat Transfer, Год журнала: 2025, Номер unknown

Опубликована: Апрель 15, 2025

ABSTRACT Efficient heat and mass transfer is crucial in fields like energy systems chemical processes, especially when dealing with non‐Newtonian fluids, such as Casson, Maxwell, Williamson. However, the interactions of thermal radiation, Soret, Dufour effects magnetohydrodynamic free convection over a vertical cone have not been thoroughly studied, nor has impact entropy generation on thermodynamic efficiency. This study aims to explore these interactions, focusing how they affect three types fluids. The governing equations are converted into dimensionless forms solved using MATLAB's BVP4C solver, results verified an artificial neural network model. main findings indicate that Casson fluid better characteristics due its lower viscosity at high shear rates. It was also found magnetic can decrease velocity but increase concentration boundary layers, which enhances diffusion Additionally, significantly improve diffusion, analysis highlights their importance for system By combining numerical methods machine learning, this provides useful insights improving systems, reactors, manufacturing processes use

Язык: Английский

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AI driven RNN approach for investigation of thermal features in magneto-radiative nanofluid under random microbial movement

Alexandria Engineering Journal, Год журнала: 2025, Номер 125, С. 152 - 166

Опубликована: Апрель 16, 2025

Язык: Английский

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Darcy–Forchheimer thin film flow of the Carreau nanofluid down an inclined unsteady rotating disk through CVFEM solution and neural computing

Journal of Thermal Analysis and Calorimetry, Год журнала: 2025, Номер unknown

Опубликована: Май 31, 2025

Язык: Английский

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