Deep neural network-based prediction and computational fluid dynamics analysis of convective heat transfer in dusty fluid flow over heated surface

Physics of Fluids, Год журнала: 2025, Номер 37(2)

Опубликована: Фев. 1, 2025

Due to the necessity of creating customized nanomaterial designs, advanced coating processes have been developed on surface an isothermal sphere. To achieve accuracy in these processes, it is necessary understand thermodynamic behavior, rheology materials, and chemical reactions involved. The novelty present research analyzing heat transfer dusty fluid flow over a heated cross section cylinder. We develop mathematical model including factors for both phases demonstrate how affect field. Thermal radiation propagation simulated using Rosseland's flux diffusion model. Equations describing transport magnetic body force are expressed Cartesian coordinate system. A set boundary conditions has established momentum, thermal energy, concentration particles formulate conservation equations Using nonsimilar transform, nonlinear partial differential (PDEs) transformed into dimensionless PDEs. PDSolve technique, PDEs solved. significant factor engineering calculating velocity distributions, mass, transfers, which were results this research. calculation carried out MAPLE 2024, computational software tool. deep neural network program was designed, emphasizes machine learning predicting nature physical phenomena applications. As part validation process proposed research, some statistical metrics taken assess degree error between true values anticipated values. Based presented, presented approach most efficient method predict quantities These therefore recommended development industrial device setups.

Язык: Английский

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Scrutinizing pollutant concentration with variable electrical conductivity and quadratic radiation effects over convective cylinder with zero mass flux and gyrotactic microorganisms

Journal of Radiation Research and Applied Sciences, Год журнала: 2024, Номер 18(1), С. 101256 - 101256

Опубликована: Дек. 17, 2024

Язык: Английский

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Thermally radiative MHD Jeffery-Hamel flow in a convergent-divergent conduit: A hybrid nanofluid fluid model under nanoparticles shape factor impact

Journal of Radiation Research and Applied Sciences, Год журнала: 2025, Номер 18(1), С. 101314 - 101314

Опубликована: Янв. 28, 2025

Язык: Английский

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Robust estimator for estimation of population mean under PPS sampling: Application to radiation data

Journal of Radiation Research and Applied Sciences, Год журнала: 2025, Номер 18(2), С. 101384 - 101384

Опубликована: Март 5, 2025

Язык: Английский

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Analytical solution of Boltzmann-Maxwell PDE for plasma Couette flow among two coaxial rotating cylinders: Novel velocity dependent enhanced collision frequency

Ain Shams Engineering Journal, Год журнала: 2025, Номер 16(7), С. 103392 - 103392

Опубликована: Апрель 18, 2025

Язык: Английский

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AI-enhanced prediction and analysis of heat and mass transfer in NEPCM-filled wavy star-shaped cavities under magnetic, radiative, and chemical influences

Journal of Radiation Research and Applied Sciences, Год журнала: 2025, Номер 18(2), С. 101457 - 101457

Опубликована: Апрель 1, 2025

Язык: Английский

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Thermal and flow characteristics of tetra-hybrid nanofluid over a stretching/shrinking inclined cylinder: Influence of heat absorption and quadratic radiation

Journal of Radiation Research and Applied Sciences, Год журнала: 2025, Номер 18(2), С. 101513 - 101513

Опубликована: Апрель 16, 2025

Язык: Английский

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Deep Learning-driven analysis using artificial neural networks of hydrodynamic and radiative behavior of SAE oil-based hybrid nanofluid over stretching surface

Journal of Radiation Research and Applied Sciences, Год журнала: 2025, Номер 18(3), С. 101588 - 101588

Опубликована: Май 8, 2025

Язык: Английский

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Numerical Simulation of Flow and Heat Transfer Around Diamond‐Shaped Porous Cylinders With Variable Apex Angles at Low Reynolds Numbers

Asia-Pacific Journal of Chemical Engineering, Год журнала: 2025, Номер unknown

Опубликована: Май 14, 2025

ABSTRACT Porous‐fluid systems, which consist of a porous medium structure and flow passing over it, play crucial role in aerospace engineering heat exchanger design. This study aims to investigate the influence geometric parameters properties on transfer characteristics around diamond‐shaped cylinder. A cylinder with variable apex angles (30° ≤ θ 150°) is numerically analyzed two‐dimensional channel using finite element method (FEM). The effect Darcy number (10 −5 Da 10 −2 ), Reynolds Re 40), presence source region are systematically analyzed. Flow visualization based Q criterion highlights regions where vorticity dominates strain rate, providing insight into vortex formation mechanisms. Results show that under specific conditions, increasing angle ( ) from 30° 150° leads 166% increase drag coefficient C d highlighting significant impact geometry resistance. For cases an internal source, mean Nusselt Nu increases decreasing suggesting improved performance. Specifically, at = 40, reducing results 18.5% 28.8% enhancement . Furthermore, this proposes new correlation for derived present simulation results. established ). purpose offering insights optimizing media configurations aerodynamics microchannel designs.

Язык: Английский

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Hybrid Nanofluid Flow Around a Circular Cylinder: A Coupled ANN and Numerical Study of MHD, Bioconvection, and Thermal Radiation

Results in Engineering, Год журнала: 2025, Номер unknown, С. 105435 - 105435

Опубликована: Май 1, 2025

Язык: Английский

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