Optimizing entropy production in bi-diffusive convection within trapezoidal Porous enclosure using radiative trihybrid nanofluids and T-shaped baffle

European Journal of Mechanics - B/Fluids, Год журнала: 2025, Номер unknown, С. 204268 - 204268

Опубликована: Апрель 1, 2025

Язык: Английский

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Machine learning-enhanced analysis of liquid nitrogen spreading on superheated walls: An artificial neural network-based investigation

Thermal Science and Engineering Progress, Год журнала: 2025, Номер unknown, С. 103392 - 103392

Опубликована: Фев. 1, 2025

Язык: Английский

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Computational Investigation of Heat Transfer and Fluid Flow in a NEPCM-Filled Cavity with Sinusoidal Porous Layer: Influence of Magnetic Field and Exothermic Reactions

Case Studies in Thermal Engineering, Год журнала: 2025, Номер unknown, С. 106013 - 106013

Опубликована: Март 1, 2025

Язык: Английский

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Heat and mass transfer in wavy star-shaped cavities with nano-enhanced phase change material: numerical simulation and machine learning applications

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

Опубликована: Март 17, 2025

Purpose This study aims to investigate coupled heat and mass transfer processes in a wavy star-shaped cavity filled with nano-enhanced phase change materials (NEPCMs) porous media. It examines the influence of magnetic fields chemical reactions on transport phenomena explores role key parameters such as amplitude (A), frequency (f), Darcy number (Da), Hartmann (Ha), thermal radiation (Rd), Rayleigh (Ra), Soret (Sr) Dufour (Du) numbers. Design/methodology/approach The investigation uses incompressible smoothed particle hydrodynamics (ISPH) method, integrated an extreme gradient boosting (XGBoost) machine learning model, solutal transport. Periodic boundary conditions are imposed inner circular cylinder’s temperature concentration, modeled sinusoidal oscillations simulate dynamic sources. Findings results demonstrate that increasing parameter enhances gradients by 50% concentration 30%, whereas higher intensify velocity 40%. Low numbers significantly reduce permeability, leading 40% decrease transfer. Magnetic suppress convective transport, reducing peak average Nusselt (Nu_avg) Sherwood (Sh_avg) 30%. XGBoost model predictions align closely ISPH simulations, showing high accuracy for Nu_avg Sh_avg metrics. Originality/value provides comprehensive analysis interplay between physical NEPCM-filled cavities under conditions. integration numerical methods predictive understanding complex processes, contributing valuable insights design efficient systems. Future research directions include exploring multi-phase effects optimize performance further.

Язык: Английский

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Coupling effects, regulation mechanisms and applications of thermal-fluid-magnetic in composite phase change systems: A comprehensive review

Journal of Energy Storage, Год журнала: 2025, Номер 118, С. 116200 - 116200

Опубликована: Март 18, 2025

Язык: Английский

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Enhanced webbed-tubes thermal storage unit for solar heaters

Results in Engineering, Год журнала: 2025, Номер 26, С. 104750 - 104750

Опубликована: Апрель 3, 2025

Язык: Английский

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Enhanced natural convection in a U-shaped baffled cavity: Synergistic effects of magnetic fields and wall oscillations on Nano-encapsulated PCM

International Communications in Heat and Mass Transfer, Год журнала: 2025, Номер 165, С. 109051 - 109051

Опубликована: Май 9, 2025

Язык: Английский

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Transition to chaotic flow, bifurcation, and entropy generation analysis inside a stratified trapezoidal enclosure for varying aspect ratio

Chinese Journal of Physics, Год журнала: 2024, Номер 91, С. 867 - 882

Опубликована: Авг. 26, 2024

Язык: Английский

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