Numerical Study of Nanofluid-Based Cooling in Porous-Finned Enclosures
Notice bibliographique
Résumé
Thermal management remains a critical challenge in compact, high-power electronic devices, where conventional cooling methods that use base fluids often prove inadequate.This study proposes a numerical investigation of laminar mixed convection in cubical enclosures integrating nanofluids, porous media, and solid fins to enhance heat dissipation.The work employs an in-house computational code in C, solving the biharmonic formulation of the Navier-Stokes equations on a nonuniform grid [1] to resolve complex flow and thermal interactions between multiple domains: a nanofluid (e.g., Al2O3/water), a porous base layer, and three vertically mounted solid fins coated with porous material.Nanofluids, suspensions of nanoparticles typically consisting of 100-1000 atoms dispersed in base fluids, exhibit enhanced thermal conductivity with a reduced likelihood of microchannel clogging due to their sub-micron scale [2].In addition, their lower particle momentum minimizes erosion risks compared to larger additives [3].The thermophysical properties essential for modelling nanofluid behaviour, such as thermal conductivity and viscosity, are derived from established correlations that consider variations in particle size, concentration, and temperature [3].These properties are crucial for simulations aimed at optimizing heat transfer while reducing the flow resistance caused by viscosity.The solver addresses conjugate heat transfer across fluid, porous, and solid zones under thermal equilibrium conditions.Active cooling was modelled via inlet/outlet flow, whereas the biharmonic approach improved the numerical stability for high Reynolds and Richardson number flows.A nonuniform grid ensures precise resolution of the boundary layers near fins and porous interfaces.Key parameters include nanoparticle concentration (0-5% vol.), porous permeability (Darcy number: 10 -5 -10 -2 ), and fin geometry.The study evaluates heat transfer rates, velocity fields, and entropy generation to assess thermodynamic efficiency.The findings of this research enhance our understanding of how nanofluids interact with porous-finned structures to optimize thermal performance.By substituting traditional fluids [4] with nanofluids, we anticipate that the increased thermal conductivity and micro convection driven by nanoparticles will significantly improve heat transfer.The biharmonic formulation specifically addresses the coupling of stream function and velocity in multi-domain systems, while entropy analysis effectively quantifies the irreversible losses associated with heat exchange, fluid friction, and the influence of nanoparticles.This will help us build more effective cooling by establishing an optimal balance between nanoparticle loading (to prevent viscosity penalties) and fin-porous designs (to enhance surface area utilization).This study introduces a novel computational framework that significantly improves the modelling of conjugate heat transfer in heterogeneous media, providing important insights into the interactions between nanofluids and porous materials, a topic that has been rarely explored in prior studies.Future initiatives will focus on validating these simulations against benchmark cases and experimental data, with applications to electronics, energy systems, and aerospace thermal management.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».