Non Linear Thermal Radiation Analysis of Electromagnetic Chemically Reacting Ternary Nanofluid Flow over a Bilinear Stretching Surface
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Résumé
• The research explores the effects of magnetic fields, rotation, and thermal radiation on three-dimensional boundary layer flow in ternary nanofluids. • Increasing nanoparticle volume fraction leads to a 0.50% enhancement in heat transfer in Model-1. • Model-1 and Model-2 demonstrate impressive heat transfer rate increases of 29.01% and 29.12%, respectively. • Model-2 achieves a reliability score of 99.15%, validating the methodologies used in the study. Background The study investigates three-dimensional boundary layer flow in a reactive, rotating nanomaterial liquid, emphasizing non-linear thermal diffusion and radiation effects over a stretchable surface influenced by a Lorentz force. Water serves as the base fluid, with nanoparticles of silver (Ag), molybdenum disulfide (MoS₂), and copper (Cu) incorporated to enhance thermal conductivity. Rotational effects are introduced by a system rotating around a vertical axis at a constant angular velocity (⍵*). Such configurations are of significant interest in thermal management systems, heat exchangers, and other industrial applications. Motivation The increasing demand for advanced heat transfer mechanisms has driven interest in hybrid and ternary nanofluids due to their superior thermal properties compared to conventional fluids. This study aims to contribute to this growing field by analyzing the combined effects of magnetic fields, rotation, and thermal radiation on the flow and heat transfer behavior in nano materials. These insights are critical for optimizing heat transfer systems in energy, manufacturing, and engineering sectors. Aim and Objective The research seeks to analyze heat,velocity and concentration transfer rates in a three-dimensional flow system with two thermo physical models.The study focuses on the effects of magnetic field strength (M), stretching ratio (λ), Radiation parameter (R) and rotational parameter (γ) on heat transfer and fluid flow. Methodology The governing nonlinear partial differential equations (PDEs) are transformed into ordinary differential equations (ODEs) using similarity transformations. The numerical solutions are obtained using the BVP4C method and the shooting technique. MATLAB is employed to compute and graphically represent the results, including profiles for velocity, temperature, and concentration, along with Nusselt (Nu) and Sherwood (Sh) numbers. Results and Conclusions The analysis reveals that key parameters, such as magnetic field strength, stretching ratio, and rotational effects, significantly influence heat transfer and flow characteristics. In Model-1 , the percentage increase in heat transfer due to an increase in nanoparticle volume fraction (ϕ₂) is approximately 0.50%, while in Model-2 , it is around 0.35%. For the stretching ratio, Model -1 shows a transfer rate increase of about 29.01%, while Model -2 shows an increase of approximately 29.12%.Radiation effects expand the momentum layer and enhance the primary velocity in both cases. Model 2 demonstrates higher accuracy and efficiency for practical applications. Residual analysis confirms model reliability, with Model-1 at 98.73 % and Model-2 at 99.15%. These findings inform parameter optimization in heat transfer applications, particularly in thermal management systems and heat exchangers.
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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 | 0,001 | 0,002 |
| 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 découle