Framing the effect of fitted curved fins' curvature on the flow patterns and entropy analysis of buoyancy-driven magnetized hybrid nanofluidic transport within an annular enclosure

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 100, P. 113638 - 113638

Published: Sept. 11, 2024

Language: Английский

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Energy and exergy analysis of a novel collector design in a photovoltaic thermal system: An experimental study

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 256, P. 124125 - 124125

Published: Aug. 8, 2024

Language: Английский

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Energy and Exergy Analysis of a Newly Designed Photovoltaic Thermal System Featuring Ribs, Petal array, and coiled twisted tapes: Experimental Analysis

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 63, P. 105388 - 105388

Published: Oct. 31, 2024

Language: Английский

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Nanoparticle-based lubrication during machining: synthesis, application, and future scope—a critical review

The International Journal of Advanced Manufacturing Technology, Journal Year: 2025, Volume and Issue: 136(10), P. 4141 - 4174

Published: Jan. 31, 2025

Language: Английский

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Experimental study of thermal conductivity of SWCNT–TiO2–CuO (10:70:20)/water ternary hybrid nanofluid (THNF) and providing a new equation using response surface methodology

Journal of Thermal Analysis and Calorimetry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 21, 2025

Language: Английский

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Effects of the curved fins on the entropy analysis and hydrothermal variations of Buoyancy-driven MWCNT-Fe3O4-H2O hybrid nanofluid flow within an annular enclosure

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 126100 - 126100

Published: March 1, 2025

Language: Английский

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Thermohydraulic performance augmentation and heat transfer enhancement of automotive radiators using nano-coolants: a critical review

Journal of Thermal Analysis and Calorimetry, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Language: Английский

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Characterization and machine learning analysis of hybrid alumina-copper oxide nanoparticles in therminol 55 for medium temperature heat transfer fluid

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 11, 2025

Abstract Efficient heat dissipation is crucial for various industrial and technological applications, ensuring system reliability performance. Advanced thermal management systems rely on materials with superior conductivity stability effective transfer. This study investigates the conductivity, viscosity, of hybrid Al 2 O 3 -CuO nanoparticles dispersed in Therminol 55, a medium-temperature transfer fluid. The nanofluid formulations were prepared CuO-Al mass ratios 10:90, 20:80, 30:70 tested at nanoparticle concentrations ranging from 0.1 wt% to 1.0 wt%. Experimental results indicate that nanofluids exhibit enhanced maximum improvement 32.82% concentration, compared base However, viscosity increases loading, requiring careful optimization practical applications. To further analyze predict Type-2 Fuzzy Neural Network (T2FNN) was employed, demonstrating correlation coefficient 96.892%, high predictive accuracy. integration machine learning enables efficient modeling complex behavior, reducing experimental costs facilitating optimization. These findings provide insights into potential application solar systems, exchangers, cooling

Language: Английский

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Nanofluids and engineering applications: A review

Journal of Scientific Reports-A, Journal Year: 2025, Volume and Issue: 060, P. 126 - 149

Published: March 25, 2025

With the development of technology, search for advanced materials has accelerated. Nanomaterials have emerged as an important material group in this and found a place themselves many different areas. Nanofluids, which are formed by dispersing nanoparticles basic liquids such water, ethylene glycol, or oils, very innovative method applications nanoparticles. They also wide range applications. The improved thermophysical properties nanofluids made research area engineering. Nanofluids gained unique area, especially cooling lubrication systems due to their higher thermal conductivity, viscosity, convective heat transfer compared traditional liquids. hold promises solar energy systems, defense industry nuclear plants, biomedical applications, automotive, aviation industries where efficient is important. It been shown that use processing processes increases product quality minimizes wear. Despite these benefits, problems stability, cost, long-term performance continue. These challenges continue be investigated with focus on optimizing nanoparticle concentration, developing dispersion methods, analyzing environmental impact nanofluids. Computational experimental studies will help understand flow behavior under operating conditions. aim paper review existing nanofluid studies. provides overview current developments field engineering, focusing functions transfer, industrial processes.

Language: Английский

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Solar Energy Storage Optimization Using Fractional Derivative Simulations of Maxwell Hybrid Nanofluid Flow: Entropy Generation Analysis

Energy Science & Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

ABSTRACT This attempt examines the heat transfer enhancement from unsteady bioconvective Maxwell nanofluid flow under incidence of solar radiation influenced by viscous dissipation and chemical reaction through a porous medium. The contains silver titanium alloy hybrid nanoparticles with gyrotactic micro‐organisms in ethylene glycol water‐based fluid. fundamental governing equations are formulated simulated novel fractional derivative approach. time‐fractional derivatives approximated Atangana–Baleanu Caputo solution approach discretized using Crank–Nicolson type finite differences scheme. Graphical results present outcomes diverse physical parameters for concentration, temperature, velocity profile. primary revealed that bioconvection diffusion declines as escalate, this definition gives an excellent approximation time derivative. temperature profile enhanced increased parameter, whereas concentration decreases parameter. resulting provides well‐balanced blend thermal efficiency, uniformity, operational flexibility would be impossible to achieve single base fluid complementary properties water. characteristic contributes improved efficiency collectors. Optimizing absorption collectors is essential improving performance reduce energy losses.

Language: Английский

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