A novel exploration of how localized magnetic field affects vortex generation of trihybrid nanofluids

Nanotechnology Reviews, Journal Year: 2023, Volume and Issue: 12(1)

Published: Jan. 1, 2023

Abstract Nanofluidics have better thermal properties than regular fluids, which makes them useful for heat transfer applications. This research investigated the complex dynamics of confined magnetic forces that influence rotation nanostructures and vortex formation in a tri-hybrid nanofluid (Ag, Al 2 O 3 , TiO ) flow regime. The study shows field can change nanofluidic, depending on its direction strength. also provides insights into physics transfer, help design devices use nanofluids more efficiently cooling electronics, harvesting solar energy, generating power from fuel cells. We used single-phase model to while governing partial differential equations were solved numerically. An alternating-direction implicit approach has been employed analyze impact fields properties. Unlike previous studies assumed uniform fields, we introduced multiple form horizontal vertical strips. Using our custom MATLAB codes, systematically examined various parameters, including strength, number strips their position, nanoparticle volume fraction, assess effects characteristics. Our findings revealed Lorentz force induced spinning nanoparticles, resulting complicated structure within In absence field, single symmetric be seen field. However, introduction sources stretches this until it splits two smaller, weaker vortices lower cavity, rotating clockwise or counterclockwise. Furthermore, strength significantly reduces both skin friction Nusselt number, Reynolds numbers mainly affect number.

Language: Английский

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Experimental Investigation of the Effects of Grooves in Fe2O4/Water Nanofluid Pool Boiling

Fluids, Journal Year: 2024, Volume and Issue: 9(5), P. 110 - 110

Published: May 8, 2024

In this study, we systematically explored how changing groove surfaces of iron oxide/water nanofluid could affect the pool boiling heat transfer. We aimed to investigate effect three types grooves, namely rectangular, circular, and triangular, on The goal was improve transfer performance by consciously surface structure. Comparative analyses were conducted with deionized water provide valuable insights. Notably, coefficient (HTC) exhibited a significant increase in presence grooves. For water, HTC rose 91.7% 48.7% circular rectangular grooved surfaces, respectively. Surprisingly, triangular-grooved showed decrease 32.9% compared flat surface. On other hand, displayed intriguing trends. for diminished 89.2% 22.3% triangular while circular-grooved notable 41.2% HTC. These results underscore complex interplay between geometry, fluid properties, enhancement nanofluid-based boiling. Hence, thoroughly examine underlying mechanisms elements influencing these observed patterns research. important insights further developments area shedding light changes geometry may greatly systems.

Language: Английский

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Cutting-Edge Machine Learning Techniques for Accurate Prediction of Agglomeration Size in Water–Alumina Nanofluids

Symmetry, Journal Year: 2024, Volume and Issue: 16(7), P. 804 - 804

Published: June 27, 2024

Nanoparticle agglomeration is one of the most problematic phenomena during nanofluid synthesis by a two-step procedure. Understanding and accurately estimating size crucial, as it significantly affects nanofluids’ properties, behavior, successful applications. To best our knowledge, literature has not yet applied machine learning methods to estimate alumina in water-based nanofluids. So, this research employs range models—Random Forest, Adaptive Boosting, Extra Trees, Categorical Multilayer Perceptron Neural Networks—to predict sizes end, comprehensive experimental database, including 345 nanofluids, compiled from 29 various sources literature, utilized train these models monitor their generalization ability testing stage. The based on multiple factors: concentration, ultrasonic time, power, frequency, temperature, surfactant type pH levels. relevancy test Pearson method clarifies that Al2O3 water primarily depends concentration water, concentration. Comparative analyses numerical graphical techniques reveal Boosting model surpasses others simulating complex phenomenon. It effectively captures intricate relationships between key features size, achieving an average absolute relative deviation 6.75%, error 12.83%, correlation coefficient 0.9762. Furthermore, applying leverage data helps identify two measurements within database. These results validate effectiveness contribute broader goal enhancing understanding control thereby aiding improving practical

Language: Английский

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Numerical investigation of combined convective heat transfer using fractal barriers in a circular cavity filled with nanofluid

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 105614 - 105614

Published: Dec. 1, 2024

Language: Английский

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Research on Pipeline-Type Power Frequency Electromagnetic Heating System and Multi-Layer Winding Based Power Regulation Method

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 105525 - 105525

Published: Nov. 1, 2024

Language: Английский

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