Optik, Journal Year: 2024, Volume and Issue: unknown, P. 172195 - 172195
Published: Dec. 1, 2024
Language: Английский
Optik, Journal Year: 2024, Volume and Issue: unknown, P. 172195 - 172195
Published: Dec. 1, 2024
Language: Английский
Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 100, P. 113638 - 113638
Published: Sept. 11, 2024
Language: Английский
Citations
25Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 256, P. 124125 - 124125
Published: Aug. 8, 2024
Language: Английский
Citations
13Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 63, P. 105388 - 105388
Published: Oct. 31, 2024
Language: Английский
Citations
8Journal of Physics and Chemistry of Solids, Journal Year: 2025, Volume and Issue: unknown, P. 112557 - 112557
Published: Jan. 1, 2025
Language: Английский
Citations
0The International Journal of Advanced Manufacturing Technology, Journal Year: 2025, Volume and Issue: 136(10), P. 4141 - 4174
Published: Jan. 31, 2025
Language: Английский
Citations
0Journal of Thermal Analysis and Calorimetry, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 21, 2025
Language: Английский
Citations
0Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 126100 - 126100
Published: March 1, 2025
Language: Английский
Citations
0Journal of Thermal Analysis and Calorimetry, Journal Year: 2025, Volume and Issue: unknown
Published: March 6, 2025
Language: Английский
Citations
0Scientific 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
Citations
0Journal 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
Citations
0