Thermodynamic analysis of shell and tube heat exchanger by using AgNO3-Graphene/H2O hybrid nanofluid

Heat and Mass Transfer, Journal Year: 2025, Volume and Issue: 61(3)

Published: Feb. 27, 2025

Language: Английский

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Thermophysical and stability analysis of rapeseed oil-based nanofluids

Journal of Dispersion Science and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: April 29, 2025

Language: Английский

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Analyzing Heat Transfer: Experimental and Theoretical Studies on Metal Oxide-Based Binary Nanofluid in Mini Hexagonal Tube Heat Sink

International Journal of Thermophysics, Journal Year: 2024, Volume and Issue: 45(9)

Published: Aug. 19, 2024

Language: Английский

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Thermal Conductivity Characterization of High Oleic Vegetable Oils Based Hybrid Nanofluids Formulated Using GnP, TiO2, MoS2, Al2O3 Nanoparticles for MQL Machining

International Journal of Thermophysics, Journal Year: 2024, Volume and Issue: 45(12)

Published: Nov. 23, 2024

Language: Английский

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Stability Optimization of Al2O3/SiO2 Hybrid Nanofluids and a New Correlation for Thermal Conductivity: An AI-Supported Approach

International Journal of Thermophysics, Journal Year: 2024, Volume and Issue: 46(1)

Published: Dec. 18, 2024

Language: Английский

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Optical, dielectric, and rheological properties of EG-Al2O3/AgNO3 nanofluids: Insights and advances in multifunctional materials for soft device technologies

Hybrid Advances, Journal Year: 2024, Volume and Issue: unknown, P. 100319 - 100319

Published: Oct. 1, 2024

Language: Английский

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Experimental Investigation of Hybrid Nanofluid Use in Automobile Cooling System and the Effect of New Front Grille Design on Cooling Load

International Journal of Thermophysics, Journal Year: 2024, Volume and Issue: 45(11)

Published: Nov. 1, 2024

Language: Английский

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Experimental Investigation and Specific Heat Capacity Prediction of Graphene Nanoplatelet-Infused SAE10W Oil Using Artificial Neural Networks

Periodica Polytechnica Chemical Engineering, Journal Year: 2024, Volume and Issue: 68(3), P. 437 - 445

Published: Aug. 2, 2024

This research aims to develop an artificial neural network (ANN) model predict the specific heat capacity (SHC) of graphene/SAE10W oil nanofluid. An experimental investigation SHC graphene nanoplatelets infused in SAE10W was carried out using a thermal constant analyzer. In testing volume percentage and fluid temperature range vary from 0.05 0.15 293 K 353 K, respectively. The data shows nanofluid exhibited reduction relative base fluid. ANN developed During training, correlation coefficient mean square error 0.999 6.592 × 10 –6 were achieved, Compared values, predicts with 0.45 percentage. Additionally, mathematical has been nanofluids curve fitting. obtained showed excellent all ±0.42. Hence, it is concluded that both models provide optimal approach for estimating their SHC.

Language: Английский

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Exploring the formation of plasmonic silver nanoparticles and wide range optical energy bandgaps in ion conducting EG-SiO2/AgNO3 hybrid nanofluids for broader functionalities

Optik, Journal Year: 2024, Volume and Issue: unknown, P. 172195 - 172195

Published: Dec. 1, 2024

Language: Английский

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