Thermal and Flow Characteristics of Alumina Nanofluids in Microfluidic Systems: A Low-Concentration Study DOI Creative Commons

Lingenthiran Samylingam,

Navid Aslfattahi, K. Kadirgama

et al.

Journal of Advanced Research in Numerical Heat Transfer, Journal Year: 2024, Volume and Issue: 28(1), P. 131 - 144

Published: Dec. 18, 2024

Microfluidic technologies and nanofluids represent a synergistic combination with significant potential for enhancing heat transfer thermal management applications. This study investigates the flow characteristics of 0.001 wt.% alumina (Al₂O₃)-water nanofluid within custom-designed serpentine microfluidic channel. The was prepared characterized its conductivity, viscosity, specific heat, density. Experimental studies, supplemented by numerical simulations, were conducted to evaluate fluid's behavior under controlled conditions. Results indicated slight increase in conductivity Al₂O₃ compared pure water, increments ranging from 0.16% at 20°C 0.30% 80°C, attributed enhanced Brownian motion nanoparticles. Viscosity measurements revealed marginal increases, suggesting minimal impact on fluid dynamics. experiments demonstrated consistent pressure gradient laminar regime, essential precise control efficient management. Temperature contours showed effective dissipation, steady inlet outlet. concludes that low-concentration can enhance performance systems without significantly affecting characteristics, making them suitable applications requiring such as electronic cooling chemical reactions. These findings provide foundation future research into higher nanoparticle concentrations different base fluids, aimed optimizing properties environments. integration holds promise advancing reliability next-generation systems.

Language: Английский

Underlying Developments in Hydrogen Production Technologies: Economic Aspects and Existent Challenges DOI

Lingenthiran Samylingam,

Navid Aslfattahi, Chee Kuang Kok

et al.

Korean Journal of Chemical Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 31, 2024

Language: Английский

Citations

7
Characterization and machine learning analysis of hybrid alumina-copper oxide nanoparticles in therminol 55 for medium temperature heat transfer fluid DOI Creative Commons

G. Kadirgama,

D. Ramasamy, K. Kadirgama

et al.

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

Citations

0
Advancements and challenges in numerical analysis of hydrogen energy storage methods: Techniques, applications, and future direction DOI
K. Kadirgama,

Lingenthiran Samylingam,

Navid Aslfattahi

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 125, P. 67 - 85

Published: April 8, 2025

Language: Английский

Citations

0
Unveiling the Future: A simulation and Analysis of Hydrogen Production using 1kW Electrolyzer with MATLAB Approach DOI Creative Commons

Chong Tak Yaw,

Johnny Koh Siaw Paw,

K. Kadirgama

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103460 - 103460

Published: Nov. 1, 2024

Language: Английский

Citations

2
Forced Convection Flow of Nanofluid Within a Partially Filled Porous Straight Channel DOI Creative Commons
Bashar Mahmood Ali

Journal of Advanced Research in Numerical Heat Transfer, Journal Year: 2024, Volume and Issue: 27(1), P. 66 - 84

Published: Nov. 30, 2024

The present study examines the impact of nanoparticle flow and migration on heat transfer within a linear channel containing partially porous medium. comprehensive exploration forced convective nanofluids in is not yet fully addressed existing literature, presenting significant open research area requiring further investigation. modeled using Finite Element Method (FEM) for steady flow, assuming thermal equilibrium between solid phases nanofluid. A non-uniform distribution nanoparticles assumed, leading to interdependence volume fraction equation governing equations. thorough analysis has been conducted various parameters, including Darcy number Reynolds number. findings indicate direct relationship Nusselt number, with increases resulting higher numbers. Additionally, an increase leads

Language: Английский

Citations

0
Thermal and Flow Characteristics of Alumina Nanofluids in Microfluidic Systems: A Low-Concentration Study DOI Creative Commons

Lingenthiran Samylingam,

Navid Aslfattahi, K. Kadirgama

et al.

Journal of Advanced Research in Numerical Heat Transfer, Journal Year: 2024, Volume and Issue: 28(1), P. 131 - 144

Published: Dec. 18, 2024

Microfluidic technologies and nanofluids represent a synergistic combination with significant potential for enhancing heat transfer thermal management applications. This study investigates the flow characteristics of 0.001 wt.% alumina (Al₂O₃)-water nanofluid within custom-designed serpentine microfluidic channel. The was prepared characterized its conductivity, viscosity, specific heat, density. Experimental studies, supplemented by numerical simulations, were conducted to evaluate fluid's behavior under controlled conditions. Results indicated slight increase in conductivity Al₂O₃ compared pure water, increments ranging from 0.16% at 20°C 0.30% 80°C, attributed enhanced Brownian motion nanoparticles. Viscosity measurements revealed marginal increases, suggesting minimal impact on fluid dynamics. experiments demonstrated consistent pressure gradient laminar regime, essential precise control efficient management. Temperature contours showed effective dissipation, steady inlet outlet. concludes that low-concentration can enhance performance systems without significantly affecting characteristics, making them suitable applications requiring such as electronic cooling chemical reactions. These findings provide foundation future research into higher nanoparticle concentrations different base fluids, aimed optimizing properties environments. integration holds promise advancing reliability next-generation systems.

Language: Английский

Citations

0