Investigation of Al₂O₃:Cu Hybrid Nanofluid Composition in Jet Impingement Cooling: Numerical Analysis

Hybrid nanofluids have emerged as a promising medium for enhancing heat transfer in various cooling systems, particularly in jet impingement cooling applications. This study conducts a numerical analysis of the heat transfer performance of aluminium oxide (Al₂O₃) and copper (Cu) hybrid nanofluids at different mixing ratios (25:75, 50:50, and 75:25) under jet impingement cooling conditions. The research employs computational fluid dynamics (CFD) simulations to investigate the thermophysical properties and heat transfer behaviour of these hybrid nanofluids at a constant nanoparticle concentration of 0.5% by volume. Among the tested compositions, the 50:50 Al₂O₃ mixture demonstrated the highest heat transfer coefficient and surface temperature reduction, improving heat transfer by up to 22.20% compared to pure water. The findings suggest that the balanced thermal properties of this ratio has optimized cooling performance, making it suitable for industrial cooling applications, such as electronics and power systems, where efficient heat dissipation is critical.

Authors

Institutions

Publication Details

Journal
Journal of Advanced Research in Numerical Heat Transfer
Published
2024-12-18
DOI
https://doi.org/10.37934/arnht.28.1.165175
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of Al₂O₃:Cu Hybrid Nanofluid Composition in Jet Impingement Cooling: Numerical Analysis

Nur Syahirah M. Hanafi, Muhammad Imran Sadiq, Wan Aizon Wan Ghopa, Mohd Radzi Abu Mansor et al.
Journal of Advanced Research in Numerical Heat Transfer
Nanofluid Flow and Heat Transfer
article

Investigation of Al₂O₃:Cu Hybrid Nanofluid Composition in Jet Impingement Cooling: Numerical Analysis

Nur Syahirah M. Hanafi, Muhammad Imran Sadiq, Wan Aizon Wan Ghopa, Mohd Radzi Abu Mansor, Hamidon Salleh, Mohd Anas Mohd Sabri
article en

Abstract

Hybrid nanofluids have emerged as a promising medium for enhancing heat transfer in various cooling systems, particularly in jet impingement cooling applications. This study conducts a numerical analysis of the heat transfer performance of aluminium oxide (Al₂O₃) and copper (Cu) hybrid nanofluids at different mixing ratios (25:75, 50:50, and 75:25) under jet impingement cooling conditions. The research employs computational fluid dynamics (CFD) simulations to investigate the thermophysical properties and heat transfer behaviour of these hybrid nanofluids at a constant nanoparticle concentration of 0.5% by volume. Among the tested compositions, the 50:50 Al₂O₃ mixture demonstrated the highest heat transfer coefficient and surface temperature reduction, improving heat transfer by up to 22.20% compared to pure water. The findings suggest that the balanced thermal properties of this ratio has optimized cooling performance, making it suitable for industrial cooling applications, such as electronics and power systems, where efficient heat dissipation is critical.

Journal of Advanced Research in Numerical Heat TransferVol. 28(1)
National University of Malaysia (MY), Tun Hussein Onn University of Malaysia (MY)
Universiti Kebangsaan Malaysia
Openalex Percentile: Top 78%
Nanofluid Flow and Heat Transfer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Investigation of Al₂O₃:Cu Hybrid Nanofluid Composition in Jet Impingement Cooling: Numerical Analysis — Nur Syahirah M. Hanafi, Muhammad Imran Sadiq, et al. · Journal of Advanced Research in Numerical Heat Transfer (2024) | TGRS Research Map | TGRS