Heat transfer analysis for cooling discrete heat source in microchannel equipped with flexible baffles using Al2O3-Cu /water hybrid nanofluid

Numerical simulations are conducted to study heat transfer and flow dynamics in a microchannel with three constant-temperature heat sources (Left, Middle, and Right) and flexible baffles. The left and right heat sources are placed above baffles that align with fluid flow. Hybrid Al 2 O 3 -Cu nanoparticles are employed to improve thermal performance, with the effects of Reynolds number (Re), nanoparticle concentration (ϕ), Young's modulus (E), and baffle orientation systematically analyzed. The Middle heat source demonstrates superior thermal efficiency, achieving a peak heat transfer coefficient of 51.285 kW/m 2 ·K at ϕ = 5 %, Re = 60, and E = 200 kPa. The difference in heat transfer efficiency between the left and right sources is induced by the effect of the orientation of the baffles relative to the fluid flow in the channel. Higher Reynolds numbers improve convection, leading in a 34.8 % improvement in the Middle Source over lower Re values. The increasing of nanoparticle concentration from 0 % to 5 % improves the efficiency of heat transfer by 10 % for the left source. Intermediate baffle flexibility improves disturbance generation and maintain a stable structure and flow mixing. These results offer important prospects for the development of microchannel systems for innovative cooling applications in electronics.

Authors

Institutions

Publication Details

Journal
Case Studies in Thermal Engineering
Published
2025-05-01
DOI
https://doi.org/10.1016/j.csite.2025.106241
Citations
5
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
3.37

Funders

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

Heat transfer analysis for cooling discrete heat source in microchannel equipped with flexible baffles using Al2O3-Cu /water hybrid nanofluid

Karim Kriaa, Chemseddine Maatki
5 citations
Case Studies in Thermal Engineering
Nanofluid Flow and Heat Transfer
3.37
article

Heat transfer analysis for cooling discrete heat source in microchannel equipped with flexible baffles using Al2O3-Cu /water hybrid nanofluid

Karim Kriaa, Chemseddine Maatki
article en
5 citations

Abstract

Numerical simulations are conducted to study heat transfer and flow dynamics in a microchannel with three constant-temperature heat sources (Left, Middle, and Right) and flexible baffles. The left and right heat sources are placed above baffles that align with fluid flow. Hybrid Al 2 O 3 -Cu nanoparticles are employed to improve thermal performance, with the effects of Reynolds number (Re), nanoparticle concentration (ϕ), Young's modulus (E), and baffle orientation systematically analyzed. The Middle heat source demonstrates superior thermal efficiency, achieving a peak heat transfer coefficient of 51.285 kW/m 2 ·K at ϕ = 5 %, Re = 60, and E = 200 kPa. The difference in heat transfer efficiency between the left and right sources is induced by the effect of the orientation of the baffles relative to the fluid flow in the channel. Higher Reynolds numbers improve convection, leading in a 34.8 % improvement in the Middle Source over lower Re values. The increasing of nanoparticle concentration from 0 % to 5 % improves the efficiency of heat transfer by 10 % for the left source. Intermediate baffle flexibility improves disturbance generation and maintain a stable structure and flow mixing. These results offer important prospects for the development of microchannel systems for innovative cooling applications in electronics.

Case Studies in Thermal EngineeringVol. 71
Imam Mohammad ibn Saud Islamic University (SA)
Al-Imam Muhammad Ibn Saud Islamic University
Affordable and clean energy
Openalex Percentile: Top 8%
Nanofluid Flow and Heat Transfer
3.37
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.