Efficient Chip-Integrated Microfluidic Cooling Through Jet-Enhanced Manifold Microchannels

With the continuous miniaturization of logic and power electronics resulting in hotspot heat flux up to 1000 <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathrm{w}/\text{cm}^{2}$</tex>, ultra-high heat-flux dissipation has become the bottleneck of their performance in various applications. To address this challenge, we propose a novel jet-enhanced manifold microchannel (JMMC), with microchannels topologically optimized for improved cooling efficiency. The manifold configuration was optimized by numerical computation, and the microchannels was generated without a predefined structural topology. A regular pin-fin, and an optimized design were then manufactured by combining 3D printing and micro-fabrication, without the need for complex bonding or double-side etching process. Our experimental results indicate that the optimized layout can reduce the junction-to-fluid thermal resistance by 18%, and suppress the temperature gradients by over 44<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup> when compared to conventional pin-fin design. Further analysis demonstrates that the present cooling strategy achieves similar performance to state-of-art monolithic manifold microchannels with simpler architectures. The proposed optimized JMMCs could be easily scaled to large-footprint processors, and hold great potential for the thermal management of electronics.

Authors

Institutions

Publication Details

Published
2025-09-24
DOI
https://doi.org/10.1109/therminic65879.2025.11216871
Primary Topic
Heat Transfer and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficient Chip-Integrated Microfluidic Cooling Through Jet-Enhanced Manifold Microchannels

Ibrahim O. Elhagali, Elison Matioli
Heat Transfer and Optimization
article

Efficient Chip-Integrated Microfluidic Cooling Through Jet-Enhanced Manifold Microchannels

Ibrahim O. Elhagali, Elison Matioli
article en

Abstract

With the continuous miniaturization of logic and power electronics resulting in hotspot heat flux up to 1000 <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathrm{w}/\text{cm}^{2}$</tex>, ultra-high heat-flux dissipation has become the bottleneck of their performance in various applications. To address this challenge, we propose a novel jet-enhanced manifold microchannel (JMMC), with microchannels topologically optimized for improved cooling efficiency. The manifold configuration was optimized by numerical computation, and the microchannels was generated without a predefined structural topology. A regular pin-fin, and an optimized design were then manufactured by combining 3D printing and micro-fabrication, without the need for complex bonding or double-side etching process. Our experimental results indicate that the optimized layout can reduce the junction-to-fluid thermal resistance by 18%, and suppress the temperature gradients by over 44<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup> when compared to conventional pin-fin design. Further analysis demonstrates that the present cooling strategy achieves similar performance to state-of-art monolithic manifold microchannels with simpler architectures. The proposed optimized JMMCs could be easily scaled to large-footprint processors, and hold great potential for the thermal management of electronics.

École Polytechnique Fédérale de Lausanne (CH)
Openalex Percentile: Top 66%
Heat Transfer and Optimization
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.