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High-speed Particle Image Velocimetry Near Surfaces
Published on: June 24, 2013
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Two-Phase Particle Image Velocimetry Visualization of Rewetting Flow on the Micropillar Interfacial Surface
Hyeon Taek Nam1, Hyung Hee Cho2, Seungro Lee1,3
1Department of Mechanical Engineering, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 54896, Republic of Korea.
ACS Applied Materials & Interfaces
|June 22, 2024
Summary
Micropillar structures enhance critical heat flux (CHF) for electronic cooling by improving fluid supply via increased rewetting flow. This study introduces a novel CHF model with 94% prediction accuracy.
Area of Science:
- Heat Transfer
- Fluid Dynamics
- Materials Science
Background:
- Boiling heat transfer is crucial for efficient electronic cooling.
- Critical heat flux (CHF) limits boiling applications.
- Enhancing fluid supply to the boiling surface can increase CHF.
Purpose of the Study:
- To investigate micropillar interfacial surfaces for CHF enhancement.
- To analyze the CHF enhancement mechanism by measuring rewetting flow.
- To develop a new CHF model based on rewetting parameters.
Main Methods:
- Utilized a two-phase particle image velocimetry (PIV) technique for rewetting flow measurement.
- Employed micropillar structures (MPSs) with varying roughness.
- Compared MPS performance against a plain surface.
Main Results:
- MPS samples showed enhanced CHF and rewetting flows.
- The D04G10 sample achieved 1.84 times higher CHF than the plain surface.
- Wicking-induced flow contributed significantly to CHF enhancement.
Conclusions:
- Micropillar structures effectively enhance CHF by increasing rewetting flow.
- A new CHF model incorporating rewetting parameters demonstrates high prediction accuracy (94%).
- Optimized surface structures are key for advanced cooling solutions.

