Prediction model and optimization framework for dryout threshold based on vertical micropillar architecture

• Gravity-capillary model for vertical micropillar evaporators predicts 3.9 kW/cm2. • High predictive accuracy: 3.7% error (uniform heat flux); ∼10% error (hotspots). • Optimal spacing ratio (∼0.35) maximizes heat-fluid coupling efficiency. • Framework guides high-performance wick design across diverse heat flux conditions. The escalating power density and localized hot spots in modern electronics necessitate advanced thermal management solutions. This study introduces a groundbreaking gravity-capillary coupled model for vertical micropillar-based vapor chambers, leveraging their capillary self-pumping and phase-change cooling capabilities to surpass conventional horizontal designs. The model achieves exceptional predictive accuracy, with errors of 3.7% for uniform heat flux and approximately 10% for hot spot conditions, enabling precise determination of dryout thresholds. An optimal spacing ratio of ∼0.35 yields a dryout heat flux of 3.9 kW/cm 2 . By integrating gravity-capillary theory with geometric optimization, this work establishes a comprehensive framework that elucidates heat-fluid coupling mechanisms in vertical evaporators, providing a robust foundation for designing high-performance thermal management systems under diverse heat flux scenarios.

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Publication Details

Journal
Results in Engineering
Published
2026-02-25
DOI
https://doi.org/10.1016/j.rineng.2026.109751
Primary Topic
Textile materials and evaluations
Type
article
Field-Weighted Citation Impact
0.00
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article

Prediction model and optimization framework for dryout threshold based on vertical micropillar architecture

Jiaxing Hao, Feng Jiao, Wenyuan Mao, Fei Chen et al.
Results in Engineering
Textile materials and evaluations
article

Prediction model and optimization framework for dryout threshold based on vertical micropillar architecture

Jiaxing Hao, Feng Jiao, Wenyuan Mao, Fei Chen, Yongqing He
article en

Abstract

• Gravity-capillary model for vertical micropillar evaporators predicts 3.9 kW/cm2. • High predictive accuracy: 3.7% error (uniform heat flux); ∼10% error (hotspots). • Optimal spacing ratio (∼0.35) maximizes heat-fluid coupling efficiency. • Framework guides high-performance wick design across diverse heat flux conditions. The escalating power density and localized hot spots in modern electronics necessitate advanced thermal management solutions. This study introduces a groundbreaking gravity-capillary coupled model for vertical micropillar-based vapor chambers, leveraging their capillary self-pumping and phase-change cooling capabilities to surpass conventional horizontal designs. The model achieves exceptional predictive accuracy, with errors of 3.7% for uniform heat flux and approximately 10% for hot spot conditions, enabling precise determination of dryout thresholds. An optimal spacing ratio of ∼0.35 yields a dryout heat flux of 3.9 kW/cm 2 . By integrating gravity-capillary theory with geometric optimization, this work establishes a comprehensive framework that elucidates heat-fluid coupling mechanisms in vertical evaporators, providing a robust foundation for designing high-performance thermal management systems under diverse heat flux scenarios.

Results in EngineeringVol. 29
Kunming University of Science and Technology (CN), Southeast University (BD), Southeast University (CN)
Openalex Percentile: Top 46%
Textile materials and evaluations
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