Active Control of Electric Field for Enhancing Condensation Heat Transfer on Grooved Surface

Abstract Condensation heat transfer is currently an efficient heat transfer method. To further improve heat transfer coefficient, this study proposes to strengthen condensation heat transfer by relying on an actively adjustable electric field. The research is conducted based on the mesoscopic scale pseudo-potential model coupled with the leakage dielectric model. Four strategies, including no electric field, horizontal placed electric field, vertical placed electric field, and changing direction of electric field, were compared for enhancement on condensation. Then, the effect of switching time, conductivity ratio, dielectric constant ratio, and capillary number on the strategy of changing the electric field direction to enhance condensation was explored. The results show that the strategy of changing the direction of electric field has the best enhancement on condensation, reducing condensation cycle by 21.51% and increasing the overall condensation efficiency by 19.51%. Subsequently, the optimal electric field direction switching strategy was determined when the droplet diameter grew to 45. Immediately following, the optimal electric field intensity switching strategies under different conductivity ratio and dielectric constant ratio were determined, further optimizing the condensation heat transfer efficiency by 27.44%.

Authors

Institutions

Publication Details

Journal
ASME Journal of Heat and Mass Transfer
Published
2026-05-29
DOI
https://doi.org/10.1115/1.4072051
Primary Topic
Electrohydrodynamics and Fluid Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Active Control of Electric Field for Enhancing Condensation Heat Transfer on Grooved Surface

Haizhi Luo, Maize Liu, Y F Li, Youruo Wu et al.
ASME Journal of Heat and Mass Transfer
Electrohydrodynamics and Fluid Dynamics
article

Active Control of Electric Field for Enhancing Condensation Heat Transfer on Grooved Surface

Haizhi Luo, Maize Liu, Y F Li, Youruo Wu, Bengt Sundén, Xiaohu Yang
article en

Abstract

Abstract Condensation heat transfer is currently an efficient heat transfer method. To further improve heat transfer coefficient, this study proposes to strengthen condensation heat transfer by relying on an actively adjustable electric field. The research is conducted based on the mesoscopic scale pseudo-potential model coupled with the leakage dielectric model. Four strategies, including no electric field, horizontal placed electric field, vertical placed electric field, and changing direction of electric field, were compared for enhancement on condensation. Then, the effect of switching time, conductivity ratio, dielectric constant ratio, and capillary number on the strategy of changing the electric field direction to enhance condensation was explored. The results show that the strategy of changing the direction of electric field has the best enhancement on condensation, reducing condensation cycle by 21.51% and increasing the overall condensation efficiency by 19.51%. Subsequently, the optimal electric field direction switching strategy was determined when the droplet diameter grew to 45. Immediately following, the optimal electric field intensity switching strategies under different conductivity ratio and dielectric constant ratio were determined, further optimizing the condensation heat transfer efficiency by 27.44%.

ASME Journal of Heat and Mass Transfer
Lund University (SE), Xi'an Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 9%
Electrohydrodynamics and Fluid Dynamics
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.