On investigation of capillary and pressure involved working constrains for water-driven and sintered-powder heat pipes using a semi-empirical model

Heat pipes are efficient heat spreaders commonly used for thermal management in various energy and electronic systems. A heat pipe works based on phase change processes and capillary/pressure-driven circulation of working fluid. However, dryout can occur when the circulation collapses (e.g., liquid flows against gravity or excessive heat input), leading to failure. This paper proposes a semi-empirical model for water-driven and sintered-powder heat pipes to address the correlations among acceleration (gravity), length, heat input, wick porosity, wick thickness, and vapor core diameter. Additionally, this paper uses analysis of variance (ANOVA) to analyze the influence of these parameters of interest on the maximum acceleration load and critical heat input a heat pipe can handle. The proposed model is verified by comparing with experimental data from the literature, and the results show good agreement. To maximize the possible working acceleration field, the ANOVA suggests that a heat pipe should be short and wide (large diameter), operate with a low heat input, and use a thick wick with low porosity. On the other hand, to boost the critical heat input, the ANOVA suggests that a heat pipe should be short and wide (large diameter), and use a thick wick with high porosity.

Authors

Institutions

Publication Details

Journal
Case Studies in Thermal Engineering
Published
2024-11-19
DOI
https://doi.org/10.1016/j.csite.2024.105526
Citations
2
Primary Topic
Heat Transfer and Optimization
Type
article
Field-Weighted Citation Impact
0.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On investigation of capillary and pressure involved working constrains for water-driven and sintered-powder heat pipes using a semi-empirical model

Tsrong-Yi Wen, Yu‐Ren Lin
2 citations
Case Studies in Thermal Engineering
Heat Transfer and Optimization
0.43
article

On investigation of capillary and pressure involved working constrains for water-driven and sintered-powder heat pipes using a semi-empirical model

Tsrong-Yi Wen, Yu‐Ren Lin
article en
2 citations

Abstract

Heat pipes are efficient heat spreaders commonly used for thermal management in various energy and electronic systems. A heat pipe works based on phase change processes and capillary/pressure-driven circulation of working fluid. However, dryout can occur when the circulation collapses (e.g., liquid flows against gravity or excessive heat input), leading to failure. This paper proposes a semi-empirical model for water-driven and sintered-powder heat pipes to address the correlations among acceleration (gravity), length, heat input, wick porosity, wick thickness, and vapor core diameter. Additionally, this paper uses analysis of variance (ANOVA) to analyze the influence of these parameters of interest on the maximum acceleration load and critical heat input a heat pipe can handle. The proposed model is verified by comparing with experimental data from the literature, and the results show good agreement. To maximize the possible working acceleration field, the ANOVA suggests that a heat pipe should be short and wide (large diameter), operate with a low heat input, and use a thick wick with low porosity. On the other hand, to boost the critical heat input, the ANOVA suggests that a heat pipe should be short and wide (large diameter), and use a thick wick with high porosity.

Case Studies in Thermal EngineeringVol. 64
National Taiwan University of Science and Technology (TW)
Clean water and sanitation
Openalex Percentile: Top 41%
Heat Transfer and Optimization
0.43
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.