Thermal Behavior and Visualization of Electrochemical Additive Manufactured Copper Lattice Wicks in a Flat Heat Pipe
Bibliographic record
Abstract
This study investigates the thermal-hydraulic performance of electrochemical additive manufactured (ECAM) copper wicks in the context of a flat heat pipe during operation. Compared to other metal additive technologies (e.g., laser powder bed fusion), the ECAM fabrication technology employed here enables the creation of significantly smaller and more well-defined geometries and features, resulting in wicks that generate higher capillary pressure while simultaneously being more permeable. Three strut-based body-centered cubic (BCC) lattice wicks were fabricated with strut diameters of approximately 139 µm. The porosities of the wicks (43%, 56.5%, and 67.7%) were varied by altering the BCC unit-cell size. Heat was applied at the evaporator end using a flat ceramic heater (1.9 x 1.9 cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>). The condenser end was in contact with a 2.5 x 1.9 cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> water block for cooling. The wick samples were assembled with an acrylic cover for visualization purposes. The thermal performance of HFE-7100 as the working fluid was investigated. Various fluid loadings were analyzed to obtain the optimum filling ratio that achieved the lowest total thermal resistance. The effect of varying the heat pipe angle (0⁰, 30⁰, 60⁰, and 90⁰) was examined. Comparisons are made to different conventional and unconventional wick types listed in the literature and show that the proposed wick designs and manufacturing techniques can improve the thermal-hydraulic performance of heat pipes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".