Capillary performance of strut-based lattice wicks fabricated using laser powder bed fusion
Bibliographic record
Abstract
Laser powder bed fusion (LPBF) can be used to fabricate porous wicks with customized geometries for two-phase heat transport devices such as heat pipes; LPBF enables integration of these wicks into any two-phase transport device form factor in a single manufacturing step. Strut-based wicks with four different unit-cell geometries (simple cubic, body-centered cubic, face-centered cubic, and fluorite) with different porosities were designed and fabricated using LPBF. The capillary performance of the wicks was characterized using the mass rate-of-rise (m-t) method and quantified in terms of the ratio of permeability to effective pore radius ( K/r eff ). Both unit-cell geometry and porosity significantly affect the capillarity of these strut-based wicks, with K/r eff ranging from 0.05 to 1.43 μm, which is commensurate with conventional sintered metal wicks. This is due to a relatively high permeability, ranging from 39 μm 2 to 788 μm 2 , and an effective pore radius ranging from 233 μm to 1022 μm. The simple cubic 52 % and 65.1 % porous wicks exhibited the highest capillary performance with a K/r eff of 1.43 μm and 1.31 μm, respectively. These results suggest that modifying the LPBF process for finer feature resolution could result in higher capillarity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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".