Bibliographic record
Abstract
A heat pipe is a heat transfer device of very high thermal conductance that features two-phase flow. Research at McGill University has led to the development of the McGill Heat Pipe which includes an internal flow modifier. Such a heat pipe can be operated at very high heat fluxes. This area of heat pipe technology has potential in many applications in metallurgical industries. This thesis describes how the McGill heat pipe was developed, tested, modeled and applied in high heat flux situations. Until the development of the McGill Heat Pipe, three main issues had prevented the successful use of heat pipe technology in high heat flux applications. These relate to limitations imposed by film boiling, dry-out, and the structure of the flow. The McGill Heat Pipe has successfully addressed and overcome these limitations. To overcome film boiling and dry-out, a flow modifier was developed. The structure of the flow was changed by introducing a reservoir and a return line. This thesis describes some of the work that is being carried out to develop and evaluate families of flow modifiers, or spiral springs. Results from a number of high flux experiments will be detailed and the effects of the flow modifiers for each case will be described. In addition, the velocity of the return water was visualized with magnesium alloy chips and was measured with a video camera. Comparisons of the operation of the heat pipe both with and without a flow modifier are presented. This is the first study of its kind in which a transparent glass return line and particles were used to visualize the liquid flow in the return line of the heat pipe.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".