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Record W7161762183 · doi:10.82308/50167

Development and analysis of sulfur based McGill heat pipe

2007· dissertation· en· W7161762183 on OpenAlexaboutno aff
Zhao, Hujun, 1972-

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicHeat Transfer and Boiling Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHeat pipeHeat fluxWork (physics)Loop heat pipePressure dropFlow (mathematics)Critical heat fluxSulfur

Abstract

fetched live from OpenAlex

The development of a mid-temperature range (250°C--500°C) heat pipe for high heat flux applications has been the focus of numerous researchers during the last 40 years. However, until this work a viable working substance for the heat pipe has eluded researchers. While the most mentioned element has been sulfur, its unusual viscosity-temperature relationship has prevented the commercialization of a sulfur-based heat pipe. The recent development (and patenting) of the McGill heat pipe revived the question of whether sulfur would be viable in such a unit. Extensive testing showed that it is possible to make a high heat flux heat pipe with sulfur as the working substance. Given the lack of scientific details about the McGill heat pipe, a focused research program was undertaken to quantify the operation of the McGill heat pipe prior to studying the sulfur based unit. One study looked at the two-phase flow characteristics of the McGill heat pipe. Both qualitative (videos) and quantitative data like the pressure drop and returning velocity were measured as a function of gas flow rate. Moreover, a new non-dimensional parameter, the modified swirler number was proposed. Further, the Lockhart-Martinelli method was used to analyze the pressure drop. In the McGill heat pipe, the centrifugal force that is produced by the vortexing flow pushes liquid up against the walls and increases the critical heat flux. A theoretical model consisting of 4 sub-models was developed to predict the critical heat flux for defined situations. The development of the sulfur-based heat pipe followed the empirical and mathematical modeling work that was carried out. A McGill heat pipe with sulfur as the working substance was designed, built and tested. The design was arrived at by considering the modeling work that was originally carried out. A number of interesting features were discovered with the sulfur-based heat pipe. A model based on mass, energy, and flow balances between the condenser and the evaporator was also developed. The model can be used to calculate the void fraction, quality, wall temperature, local heat flux distribution, heat load, cooling flow rate, and working substance temperature. The experimental results fit well the calculated ones.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.538
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.260
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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