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Record W2740738493

STEADY-STATE AND TRANSIENT LOOP HEAT PIPE PERFORMANCE DURING PERIODIC HEATING CYCLES

2004· article· en· W2740738493 on OpenAlexaboutno aff
Donatas Mishkinis, G. Wang, Darius Nikanpour, Erin MacDonald, Tarik Kaya

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSpacecraft and Cryogenic Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsTransient (computer programming)ThermalSteady state (chemistry)Heat transferLoop heat pipeEngineeringMechanicsControl theory (sociology)Mechanical engineeringHeat pipeEnvironmental scienceComputer scienceControl (management)ThermodynamicsPhysicsChemistry
DOInot available

Abstract

fetched live from OpenAlex

Loop Heat Pipe (LHP), is a high-performance, reliable and flexible heat transfer device, which is of growing interest as a thermal control option for space applications. In order to apply the LHP technology for the thermal control systems of small/micro satellites, the Canadian Space Agency is performing tests to clearly understand the LHP performance and to characterize their operation in space environments aimed at improving the thermal modeling of such devices. Special attention has been paid to the start-ups in different environments, thermal pre-conditions, and variable heating rates. This paper describes the LHP unit test setup at the Canadian Space Agency. The thermal performances tests in both steady state and of transient were conducted, and start-up were observed under variety of conditions and different patterns observed.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.188
Teacher spread0.181 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2004
Admission routes1
Has abstractyes

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Same topicSpacecraft and Cryogenic TechnologiesFrench-language works237,207