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Gas leakage model of a spacecraft

2025· article· en· W4413786003 on OpenAlexaboutno aff
Cao Xian, Yongzhe Li, Yanbin Dai, Zhigang Feng

Bibliographic record

VenueJournal of Physics Conference Series · 2025
Typearticle
Languageen
FieldEngineering
TopicSpacecraft and Cryogenic Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsSpacecraftLeakage (economics)Environmental scienceAerospace engineeringComputer scienceAstrobiologyEngineeringPhysics

Abstract

fetched live from OpenAlex

Abstract In order to study the gas leakage process of spacecraft when the hole forms due to space debris impact, this paper uses different approximation levels to construct the model from the perspective of macroscopic gas flow. The ideal incompressible gas single outlet model uses Torricelli’s theorem and the ideal gas equation of state to analyse the transient gas flow in the hole by assuming that the instantaneous density of the gas flowing through the hole does not change. On the basis of the incompressible model, the ideal compressible gas single outlet model is solved by considering the compressibility of the gas, and according to the relationship between the flow velocity and pressure in the critical flow state of the gas, combined with the ideal gas equation of state. Based on the area-velocity equation, the ideal compressible gas Laval nozzle model analyses the relationship between pressure, temperature, flow velocity, and other parameters during supersonic flow for the Laval nozzle shape opening. These three models are gradually advanced from simple to complex, from idealized to close to reality, which provides theoretical support for the study of spacecraft air leakage.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.408
Threshold uncertainty score0.426

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 head0.017
GPT teacher head0.223
Teacher spread0.206 · 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
Published2025
Admission routes1
Has abstractyes

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