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Record W7084090731 · doi:10.6084/m9.figshare.30227347

[ARTICLE] Cascade Tank Pressurization Method for Satellite-Delivering Rockets (Canadian Applied Physics Journal / 2025)

2025· article· en· W7084090731 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective tissue disorders research
Canadian institutionsnot available
Fundersnot available
KeywordsCabin pressurizationPropellantCascadeRocket (weapon)PipingInstrumentation (computer programming)

Abstract

fetched live from OpenAlex

Satellite-delivering rockets share a common problem --- the dependency of pneumatic systems on electric networks driven by onboard computers that can fail and cripple/render the rocket inert. One such example is the propellant tank's pressurization system. This article presents a novel approach entitled the Cascade Tank Pressurization Method, that solves this problem by iteratively discharging in a domino effect a cluster of composite overwrapped pressure vessels triggered in series. A Piping &amp; Instrumentation Diagram is available. One-dimensional pneumatic analysis conducted on various size clusters show a fine control --- of ullage pressure to a predefined target bandwidth --- without any computer controls. Ultimately, a disruptive fully-pneumatic self-regulated tank pressurization system is presented, enabling the option for a more computer-decoupled rocket architecture.<br><br>The article was recently published in the open-source Canadian Applied Physics Research: https://doi.org/10.5539/apr.v17n2p40-------------------------------------------------------------------------For more public data, please visit my Figshare profile: https://figshare.com/authors/Luis_Teia/10811244

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0030.000

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 head0.029
GPT teacher head0.333
Teacher spread0.305 · 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.

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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