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Record W4225905900 · doi:10.2514/1.b38659

Evaluation of a Paraffin/Nitrous Oxide Hybrid Rocket Motor with a Passive Mixing Device

2022· article· en· W4225905900 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Propulsion and Power · 2022
Typearticle
Languageen
FieldEngineering
TopicRocket and propulsion systems research
Canadian institutionsUniversity of Calgary
FundersCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
KeywordsMixing (physics)CombustionMaterials scienceBaffleNitrous oxidePropellantCombustion chamberMass fluxWork (physics)MechanicsNuclear engineeringAutomotive engineeringEnvironmental scienceAerospace engineeringChemistryThermodynamicsPhysicsEngineering

Abstract

fetched live from OpenAlex

Hybrid rockets offer numerous advantages over other types of rockets but tend to suffer from low combustion efficiency. Higher efficiency can be achieved by using passive devices in the combustion chamber that promote additional mixing of unreacted propellants. The current work examines a paraffin and nitrous oxide hybrid motor that uses a mixing device located downstream of the fuel grain to enhance combustion efficiency. The mixing device used in this work is a six-port baffle plate. Combustion efficiency, as measured by characteristic velocity, was found to increase by over 40% with the use of the passive mixing device. It was identified that certain high-mass-flux motor configurations resulted in unstable motor operation when the mixing device was present. Experimental results indicate that stable combustion occurs for oxidizer mass flux levels below . Exceeding this limit results in combustion oscillations in excess of 20% of the mean chamber pressure.

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.

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.829
Threshold uncertainty score0.346

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.024
GPT teacher head0.274
Teacher spread0.250 · 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