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Record W2321580221 · doi:10.2514/6.2009-5294

An Ejector Air Intake Design Method for a Novel RBCC Rocket Nozzle

2009· article· en· W2321580221 on OpenAlexaff
Timothy Waung, Jason Etele

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicComputational Fluid Dynamics and Aerodynamics
Canadian institutionsCarleton University
Fundersnot available
KeywordsInjectorNozzleAerospace engineeringRocket (weapon)Automotive engineeringEnvironmental scienceAeronauticsEngineeringComputer scienceMechanical engineering

Abstract

fetched live from OpenAlex

An air intake design methodology for a novel rocket nozzle geometry is presented. The novel rocket nozzle is intended for use in rocket based combined cycle vehicles (RBCC) and thus incorporates openings for air intakes. The intake geometry, which consists of a center body, a cowl, and fairings, is designed to minimize total pressure losses while maximizing mass ∞ow rate through the nozzle openings. Six geometric design parameters are required to fully deflne the intake geometry. A ∞ow analysis, which combines an axisymmetric inviscid panel method and an integral boundary layer method, is used to predict the air intake performance based on mass ∞ow rate. Initial comparisons between the ∞ow analysis and 3D numerical simulations show mass ∞ow rate predictions within 4.72% of the 3D numerical simulations.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.428
Threshold uncertainty score0.540

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 head0.016
GPT teacher head0.271
Teacher spread0.255 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations10
Published2009
Admission routes1
Has abstractyes

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