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Record W3121360950 · doi:10.22215/etd/2016-11262

Numerical Investigation of a Novel RBCC Ejector Configuration Compared to a Traditional Circular Ejector

2016· dissertation· en· W3121360950 on OpenAlexaff
Adrian Gerber

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsCarleton University
FundersJapan Aerospace Exploration AgencyNational Aeronautics and Space Administration
KeywordsInjectorNozzleEntrainment (biomusicology)Conical surfaceInletMechanicsMixing (physics)EngineeringMaterials scienceMechanical engineeringEnvironmental sciencePhysicsAcoustics

Abstract

fetched live from OpenAlex

The rocket based combined cycle can be an alternative engine to power a vehicle into space. The engine has 4 stages and one of the more challenging stages to increase performance is the first stage, the ejector stage. One proposed method to increase performance is by achieving higher entrainment performance and mixing at low free-stream velocities. The Exchange Inlet is used as an alternative nozzle to achieve this performance. The Exchange Inlet is compared to a conical nozzle within a RBCC engine with computational fluid dynamics at various pressures. The mixing and entrainment properties are compared between the two engine configurations and additional cases are investigated with shorter mixing sections to further investigate these properties. The Exchange Inlet is found to have better entrainment than the circular nozzle in all cases.

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 categoriesMeta-epidemiology (narrow)
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 score0.184
Threshold uncertainty score1.000

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)0.0010.000

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 head0.034
GPT teacher head0.241
Teacher spread0.207 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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