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Record W1213426171

Numerical simulation of cantilevered ramp injector flow fields for hypervelocity fuel/air mixing enhancement

2000· dissertation· en· W1213426171 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTSpace (University of Toronto) · 2000
Typedissertation
Languageen
FieldEngineering
TopicRocket and propulsion systems research
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsHypervelocityInjectorAerospace engineeringMixing (physics)CantileverComputer simulationMechanicsEngineeringAutomotive engineeringFlow (mathematics)PhysicsMechanical engineering
DOInot available

Abstract

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Increasing demand for affordable access to space and high speed terrestrial transport has spawned research interest into various air-breathing hypersonic propulsion systems.Propulsion concepts such as the supersonic combustion ramjet (scramjet) and the shoc k-induced combustion ramjet (shcramjet) utilize oxygen fieely available in the atmosphere and thereby substantially rediice the weight penalty of on-board oxidizer tankage used in rocket based systems.Of key irnportance to the ultimate success of an air-breathing concept is the ability to eficiently mix the fuel with atmospheric air.In the case of a hypersonic air-breather the challenge is accentuated due to the requirement of supersonic combustion.Flow velocities through the combustor on the order of thousands of meters per second provide the fuel and air with only a brief time to adequately combine.Contemporary mixing augmentation methods to address this issue have focused on fuel injection devices which promote axial vortices to enhance the mixing process.Much research effort has been expended on investigation of rarnp injectors for this purpose.The present study introduces a new rarnp injector design, based on the conventional ramp injector, dubbed the cantilevered ramp injector.A two-pronged numencal approach was employed to investigate the mixing performance and characteristics of the cantilevered injector consisting of, 1) cornparison with conventional iii designs and 2), a pararnetric study of various cantilevered injector geometries.A laminar, threedimensional, mu1 tispecies flowsolver was developed in generalized coordinates to solve the Navier-Stokes equations for the flow fields of injected Hz into high-enthalpy air.The scheme consists of an upwind TVD scheme for discretization of the convective fluxes coupled with a semi-implicit LU-SGS scheme for temporal discretization.Through analysis of the numerical solutions, it has been shown that the cantilevered rarnp injector is a viable fuel injection system facilitating enhanced mixing of fiel and air.Comparison with conventional designs have revealed a competitive and, in most cases, superior design in the context of mixing performance.A strong counter-rotating vortex pair generated under the cantilevered injector was shown to be the distinguisbing characteristic of this design and largely accounted for improved mixing performance.Results also elucidated the importance of a coupIed design approach between the fuel injector and propulsive duct to optimize rnixing pedormance. To my parents.I would like to extend sincere

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)0.000
metaresearch head score (Gemma)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.842
Threshold uncertainty score0.994

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)0.0060.000

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 head0.020
GPT teacher head0.273
Teacher spread0.253 · 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