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Record W7133063705

Numerical simulation of inlet and combustor regions of a real shcramjet flowfield

2005· dissertation· W7133063705 on OpenAlexaff
Ryan Martens

Bibliographic record

VenueTSpace · 2005
Typedissertation
Language
FieldEngineering
TopicComputational Fluid Dynamics and Aerodynamics
Canadian institutionsBank of Canada
Fundersnot available
KeywordsRamjetCombustorCombustionIgnition systemComputer simulationInletShock (circulatory)InjectorTurbulenceOblique shock
DOInot available

Abstract

fetched live from OpenAlex

The numerical simulation of the three-dimensional flowfield of a shcramjet was performed using the WARP code, in which multispecies Favre-averaged Navier-Stokes equations are closed by the k-o turbulence model and the Wilcox dilational dissipation correction. The hydrogen/air chemical reactions are modeled by Jachimowsky's 9 species, 20 reaction model. This thesis addresses the problem of designing a shock-induced combustion ramjet (shcramjet) engine. Previous studies have investigated cantilevered ramp injectors using a two oblique shock external compression inlet with a hydrogen slot injector to suppress ignition. The present study uses a cowl to generate flow-turning angles of 12° and 16°. The reflected shocks induce combustion after ignition delays of 10.5 cm and 4.5 cm, respectively. It was found that maximum thrust potentials for each case were 203.4 and 218.8 Ns/kg, indicating that an increase in shock strength reduces the ignition delay without contributing to any significant increase in thrust potential.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.296
Teacher spread0.285 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2005
Admission routes1
Has abstractyes

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