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Record W7132126120

Aerodynamic analysis of a high speed test rig for use in engine test facilities

2021· article· en· W7132126120 on OpenAlexvenueaboutno aff
Faezeh Rasimarzabadi, Martin Neuteboom, Catherine Clark, Hans Mårtensson

Bibliographic record

VenueNPARC · 2021
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Fluid Dynamics Research
Canadian institutionsnot available
Fundersnot available
KeywordsAerodynamicsPropulsionComputational fluid dynamicsTest (biology)Fuel efficiencyCruiseMach numberFlight test
DOInot available

Abstract

fetched live from OpenAlex

A boundary layer ingestion (BLI) test rig has been developed by National Research Council of Canada in Ottawa for studying a sub-scale BLI propulsion technology that has the potential to reduce aircraft fuel consumption by improving the propulsion efficiency of aircraft engines. This paper provides details of the aerodynamic design and analysis of the related test rig. This BLIrig is unique compared to most known projects in that it is capable of achieving representative cruise flight altitudes and Mach numbers while most other known studies have been performed at sea level and lower speeds. The results include CFD simulation of applying an ejector to get high subsonic flow at the tunnel test section, as the first option, then modifying the existing high altitude test rig at different parts, as a better option for a BLI test rig.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score0.701

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.237
Teacher spread0.222 · 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
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

Citations0
Published2021
Admission routes2
Has abstractyes

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