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Record W2032097608 · doi:10.2514/1.c031856

Low-Reynolds-Number Aerodynamic Performances of the NACA 0012 and Selig–Donovan 7003 Airfoils

2013· article· en· W2032097608 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Aircraft · 2013
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsNACA airfoilAirfoilReynolds numberLaminar flowMechanicsFreestreamAngle of attackFlow separationTurbulencePhysicsReynolds-averaged Navier–Stokes equationsAerodynamicsGeometryClassical mechanicsMathematicsAerospace engineeringEngineering

Abstract

fetched live from OpenAlex

A comparative study of two airfoils at low Reynolds numbers using the transitional unsteady Reynolds-averaged Navier–Stokes shear-stress transport model and the ANSYS CFX computational fluid dynamics suite is proposed. The NACA 0012 and Selig–Donovan 7003 airfoils were selected and exposed to chord-based Reynolds numbers ranging from to at angles of attack ranging from 0 to 8 deg. The adopted numerical model and setup were shown to accurately predict the main flow features. Specifically, both laminar separation without reattachment and laminar-separation-bubble flow modes were observed depending on the airfoil geometry and orientation, Reynolds number, and freestream-turbulence intensity. In general, with increasing angle of attack or Reynolds number, laminar-separation bubbles shrank and receded toward the leading edge while vortex-shedding periodicity and coherency degraded. In all cases, the Selig–Donovan 7003 proved of superior aerodynamic performance when compared to the NACA 0012, which was expected.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.407

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 head0.003
GPT teacher head0.173
Teacher spread0.170 · 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