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Record W2321458691 · doi:10.2514/6.2010-4457

Unsteady Low-Reynolds-Number Computational Study of an Airfoil Undergoing a Novel Figure-Eight Kinematics

2010· article· en· W2321458691 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

Venue40th Fluid Dynamics Conference and Exhibit · 2010
Typearticle
Languageen
FieldEngineering
TopicBiomimetic flight and propulsion mechanisms
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAirfoilReynolds numberKinematicsComputational fluid dynamicsComputer scienceGeometryMechanicsPhysicsMathematicsClassical mechanicsTurbulence

Abstract

fetched live from OpenAlex

The objective of the present study is to simulate the low Reynolds number (LRN) fluid dynamics of a two-dimensional (2-D) elliptic airfoil performing a novel figure-eight-like motion. To this end, the influence of Reynolds number (Re) and amplitude of pitching motion on the fluid flow is investigated. Navier-Stokes (N-S) equations are solved using a Finite Volume Method (FVM), and the instantaneous lift and drag coefficients and the corresponding vortical structures are analyzed. The results show that both Re and the amplitude of pitching oscillations have great influence on the fluid dynamics characteristics of the flapping airfoil.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.907
Threshold uncertainty score0.978

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 head0.010
GPT teacher head0.226
Teacher spread0.215 · 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