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Influence of Unsteady and Kinematic Parameters on Aerodynamic Characteristics of a Pitching Airfoil

2018· article· en· W2892849551 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Aerospace Engineering · 2018
Typearticle
Languageen
FieldEngineering
TopicBiomimetic flight and propulsion mechanisms
Canadian institutionsUniversity of British Columbia
FundersChina Scholarship CouncilNational Natural Science Foundation of ChinaCompute Canada
KeywordsAirfoilAerodynamicsKinematicsAerospace engineeringAerodynamic centerMechanicsAerodynamic forcePitching momentGeologyAngle of attackStructural engineeringPhysicsControl theory (sociology)EngineeringComputer scienceClassical mechanics

Abstract

fetched live from OpenAlex

Most unmanned aerial vehicles which fly with moving wings or encounter gusts at low Reynolds number conditions make pitching oscillation motions. The aerodynamic forces and flow field around the wings vary dramatically with the unsteady motion parameters (reduced frequency, mean angle of attack, and amplitude). This study conducts numerical simulations to investigate the influence of such parameters on the aerodynamic characteristics of a pitching NACA 0012 airfoil. The respective cases are researched through computational fluid dynamics (CFD) based on the finite-volume method (FVM). The governing equations are the unsteady, incompressible two-dimensional Navier–Stokes (N-S) equations. The airfoil performs sinusoidal pitching oscillations with respect to the quarter chord at the Reynolds number 2.53×105. A detailed analysis of the force coefficients and how their evolution is affected by the dynamics of flow structures generated during pitch oscillations is presented. The results show that these parameters change the instantaneous force coefficients quantitatively and qualitatively. The effective angle of attack is different at various locations of the airfoil chord during the oscillation motion, which determines the deviations of forces at the same angle of attack during pitch-up and pitch-down periods. It is also observed that the strength, interaction, and convection of the vortex surrounding the airfoil are significantly affected by the variations of these parameters.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score0.588

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 head0.004
GPT teacher head0.185
Teacher spread0.181 · 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