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Record W4385560336 · doi:10.23977/jemm.2023.080303

Improved Blade Element Theory and Autorotating Rotor Aerodynamic Characteristics Analysis

2023· article· en· W4385560336 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Engineering Mechanics and Machinery · 2023
Typearticle
Languageen
FieldEngineering
TopicAerospace Engineering and Control Systems
Canadian institutionsnot available
Fundersnot available
KeywordsBlade element theoryAerodynamicsWakeRotor (electric)Aerodynamic forceBlade (archaeology)Fourier seriesMechanicsPhysicsHelicopter rotorPlane (geometry)Structural engineeringMathematicsEngineeringGeometryMathematical analysis

Abstract

fetched live from OpenAlex

During forward flight, the flow field of autorotating rotor was very complicated, which caused induced velocity of the disc plane difficult to be obtained. In order to analyze aerodynamic characteristics of the autorotating rotor, improved blade element theory, using the unlimited-bladed fixed wake method to establish a mathematical model, which could obtain velocity of the disc plane induced by fixed wake of autorotating rotor. According to the Biot-Savert Theorem, the expression of axial induced velocity of disc plane could be got by integerating. The circulation and induced velocity were all expanded into Fourier series by azimuth, and then axial induced velocity could be carried out by iteration. Combined the blade element theory, aerodynamic forces of the autorotating rotor was obtained, and then analyzed its aerodynamic characteristics.

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)0.001
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 score0.456
Threshold uncertainty score0.830

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.183
Teacher spread0.180 · 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