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Record W1967115505 · doi:10.1109/cjece.2009.5291209

High-speed axial-flux permanent-magnet generator with coreless stator

2009· article· en· W1967115505 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

VenueCanadian Journal of Electrical and Computer Engineering · 2009
Typearticle
Languageen
FieldEngineering
TopicElectric Power Systems and Control
Canadian institutionsnot available
Fundersnot available
KeywordsStatorMagnetPermanent magnet synchronous generatorGenerator (circuit theory)Flux (metallurgy)Electrical engineeringShunt generatorMechanical engineeringPermanent magnet motorMaterials sciencePhysicsEngineeringMetallurgyPower (physics)

Abstract

fetched live from OpenAlex

High-speed axial-flux generators (HSAFGs) with coreless stators are regarded as high-power-density, small-size, high-efficiency machines for use in distributed power generation systems (as microturbines). This paper presents a modelling procedure for such generators with details. The ratio of inner to outer diameter (lambda) in axial-flux machines is considered in the same way that the ratio of length to diameter is considered in radial-flux (conventional) machines. The optimized lambda is determined for an HSAFG with three rotors and two stators by careful consideration of the output voltage and efficiency variations versus lambda. It is concluded that lambda plays an important role in the HSAFG and requires careful attention when the machine is designed.

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 score0.343
Threshold uncertainty score0.689

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 head0.002
GPT teacher head0.140
Teacher spread0.138 · 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