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Record W4403411970 · doi:10.5539/apr.v16n2p30

Rotor-Through-Coils Toroidal-Flux Reluctance E-Motor for Aviation

2024· article· en· W4403411970 on OpenAlexvenueno aff
Luis Teia

Bibliographic record

VenueApplied Physics Research · 2024
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsToroidRotor (electric)Flux (metallurgy)MechanicsPhysicsAerospace engineeringMaterials scienceEngineeringNuclear physicsPlasma

Abstract

fetched live from OpenAlex

Electrification of aviation propulsion is in progress. New electric motor architectures — beyond axial and radial fluxes — may be required to unlock its full potential in meeting the demanding functional requirements (in terms of power, weight and efficiency) and certification requirements (from airworthiness authorities) set for airborne operating engine. This article presents a new class of toroidal-flux reluctance electric motors, where the rotor travells inside the coils — the Rotor-Through-Coils (RTC) Reluctance E-Motor. Extensive finite element magnetic model analysis was conducted (including motor operational characteristics assessment), following from an existing validated approach. The power delivered by five series-mounted motors rivales fuel-injected engines powering existing acrobat airplanes, including similar dimensions. A further important advantage will follow in a sequel publication showing the substantial advantage of this motor architecture to be entirely and effeciently air-cooled (like high pressure turbines already do in turbofans), removing the added complexity, weight, cost and certification issues implied in using onboard liquid coolants.

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.

How this classification was reachedexpand

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.957
Threshold uncertainty score0.660

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.047
GPT teacher head0.333
Teacher spread0.286 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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