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Record W1919562237 · doi:10.1109/ccece.2000.849731

Design limitations of reduced magnet material passive rotor transverse flux motors investigated using 3D finite element analysis

2002· article· en· W1919562237 on OpenAlexafffund
B.E. Hasubek, E.P. Nowicki

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMagnetStatorFinite element methodRotor (electric)Air gap (plumbing)Mechanical engineeringMagnetic fluxMechanicsPhysicsControl theory (sociology)Materials scienceMagnetic fieldEngineeringStructural engineeringComputer scienceComposite material

Abstract

fetched live from OpenAlex

This paper presents an analysis of the design limitations of reduced magnet material passive rotor transverse flux motors with permanent magnets on the stator. The benefit of passive rotor designs is that the magnets are located on the fixed stator, which facilitates the use of active fluid cooling if necessary. The field and force solutions are obtained using three-dimensional finite element analysis for electromagnetic fields. Linear as well as saturation cases are investigated to establish design parameter dependencies and to determine minimum and maximum values for certain design parameters, such as the air gap flux density generated by the flux accumulator design of the magnets. It is shown that passive rotor designs achieve the same force densities as active rotor designs and design parameter recommendations are given that insure high force densities and low magnet material use.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.059
GPT teacher head0.214
Teacher spread0.156 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations25
Published2002
Admission routes2
Has abstractyes

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