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Record W2087547906 · doi:10.1109/iemdc.2007.383570

Analytical Model for Design of High-Speed Slotless Brushless Machines with SMC Stators

2007· article· en· W2087547906 on OpenAlexaff
Ahmed Chebak, P. Viarouge, J. Cros

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsStatorMagnetYoke (aeronautics)Eddy currentElectromagnetic coilMagnetic fieldAir gap (plumbing)Magnetic coreCore (optical fiber)Mechanical engineeringMaterials sciencePhysicsControl theory (sociology)MechanicsComputer scienceElectrical engineeringEngineeringComposite material

Abstract

fetched live from OpenAlex

This paper presents a general analytical model for the design of high-speed slotless permanent magnet brushless motors equipped with surface-mounted magnets and using soft magnetic composite material (SMC) in the stator. The electromagnetic model is formulated in polar coordinates and based on the prediction of the two-dimensional magnetic field distribution in the magnets/air-gap/windings/stator core regions, produced by the magnets and the stator currents windings. It takes into account the effects of the stator core eddy currents induced in the massive homogeneous SMC material. Different machine performances like the instantaneous torque under brushless operation and the total magnetic losses are evaluated. The analytical design model is validated by FE analysis in terms of magnetic field distribution and total stator core loss. The influence of the stator yoke thickness and the SMC material conductivity on the motor performances is investigated. Experimental results are given for the stator magnetic losses.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.826
Threshold uncertainty score0.468

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 head0.020
GPT teacher head0.236
Teacher spread0.216 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations22
Published2007
Admission routes1
Has abstractyes

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