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A Hybrid Coaxial Magnetic Gear Using Flux-Focusing Halbach Permanent Magnet Arrangement

2023· article· en· W4386632111 on OpenAlexaff
Essossinam Frederic Aloeyi, Aran Shoaei, Qingsong Wang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsMagnetic gearTorque densityTorque rippleMagnetTorqueHalbach arrayCoaxialFinite element methodRotor (electric)Magnetic fluxPhysicsMagnetic fieldMechanical engineeringElectrical engineeringEngineeringDirect torque controlVoltage

Abstract

fetched live from OpenAlex

The interest in developing magnetic gears (MGs) has been considerably increased in recent years due to the numerous advantages such as high torque density, low maintenance and overload protection. In this paper, a new MG that integrates flux-focusing and Halbach configurations is proposed. The special design of the radially magnetized permanent magnets (PMs) at both edges of the inner rotor improves the magnetic field distribution and enables the proposed MG to be designed with a high torque density. Parameter sweep analysis is used to maximize the torque density of the proposed flux-focusing Halbach coaxial MG (FFH-CMG), and reduce the volume of PM material used in the design. Finally, the electromagnetic performance of the proposed FFH-CMG is investigated using both 2D and 3D finite element analysis (FEA). The results show that the proposed FFH-CMG can achieve the largest torque density when compared with its counterparts and maintain a low torque ripple.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.883
Threshold uncertainty score0.999

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)0.0020.001

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 head0.018
GPT teacher head0.218
Teacher spread0.201 · 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.

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

Citations7
Published2023
Admission routes1
Has abstractyes

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