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In-Situ Magnetization of a Cold Sprayed Permanent Magnet Rotor Using an Impulse Magnetizer

2021· article· en· W3214559766 on OpenAlexaff
Mathews Boby, Sumeet Singh, Jean-Michel Lamarre, Maged Ibrahim, Fabrice Bernier, Pragasen Pillay

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsNational Research Council CanadaConcordia University
Fundersnot available
KeywordsStatorMagnetMagnetizationImpulse (physics)Rotor (electric)Mechanical engineeringWaveformMaterials scienceFinite element methodEngineeringElectrical engineeringPhysicsMagnetic fieldStructural engineeringVoltageClassical mechanics

Abstract

fetched live from OpenAlex

The design, simulation and testing of an impulse magnetizer and the in-situ post-assembly magnetization of a permanent magnet (PM) rotor manufactured by a cold spray additive manufacturing (AM) using the prototyped magnetizer is presented in this paper. A software based finite element simulation is done to obtain the level of magnetization current required. An impulse magnetizer is built for this specification. A 4-pole rotor with cold-sprayed rectangular magnets is magnetized in this work after assembling it in the stator. Various stator terminal connection configurations are analyzed. The machine is magnetized and the back-EMF waveform and the rotor magnetization profile is obtained.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score1.000

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)0.0010.000

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 head0.011
GPT teacher head0.222
Teacher spread0.211 · 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 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

Citations4
Published2021
Admission routes1
Has abstractyes

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