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Record W1990135294 · doi:10.1063/1.3129661

Determination of reversible permeability in the presence of a strong bias field

2009· article· en· W1990135294 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Applied Physics · 2009
Typearticle
Languageen
FieldEngineering
TopicNon-Destructive Testing Techniques
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials sciencePermeability (electromagnetism)Electromagnetic coilEddy currentMagnetostrictionMagnetic fieldElectrical impedanceTransducerAcousticsNuclear magnetic resonanceUltrasonic sensorConductivityBiasingFerromagnetismCondensed matter physicsVoltagePhysicsMembraneChemistry

Abstract

fetched live from OpenAlex

A new method is developed to measure reversible permeability as a function of frequency and bias field for application to modeling of magnetostrictive electromagnetic acoustic transducer; these transducers are used for ultrasonic nondestructive evaluation of magnetic materials. The method is based on a new model developed to predict the impedance of a rectangular eddy current coil when placed in proximity to a ferromagnetic specimen; inputs to this model are geometry of the coil, frequency, permeability, and conductivity of the specimen. This method was applied to a specimen of SAE1018 carbon steel. Experimental measurements of the specimen impedance, combined with the new theoretical model, enabled the reversible permeability to be determined in the presence of bias field levels ranging from 0 to 46 000 A/m and frequencies ranging from 350 kHz to 1.1 MHz. Frequency and bias field dependence of reversible permeability for this specimen is consistent with a model of magnetic domain rotation and wall movement.

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.

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: Empirical
Teacher disagreement score0.543
Threshold uncertainty score0.181

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 head0.027
GPT teacher head0.267
Teacher spread0.240 · 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