Determination of reversible permeability in the presence of a strong bias field
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".