Optimization of Periodic Permanent Magnet Configuration in Lorentz-Force EMATs
Bibliographic record
Abstract
ABSRACTThe relative merits of three different periodic permanent magnet (PPM) configurations are investigated for the generation of SH0 waves with a Lorentz-force electromagnetic acoustic transducer (EMAT) on a 60-mm diameter aluminum pipe. Such transducers are often used for checking the integrity of pipelines. It was found that minimizing lift-off by using magnets machined to the same curvature as the pipe increased the magnitude of the generated wave by over 70%, compared to the use of a PPM with a single planar surface. A less expensive and more versatile alternative is to use a PPM for which the two lines of magnets are angled with respect to each other to realize closer average proximity to the pipe surface. Numerical simulations and experiments indicated that the amplitude of a SH0 wave with this magnet configuration would still be approximately 60% higher than the reference case of a PPM with a single planar surface.
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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".