Design of Iron-Nitride-Based Permanent Magnet Variable Flux Motors
Bibliographic record
Abstract
This work investigates the application of an Iron-Nitride (FeN) Permanent Magnet (PM) material to variable flux motors (VFMs). Two existing VFMs are used as references, a rareearth-free inverted saliency VFM and a series hybrid VFM. Initially, the inverted saliency VFM performance is evaluated for equal usage of PM material. Then, the PMs are resized for achieving similar electromagnetic performance to the reference VFM. It is noted that although the new PM has 25% higher residual flux density than AlNiCo9 PM, it requires high current for remagnetization. However, adopting the FeN magnet to the inverted saliency machine can allow reducing the PM usage by 42% and hence reduced rotor weight would be expected. By replacing the rare-earth magnet of the series hybrid VFM with FeN, comparable constant torque performance is attained with the advantage of avoiding rare-earth magnet demagnetization risks. This shows that for the investigated torque density levels, the FeN magnet has a high potential for designing existing/upcoming regular and hybrid magnet VFMs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.003 | 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 teacher head, 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".