Design of a Novel Rare-Earth-Free Variable Flux Motor Combining Iron-Nitride and AlNiCo Magnets
Bibliographic record
Abstract
This work presents a novel rare-earth-free variable flux motor (VFM) combining AlNiCo and Iron-Nitride (FeN) magnets. The proposed rotor demonstrates the high torque density feature of the hybrid magnet VFMs along with a wide field regulation range of rare-earth-free VFMs. A newly developed Iron Nitride (FeN) magnet is employed. This new magnet is used to construct the V-shaped portion of the rotor which allowed excellent loading demagnetization withstanding ability along with improved utilization of the reluctance torque. To benefit the parallel hybrid magnet characteristics without excessively increasing the remagnetization current, the spoke type portion of the rotor is made of two different grades of AlNiCo magnets. Initially, the flux variation mechanism is presented in the form of different operational modes. Then, the electromagnetic performance is described showing the machine capability of achieving the same torque density of the existing hybrid magnet VFMs. By fully demagnetizing the proposed machine, 50% of the rated torque can be attained due to the high reluctance torque capability.
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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 | 0.000 |
| 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 | 0.001 | 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".