High-Performance Spoke-Type Pmsm Rotor for High-Torque, Low-Speed Applications
Bibliographic record
Abstract
The research presents a two-step design process for a spoke-type Permanent Magnet Synchronous Motor (PMSM) tailored for high-torque, low-speed applications. In the first step, the dimensions of the magnet and its position is decided by carrying out parametric analysis in a finite element software. Then, flux barriers are designed in the rotor to improve the overall performance. The designed motor's performance is compared with an identical sized 3.5 kW surface mounted PMSM, which is used in high-torque, low-speed elevator application. Finite Element Analysis (FEA) reveals that the proposed design improves the average torque output by about 48 %, reduces the torque ripple by 10 % and reduces cogging torque ripple by 4.8 %.
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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) | 0.000 | 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".