A new approach to minimize the cogging torque of axial flux pmg for under water applications
Bibliographic record
Abstract
The rotor of a typical water current turbine rotates below 100 rpm. In conventional hydro installation the generator is coupled to the turbine via a gear box, so that it can typically rotate at a speed of 1500 or 1800 rpm. The water current turbine can be simplified by eliminating the gear box and by using a low-speed generator, the rotor of which rotates at the same speed as the rotor of the turbine. The main design challenge for a direct driven Permanent Magnet Generator (PMG) is to minimize the cogging torque. Cogging torque is an inherent characteristic of PMGs and is caused by the geometry of the generator. In this paper a new approach to minimize the PMG cogging torque is proposed. Basic design of a low cogging torque generator is also provided.
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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 | 0.000 |
| 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) | 0.000 | 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".