Losses in an optimized 8-pole radial AMB for Long Term Flywheel Energy Storage
Bibliographic record
Abstract
In this paper, we will study the effect of losses (non including losses in the power electronic) of an optimized eight pole radial AMB on the discharge time of a no-load Long Term Flywheel Energy Storage (LTFES). Load capacity is the main parameter of an Active Magnetic Bearings (AMB) design. This parameter has to take into account the external disturbance force which may be constant, synchronous with the rotor angular velocity or completely general. To relatively simplify this study, we restricted the effect of external disturbance to a constant unbalance force only. The latter plays a high part on the size of bearing system. Before optimizing the AMB design, we have built and validated an Excel theoretical model with 2-D Finite Element Method (FEM). Several optimizations have been made in order to seek the minimum of both copper and iron losses we could obtain for a given load capacity. Then, evolution of losses functions of angular velocity speed of rotor has been drawn. Flywheel discharge time has been computed to pass from 9000 rpm to 4500 rpm and evolution of this time versus mass of AMB has been shown for different values of unbalance forces.
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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".