Improvement of rotational torque and suspension force by winding arrangement in a bearingless motor drive for a solid-liquid separator
Bibliographic record
Abstract
This paper presents an improved mechanism for a solid-liquid separator (SLS) which separates solid and liquid from its mixture by using the centrifugal force and specific gravity difference. A bearingless motor (BELM) is applied for the SLS to reduce its mechanical loss, vibration and acoustic noise. In the proposed BELM an increase in suspension force is realized by modifying the winding arrangement under a constant motor volume. The proposed winding arrangement is explained in detail and the principle of the suspension force generation is also introduced. The rotational torque and the suspension force are computed by finite element (FE) analysis software using the improved machine model. The computed results clearly satisfy the target capacity of SLS. In addition, the torque ripple is successfully reduced by skewing the rotor. The proposed BELM with the modified winding arrangement is found to be suitable for application in industrial SLS particularly, for mining industries.
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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".