Design of slotted permanent magnet linear synchronous motor for improved thrust density
Bibliographic record
Abstract
Since a linear motor with high thrust density and low thrust ripple is desired for many industrial applications, in this paper, a design methodology is proposed to achieve these objectives. A slotted permanent magnet linear synchronous motor (SPMLSM) which inherently offers the highest force density among various types of linear motors is selected for analysis and optimization procedure. An analytical model is derived for the SPMLSM by solving Maxwell's equations for calculating the magnetic field and force. Motor dimensions are then optimized using the analytical model and genetic algorithm, where the increase of force density and the reduction of thrust ripple are considered as the optimization target. In this study, to reach a higher optimal point in the multidimensional search space of the machine design, cogging force caused by slot effect is initially neglected in the model. Subsequently, pole-shifting is applied to the optimal model to eliminate cogging force and satisfy design objectives. Finally, the effectiveness of the proposed technique to enhance motor performance is investigated by a time-stepping transient finite-element method. The results show an improvement in the performance of optimized motor.
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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 | 0.000 | 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".