Force calculation with complete modeling of end-effect in single-sided linear induction motors
Bibliographic record
Abstract
Longitudinal end-effect (LEE) is an important phenomenon which affects the Linear Induction Motor, adversely. This phenomenon leads to some problems such as considerable changes in equivalent circuit (EC) parameters by varying speed, non-uniform field distribution along the air-gap and so, weaker output performance comparing to rotary induction motors (RIMs). This paper proposes to include LEE of Single-Sided Linear Induction Motor (SLIM) in traction and normal forces calculation completely, using the Poynting theorem. By help of the method it will be possible to include the effect of LEE even at entry and exit area of the motor. The analysis will be carried out by help of one-dimensional field analysis (1-D) method. Simulation results based on the proposed method will be evaluated by experimental measurements from Canadian Institute of Guided Ground Transportation (CIGGT).
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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".