Utilization of Copper Clad Aluminum Hairpin Windings to Mitigate Eddy Current Losses
Bibliographic record
Abstract
Mitigation of eddy current losses within hairpin windings utilized by traction e-motors is of great importance when improving electromagnetic performance, especially at high frequencies, as skin and proximity effects result in a concentration of current density leading to significant power losses. This paper explores the use of copper clad aluminum (CCA) hairpin windings within a motorette to demonstrate the reduction of power losses through the mitigation of eddy current losses while also providing a significant weight and cost reduction. Through performing finite element method (FEM) a relationship between power losses and frequency was determined, which showed advantageous domains for CCA over homogenous copper or aluminum conductors. The incorporation of aluminum reduces the rise of AC losses, as frequency increases, demonstrated by the AC/DC ratio. For the proposed model, various volume percentages of copper within CCA were simulated which increased its preferable frequency interval.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| 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 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".