Minimizing printed spiral coil losses for inductive link wireless power transfer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This work aims for the design of printed spiral coils (PSC) with high quality factors. This consists in minimizing coil losses represented by proximity and eddy currents losses. For this purpose, specific geometric parameters characterizing spiral coils are shown to have a direct impact on increasing such losses. As a result, to minimize proximity effect, high ratios between the interspace separating two adjacent traces and the trace width are recommended to be used. In addition, to reduce eddy current losses, an empirical equation is developed to determine the optimal inner diameter sizes of the coils. The obtained numerical results confirmed that, using the proposed design constraints, the quality factor of the coils improves by 40 % in average with only 12 % decrease of the coil inductance value. Analytical formulation of the coil quality factor is obtained. Comparing analytical to simulation results, the obtained errors are reduced from 43 % to only 5 % when the recommended design constraints are applied.
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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 it