A new model for designing multi-hole multi-permeability nonlinear LTCC inductors
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
Nonlinear inductors have wide applications in DC/DC converters. The multi-hole multi-permeability nonlinear inductors have been proved to have gradually changing wide-range inductance curve while requiring no extra DC bias, which makes them suitable in various high efficiency DC/DC converters. This paper focuses on the design of such a multi-hole multi-permeability inductor. In the conventional design, complicated simulation needs to be executed when the coupling matrix among all the holes are taken into consideration. A dedicated model for calculating the inductance value is proposed in this paper to reduce the complexity. In the proposed model, the inductance simulation is simplified to calculating inductance of three basic units which are included in a nine-hole inductor. By simulating the nine-hole inductor, inductance of any rectangle shape multi-permeability nonlinear inductor with any number of evenly distributed holes on it can be calculated. Based on the proposed model, design guideline of the nonlinear inductor is also summarized. A sixteen-hole, two-permeability prototype is presented to demonstrate the design process according to the new model. The complete simulation and the test results are also provided to verify the model. The proposed model correlate with the simulation results very well.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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