Self-started voltage-source series-resonant converter for high power induction heating and melting applications
Why this work is in the frame
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Bibliographic record
Abstract
An inverter configuration for high power induction heating and melting applications is presented. The proposed inverter covers loads with quality factors up to 12 while featuring self-starting capabilities. This is achieved by properly distributing the compensated capacitor between the primary and the secondary of the matching transformer. The transient analysis of the configuration defines the maximum ratio of the primary and secondary capacitors in order to assure self-starting. On the other hand, the steady state analysis defines the minimum ratio to limit the operating flux level of the matching transformer to a safe level. This paper identifies the sources of self-starting failures in the standard configuration and presents the transient and steady state analyses towards a systematic procedure of components design for the proposed topology. Experimental results on a laboratory prototype to prove the theoretical considerations are also included.
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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