Modeling and experimental study of induction heating of moving bronze blocks
Bibliographic record
Abstract
This paper discusses a new method for electrical heating of moving bronze blocks that are used in a copper anode continuous casting machines. Until recently, the only means of heating has been the use of natural gas burners. This method however is inefficient, noisy, and the waste heat involved is very difficult to manage. An efficient method, using induction heating of a thin ferromagnetic layer bonded to the top of the bronze blocks was proposed to replace the natural gas burners.This method permits an excellent magnetic coupling, and therefore a very efficient transfer of energy into the ferromagnetic layer and then its thermal transfer to the bronze blocks. A specialized software Flux 2D has been used for computer simulation of coupled magneto-dynamic and thermal processes in design and optimization of the induction heating process. A study has been done on different frequencies, coil design and dimensions. A special one-side pancake inductor, using a magnetic field concentrator, was used to test the proposed method. This inductor showed very good electrical and mechanical performances.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".