Schedule-free and Reducing Sizing Mill Rolling of Bar
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
In order to meet the needs of small lot sizes and more standards of rounds, avoid frequent roll changing of tandem mill, schedulefree and reducing sizing mill rolling technology can be adopted. It adds circular sets for dividers with 2, 3 or 4 rolls behind the bar tandem mill. Through adjusting roll opening instead of changing pass, changing the product standards in small scope is realized. The accuracy of rolled piece lies on not only mill accuracy but also deformation mode, therefore, the grain coarsening zone should be avoided and the free spreading of rolled piece should also be controlled. Adopting sizing rolling mill can improve the size accuracy of 20～40mm hot rolled rounds from ±0.5mm to ±(0.1～0.2)mm.
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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 | 0.001 | 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