Dynamic transformation and retransformation during the simulated plate rolling of an X-70 steel
Bibliographic record
Abstract
A seven-pass rolling schedule was simulated on the McGill hot torsion machine.The first and last pass temperatures were 950 and 860C with 15 of cooling between passes.All of the rolling was carried out above the Ae3 temperature of 845C that applies to this composition.Interpass times of 10 and 30 s were employed, which corresponded to cooling rates of 1.5 and 0.5C/s, respectively.Samples were quenched before and after the first, third, fifth, and seventh passes in order to determine the amount of dynamic ferrite produced in a given pass.The data also allowed for estimation of the amounts of ferrite that retransformed to austenite during the holding period.The volume fractions of ferrite and martensite (prior austenite) were determined by optical metallography.The amounts of dynamic ferrite formed increased with pass number, averaging about 13 and 10% per pass for the 10-and 30-s schedules, respectively.The amounts of retransformed ferrite also increased with pass number, averaging about 7% for both interpass times.The effect of employing longer holding intervals above the Ae3 after finish rolling to permit more retransformation is also discussed.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".