Abnormal and post-abnormal austenite grain growth kinetics in Nb–Ti microalloyed steels
Bibliographic record
Abstract
The kinetics of abnormal grain growth in austenite was examined in microalloyed steel containing Nb and Ti additions. Abnormal grain growth was triggered by the dissolution of microalloyed carbonitrides during reheating. The progress of abnormal grain growth was determined at 1200, 1300 and 1400°C. Post-abnormal grain growth was defined as the grain growth process which takes place once all of the original fine grains have been consumed by the abnormal grains. The post-abnormal grain growth kinetics appeared to follow a simple parabolic law. The parabolic constant needed to describe post-abnormal grain growth in the present alloy was three times larger than that needed to describe normal grain growth in a similar alloy without Nb and Ti additions. The possible origins of this effect are briefly discussed.On a examiné la cinétique de croissance anormale de grain dans l'austénite d'acier micro-allié contenant des additions de Nb et de Ti. La croissance anormale de grain était déclenchée par la dissolution des carbonitrures micro-alliés lors du réchauffage. On a déterminé le progrès de la croissance anormale de grain à 1200°C, 1300°C et 1400°C. La croissance post-anormale de grain était définie comme le processus de croissance de grain qui a lieu une fois que tous les grains fins originaux ont été consommés par les grains anormaux. La cinétique de la croissance postanormale de grain semble suivre une simple loi parabolique. La constante parabolique nécessaire pour décrire la croissance post-anormale de s grain dans le présent alliage était trois fois plus grande que celle qui est nécessaire pour décrire la croissance normale de grain dans un alliage semblable sans additions de Nb et de Ti. On discute brièvement de l'origine possible de cet effet.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".