Particularities of the formations of bainite and martensite/austenite phase in low carbon low alloy steels during continuous cooling
Bibliographic record
Abstract
The industrial X80 steel chemistry has been modified by increased amounts of Mn, Cr and a new leaner base chemistry (0Ni-0Cu-0.04Nb) has been used with carbon contents of ± 0.04 and 0.07 wt.%. Continuous-cooling-transformation diagrams were obtained by deformation dilatometry to determine the effects of steel compositions on phase transformations and microstructure evolution with cooling rates in the range of 0.5–130 Ks−1. The effects of alloying on bainite transformation, its kinetics and the formation of martensite/austenite constituents were determined. Thermodynamic analysis is carried out for the modified chemistries and it shows that growing bainite laths stimulate the decomposition of residual austenite by strain-induced martensite transformation at a later stage of the overall bainite transformation.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 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".