Modelling the Transformations Kinetics from Work-Hardened Austenite in a TRIP Steel
Bibliographic record
Abstract
Using physical concepts, an integrated transformation model to describe the kinetics of ferrite and bainite formation from work-hardened austenite has been developed for a Mo-TRIP steel. The ferrite sub-model assumes a mixed-mode kinetics under paraequilibrium condition and accounts explicitly for the effect of alloying elements by considering their interaction with the moving ferrite-austenite interface. To predict the onset of bainite formation, which corresponds to the cessation of ferrite reaction along a given cooling path, a criterion based on a critical driving pressure is formulated. Regarding the kinetics of the subsequent bainite reaction, the proposed model adopts the Zener-Hillert diffusional approach. The proposed integrated model has been employed to describe the continuous cooling transformation kinetics for a 0.19C-1.5Mn-1.6Si- 0.2Mo (wt%) TRIP steel that had previously been subjected to a systematic experimental study. The predictive capabilities of the model and the challenges for further model improvements are delineated.
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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 | 0.001 |
| 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) | 0.001 | 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 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".