Microstructure evolution model for hot strip rolling of Nb–Mo microalloyed complex phase steel
Bibliographic record
Abstract
A microstructure model for hot strip rolling of an Nb–Mo microalloyed complex phase steel has been proposed. The constitutive behaviour of austenite is described by the Kocks–Mecking model. The static softening kinetics is simulated by a combined recovery recrystallisation model using the law of mixtures. Ferrite transformation start is modelled with an approach that considers the early growth of corner nucleated ferrite. Bainite start is related to a critical driving pressure. Both ferrite and bainite reactions are described using the Johnson–Mehl–Avrami–Kolmogorov (JMAK) approach in combination with the additivity rule. The martensite fraction is empirically related to the carbon enrichment in austenite and is, thus, a function of the ferrite fraction formed in the final microstructure. Precipitation strengthening during coiling is simulated with a modified Shercliff–Ashby model. The microstructure models for these metallurgical phenomena have been validated with experimental studies of laboratory simulated hot strip rolling conditions and run-out table cooling strategies.
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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) | 0.001 | 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) | 0.002 | 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".