Effect of Interpass Time on the Dynamic Transformation of a Plain C–Mn and a Nb Microalloyed Steel
Bibliographic record
Abstract
Strip rolling simulations were carried out on a 0.06%C-0.3%Mn-0.01%Si and a 0.11%C-1.0%Mn-0.11%Si-0.03%Al-0.034%Nb steel over the temperature range 1000°C to 883°C. Pass strains of 0.4 were applied at a strain rate of 1 s–1 with interpass times of 0.5 s, 1 s, 1.5 s, 3 s and 5 s. Two different temperature schedules were employed, namely i) continuous cooling at 6°C/s and ii) isothermal holding. The mean flow stresses (MFS’s) applicable to strip rolling were determined by integration. The flow stress levels and MFS’s decrease when the interpass times are short. When they are long, the flow stress increases with decreasing temperature. These observations indicate that the austenite is transforming dynamically into ferrite and statically into austenite. The nucleation and growth of the ferrite reduce the rolling load and modify the microstructure. The addition of Nb in solid solution delays the occurrence of dynamic transformation (and the retransformation of ferrite back into austenite). The forward nucleation of ferrite occurs displacively while the retransformation back into austenite takes place by a diffusional mechanism.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".