Effect of deformation on the bainitic transformation
Bibliographic record
Abstract
The effect of deformation on the growth kinetics of bainitic ferrite plates was investigated under two types of conditions. In the first, deformation (ausforming) precedes the austenite-to-bainite transformation, while in the second case the phase transformation and deformation occur concurrently. The results clearly demonstrate that ausforming accelerates the nucleation of bainitic ferrite plates, leading to significant refinement of the final microstructure. When the bainite transformation takes place during deformation, the effect on nucleation was less obvious, but a clear increase in the growth rate of bainitic ferrite was observed. A modified version of the Zener-Hillert model for plate growth, with adjustments that allow for incorporating the effect of defects in the matrix and the effect of applied deformation on the movement of interfacial disconnections, was used to rationalize the effect of deformation on the growth kinetics. The calculations show that after ausforming, the stored dislocations act as a barrier to the growth of bainitic ferrite plates, resulting in a decreased lengthening rate. Conversely, when the transformation occurs concurrently with deformation, the lengthening rate of bainitic ferrite plates is accelerated due to the interaction between the applied stress and the disconnections at the tip of the bainitic ferrite plates.
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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 | 0.000 | 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".