Effect of ausforming and cooling rate on the distribution of high angle boundaries in low carbon bainitic structure
Bibliographic record
Abstract
High Mn-high Nb micro-alloyed steels were investigated by electron back-scattering diffraction(EBSD) to determine the effect of cooling rate and ausforming on the characteristic of misorientation and the distribution of high angle boundaries(HABs) in low carbon bainitic microstructure.The results indicate that there is a dispersion of HABs interspacing from prior austenite grain boundaries to the grain interior.Both fast cooling and ausforming raise the drive force of coherent transformation,weaken variants selection,and are helpful for the increasing of HABs density near the boundaries and in the grains.Moreover,a larger deformation below the non-recrystallization temperature not only can flatten the austenite grains fully,but also can generate incoherent nucleation of fine ferrite grains at the prior austenite boundaries.Also the fine ferrite grains have significant misorientations with adjacent microstructure.
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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 | 0.000 |
| 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) | 0.001 | 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".