Tempering Response of Martensitic and Bainitic Microstructures
Why this work is in the frame
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Bibliographic record
Abstract
High strength heavy gauge plate steels for structural applications are subjected to quenching and tempering treatments. Due to the material thickness, different cooling rates are obtained throughout the thickness of the material and several grades do not fully harden to martensite, resulting in a material containing a mixture of martensite and bainite. Therefore, it is desirable to model the tempering response of martensitic and bainitic microstructures in order to allow tempering optimization for mixed microstructures. The early stages of tempering as well as the high temperature tempering were studied with respect to martensite and bainite with a focus on the influence on the tempering response associated with the presence of the alloying elements molybdenum (Mo), vanadium (V), chromium (Cr), and silicon (Si). Microstructural characterization prior to tempering was performed using light optical microscopy, scanning electron microscopy, and electron backscatter diffraction. Tempering response was assessed through dilatometry, Vickers micro-hardness, and Mssbauer spectroscopy. Finally, tensile and impact properties were studied using tensile and Charpy V-notch testing.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it