Investigation on the deformation and microstructure evolution of P91 steel in short-term small punch creep test
Bibliographic record
Abstract
Small punch creep test is a semi-destructive method which can be used for creep determination and assessment of the probability of failure. The deformation during this small punch creep test is very complicated because the accumulation of both plastic and creep deformation will lead to the failure. In order to understand the mechanism of small punch creep test from grain orientation changes during creep and fracture process, small punch creep test was carried out using P91 steel under a 500 N load at 600 °C in this study. Finite element method was used to simulate the mechanical deformation process. Electron back-scattered diffraction technique and texture analysis were used to analyze the microstructure of the small punch creep deformation and rupture. The results showed that the grain orientation evolves from the rather random orientation in the first stage to the<110>//ND texture in the tertiary stage which caused mainly by shear strain.
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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".