Research on Thermal Deformation Behavior of GH696 Superalloys
Bibliographic record
Abstract
In this study, the mechanical behavior of GH696 alloy during high temperature compression deformation were studied on the Gleeble-3500. Based on the results of thermal simulation compression deformation experiment, the thermal processing maps of the alloy were drawn. The results show that the flow stress of GH696 alloy during thermal simulated compression deformation decreases with the increase of deformation temperature and increases with the increase of strain rate. The dynamic softening effect of GH696 alloy is small, and the flow stress reaches the peak flow stress and enters the steady flow stage. The strain rate sensitivity index of GH696 alloy increases with the increase of deformation temperature and decreases with the increase of strain rate. The strain hardening index of GH696 alloy decreases with the increase of deformation temperature and increases with the increase of strain rate. It provides a theoretical basis for the regulation of GH696 alloy precision forging process.
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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 | 0.001 | 0.001 |
| 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".