Influence of Precipitation and Grain Size on the Hot Ductility of Alloy C-276 ESR Ingots
Bibliographic record
Abstract
The influence of precipitation and grain size on the hot ductility of alloy C-276 ESR ingots has been determined.Tensile tests were performed in the temperature range of 950 to 1200°C at a strain rate of 6.1 /sec.The precipitation of the Ρ phase in this alloy revealed a detrimental influence on the hot ductility, because these precipitates tend to fracture prior to grain boundary sliding and dynamic recrystallization during deformation, and hence favor a low ductility cleavage fracture.Isolating the influence of precipitation from that of solution treatment for 2 hours showed that a considerable dissolution of the precipitates induced a significant improvement in the hot ductility, giving the mechanism for grain boundary sliding and dynamic recrystallization during deformation.Hot ductility drops at 1050 and 1200°C are attributed to the precipitation reprecipitated especially at grain boundary before deformation and grain boundary weakening at high temperatures, respectively.However, the worst hot ductility occurred when the solution of precipitates and grain growth were generated and the precipitates were reformed again in a fine form especially at the grain boundaries before deformation at intermediate temperatures.
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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".