Corrosion Performance of Grain Boundary Engineered Alloy 22 for Application in Nuclear Waste Storage Containers
Bibliographic record
Abstract
Abstract As a result of its excellent corrosion resistance, Alloy 22 (UNS N06022), has been selected a candidate material for the construction of high level nuclear waste storage containers. However, its intergranular corrosion resistance is known to be affected by simulated long term aging at elevated temperatures, and may also be compromised by container closure weld operations. Advances in understanding structure-property relationships for grain boundaries in polycrystalline materials have led to the development of cost-effective thermomechanical processes for the control of grain boundary structures in numerous conventional polycrystalline materials. These processing methods (GBE) have been previously shown to yield significant improvements in resistance to sensitization, intergranular corrosion and stress corrosion cracking. In this study, the applicability of GBE processing to Alloy 22 canister materials will be presented and discussed. The relative intergranular corrosion susceptibility of GBE- processed and conventional wrought Alloy 22 will be presented under conditions of simulated long term aging (i.e. 649°C upto 1000 hours) and closure weld operations.
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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".