Localized Corrosion Susceptibility of AA7050 Produced by Controlled Diffusion Solidification
Bibliographic record
Abstract
Controlled diffusion solidification (CDS) is a process designed to enable net-shape casting of high-strength AA7xxx alloys by mitigating hot tearing during solidification. The objective of this work was to benchmark the localized corrosion susceptibility of AA7050 produced by CDS against the conventional wrought rolled plate counterpart (both in the peak-aged T6 temper). Relative localized corrosion susceptibility was determined by electrochemical polarization measurements and cyclic corrosion testing (ASTM G85 - Annex 2) and rationalized by differences in the microstructure, as revealed by light optical and scanning electron microscopy. The localized corrosion mode was a combination of intergranular corrosion and selective grain attack, with the dominant mode depending on material: selective grain attack for the CDS material (equiaxed grain structure) and intergranular (exfoliation) corrosion for wrought material (elongated grain structure). The presence of large intermetallic particles that decorate grain boundaries, which are cathodic relative to the Al matrix phase, combined with a Cu-depleted zone adjacent to grain boundaries, were implicated as critical factors driving selective grain attack of the CDS material, as observed in the through-thickness direction.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".