Evaluating dealloying as a precursor to stress corrosion cracking: a micro-mechanical testing approach
Bibliographic record
Abstract
Dealloying (selective dissolution) results in the formation of a (nano)porous film which has been proposed to act as a precursor to stress corrosion cracking (SCC) by a cleavage mechanism. The geometry of this film (e.g., ligament size and thickness) influences its ability to act as a precursor. This study investigates the micro-scale mechanical response of a dealloyed layer formed on Alloy 800 when exposed to boiling 50 wt% NaOH solution. Post-exposure in-SEM tensile and micro-cantilever bending tests were conducted on porous films of different geometries, formed after 2, 18 and 24 h of exposure. Results indicate that a porous dealloyed layer is more brittle compared to the base material and SCC can be induced, even with the corrosive environment removed. Increasing the time of exposure coarsened ligaments resulting in increased ductility of the porous film. In contrast, increasing the strain rate resulted in the porous film shifting towards brittle failure.
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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) | 0.002 | 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".