Study of Surface Hydrogenation Effect on Fatigue Crack Initiation in ASTM 904L Austenitic Stainless Steel Under Cyclic Loading (Bending-Torsion)
Bibliographic record
Abstract
In an austenitic stainless steel type ASTM 904L that was cathodically hydrogenated, outgassed, and subsequently tested, the initiation of fatigue cracks was investigated.Tests were run with 50Hz combined loads (bending and torsion) and were paused at different periodsof fatigue life to allow scanning electron microscopy inspection of the gage surface of the samples (SEM).Slip marks were not visible on the surface of the hydrogenated and outgassed material, in contrast to the non-hydrogenated fatigued material.Its tired gage surface has consistently been related with the pre-existing hydrogen-induced fissures and has shown the "peeling off" of extremely thin layers in various locations from the start of the fatigue life.However, it was discovered that the major fatigue crack began subsurfacely, most likely along the boundary between the ductile material inside and the hydrogen-hardened exterior layer.It seems unlikely that the hydrogen-induced surface cracks will be employed as a tool to simulate the fatigue behavior of short fractures in austenitic stainless steels because they do not grow on their own.
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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".