Environment Effects on Chromia (Cr2O3) Scale Stability Formed on Type 310S Stainless Steel During Wet Oxidation
Bibliographic record
Abstract
The possibility of surrogating high-pressure supercritical water (SCW) with an ambient pressure air-10% H2O (wet air) mixture for studying wet oxidation of Type 310S stainless steel (UNS S31008) at high temperatures was examined using gravimetric measurements coupled with electron microscopy techniques. A distinctly different wet oxidation kinetic rate law was observed in the two environments at 550°C: parabolic for the wet air mixture and para-linear (“breakaway”) for SCW. The differing rate law is attributed to differences in the mass transport kinetics parameters, which are not well defined for SCW, that likely control Cr volatilization from the oxide scale, starting with the presumed MnCr2O4 spinel outer layer. Although the wet air mixture is not considered to be a suitable surrogate environment for SCW at the temperature of interest, it may prove useful to help determine microstructure instability effects on wet oxidation at elevated 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 | 0.000 |
| 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".