EFFECT OF RARE EARTH OXIDE GEL CHARACTERISTICS ON HIGH TEMPERATURE OXIDATION BEHAVIOR OF IRON-CHROMIUM ALLOYS
Bibliographic record
Abstract
PDF | The influence of various rare earth (RE) oxide gels - La2O3, CeO2, Pr2O3, Nd2O3, Sm2O3, Gd2O3, Dy2O3, Y2O3, Er2O3, and Yb2O3 - on cyclic oxidation behavior in the range RT- 900oC of Fe20Cr alloys has been studied. This paper presents the effect of rare earth oxide gel characteristics such as morphology, coverage and crystallite size on oxidation behavior of the alloy. These characteristics varied with the type of rare earth. Overall, the oxidation resistance increased with increase in time at temperature required to reach a specific chromium dioxide layer thickness and this was influenced by both the rare earth ion radius as well as the oxide gel characteristics. The latter affected the adhesion and resistance to thermal and growth stresses in the chromium dioxide layer.
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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".