HIGH TEMPERATURE CORROSION RESISTANCE OF MODIFIED REACTIVE ELEMENT ALUMINIDE DIFFUSION COATINGS ON IN738 SUPERALLOY
Bibliographic record
Abstract
Modified aluminide diffusion coatings on IN738 substrates were produced by a new route using continuously cast, aluminum alloy wires consisting of Al-Y, Al-Si-Y, Al-La and Al-Ce. The cast wires were used as evaporation sources for ion vapour deposition followed by diffusion heat treatments to form nickel aluminide coatings. The ability of the different coatings to resist corrosion was evaluated by conducting experiments during which the coated alloy materials were exposed for prolonged periods to molten sulfates at 900 °C. The results indicated that the Al-Ce modified coating provided the greatest protection against the molten sulphate environment. The other coatings provided less protection and it was concluded that sulfidation followed by oxidation played a major role in their degradation.On a produit des revêtements par diffusion à base d’aluminium, modifiés, sur des substrats d’IN738 par une nouvelle route utilisant des fils d’alliage d’aluminium coulés en continu consistant d’Al-Y, d’Al-Si-Y, d’Al-La et d’Al-Ce. On a utilisé les fils coulés comme sources d’évaporation pour métallisation ionique sous vide suivie de traitements thermiques de diffusion pour former des revêtements d’aluminide de nickel. On a évalué l’habileté des différents revêtements à résister à la corrosion en effectuant des expériences au cours desquelles les matériaux de revêtement alliés étaient exposés pour des durées prolongées à des sulfates fondus à 900 °C. Les résultats indiquaient que le revêtement modifié d’Al-Ce fournissait la plus grande protection contre l’environnement de sulfate fondu. Les autres revêtements fournissaient une protection moindre et l’on a conclu que la sulfuration suivie par l’oxydation jouait un rôle majeur dans leur dégradation.
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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".