Oxidation Behavior and Conductivity of UNS 430 Stainless Steel and Crofer 22 APU with Spinel Coatings
Bibliographic record
Abstract
Coatings of Cu-Mn, Co-Mn, and Cu-Fe spinels were obtained on UNS 430 and Crofer 22 APU ferritic stainless steel by oxidation of electroplated metal coatings. The thickness of the spinel coatings was 20-30 um. The average weight gain of Crofer 22 APU with Cu-Mn, Co-Mn, and Cu-Fe spinel coatings after 1400 hours oxidation at 750{degree sign}C was 0.00052 g/cm2, 0.00022 g/cm2, and 0.00027 g/cm2, whereas the average weight gain of UNS 430 stainless steel with Cu-Mn, Co-Mn, and Cu-Fe spinel coatings was respectively 0.0003 g/cm2, 0.0001 g/cm2, and 0.00021 g/cm2. The area specific resistance of both Cu-Mn and Co-Mn spinel coated alloys was 0.003 Ω•cm2 after oxidation at 750åC for 1500 hours. Compared with an ASR of 0.189 Ω•cm2 for uncoated UNS 430, it is clear that the coatings can effectively provide a conductive path to the metallic substrate.
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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 | 0.001 |
| 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".