Influence of Operating Temperature on the Corrosion of Alloy UNS S50200 under Catalytic Hydrodeoxygenation of Pyrolysis Oil by Supercritical Ethanol with In-situ Hydrogen Source
Bibliographic record
Abstract
Abstract Catalytic hydrodeoxygenation (HDO) presents a promising method to improve the quality of crude pyrolysis oil. The upgraded oils have untapped potential to replace fossil fuels partially or completely. In our previous study, corrosion of UNS S30400 was investigated at temperature range from 80-325 °C during catalytic HDO of pyrolysis oil by supercritical ethanol with in-situ hydrogen source. It was found that there was few corrosion damage in this system on UNS S30400. In this study, alloy UNS S50200 was investigated in same reaction system at reaction temperature range from 80-375 °C to facilitate the commercialization of the developed HDO technology by finding a more economic reactor material. After 20 h exposure, weight change and weight loss measurements were used to evaluate the corrosion rate of alloy UNS S50200. And modern microcopy techniques including SEM, EDS, XRD were utilized for corrosion products analysis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".