Influence of Operating Temperature on the Corrosion of UNS S30400 Steel under Catalytic Hydrodeoxygenation of Pyrolysis Oil by Supercritical Ethanol with In-situ Hydrogen Source
Bibliographic record
Abstract
Abstract Catalytic hydrodeoxygenation (HDO) is a promising approach to upgrade crude pyrolysis oil to achieve the ambitious target of partial or complete replacement of fossil fuel with bio-oil. Our recent study indicates that formic acid is an alternative in-situ hydrogen source to effectively improve oil properties for final application and significantly reduce cost and safety concerns compared to using high pressure H2 gas. In this work, corrosion of UNS S30400 (a candidate reactor constructional steel) was investigated under the catalytic HDO of crude pyrolysis oil by supercritical ethanol and formic acid in the temperature range of 80 to 350 °C to simulate the commercialization of the developed HDO technology. After 10 cycles exposure, the corrosion rate of the steel was evaluated using direct weight change and weight loss measurements. The formed corrosion products were examined with modern characterization techniques (SEM, EDS, XRD) to advance the corrosion mechanism.
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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".