Corrosion under Hydrothermal Liquefaction Biorefining Process
Bibliographic record
Abstract
Abstract The corrosion modes and extents of three candidate alloys (UNS S31603, UNS S31000 and UNS N06625) was investigated under simulated hydrothermal liquefaction (HTL) conditions. The effect of alkaline catalysts (K2CO3), operating pressure and flow rate on corrosion was also examined. Results indicated that the three alloys underwent general oxidation in hot pressurized water, of which SS 316 exhibited worse corrosion resistance compared to SS 310 and Alloy 625. The addition of K2CO3 resulted in a significant increase in the corrosion rates of the alloys, likely due to the formation of soluble metal hydroxides in basic environment. Environmental loop tests showed that higher operating pressure led to a marginal increase in the corrosion rates of SS 310 and Alloy 625. Increasing flow rate from 9 to 15 had no noticeable effect on the corrosion rates of the alloys in hot pressurized water at 310 °C and 10 MPa.
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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".