Corrosion of UNS N06625 Alloy under Batch-Mode Biomass Supercritical Water Gasification (SCWG) Conditions
Bibliographic record
Abstract
Abstract Biomass SCWG is seen as one of the most promising thermochemical pathways to produce green hydrogen. However, there is a serious concern about corrosion of biomass SCWG reactor alloys for long-term operation due to the presence of high-pressure and high- temperature supercritical water, aggressive catalyst and reducing gaseous products (such as H2 and CO). In this study, the corrosion performance of UNS N06625, a commonly applied Ni-based alloy for high temperature systems, was investigated in the conditions associated with the SCWG of three representative biomass model compounds (including cellulose, lignin, and xylan) at 500 °C and 30 MPa for total 12 cycles of batch-mode operations. The produced gaseous mixtures were collected and analyzed using Micro-GC to explore the environmental chemistry. Except for weight change measurements, the corrosion products formed on the alloys were also characterized using SEM, EDS and XRD techniques to advance fundamental understanding of how the alloy corrodes under the SCWG conditions. Additional investigations, including cross-sectional SEM/EDS analysis and weight loss measurement following scale removal will be pursed in subsequent research to gain quantitative understanding of corrosion mechanisms.
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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 | 0.000 |
| 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 | 0.001 |
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; both teacher heads agree on what is shown here.
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".