Chemistry in Surface Boundary Layers as Related to Flow Accelerated Corrosion of Carbon Steel in High Temperature Water
Bibliographic record
Abstract
Flow accelerated corrosion (FAC) is divided into two processes: the corrosion (chemical) process and the flow dynamics (physical) process. The former is the essential cause of FAC, while the latter accelerates its occurrence. Chemistry in the surface boundary layers was analyzed to evaluate FAC rates. First flow pattern and temperature in each elemental volume along the flow path were obtained with 1-3D computational flow dynamics (CFD) codes, next [O2] and [Fe2+] were calculated with a chemical reaction model based on the obtained flow pattern, and then calculated [Fe2+] was fed back to the environmental factors for the wall thinning calculation, at all points of interest, using the modified double oxide layer model. The effects of candidates for countermeasures, e.g., O2 injection and increasing pH, on FAC mitigation could be evaluated. Future wall thinning trends could also be predicted by the model.
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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) | 0.002 | 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".