Corrosion Behavior of Carbon Steel in the Monoethanolamine−H<sub>2</sub>O−CO<sub>2</sub>−O<sub>2</sub>−SO<sub>2</sub> System: Products, Reaction Pathways, and Kinetics
Why this work is in the frame
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Bibliographic record
Abstract
This work investigates the effect of operating parameters on corrosion products, reaction pathways, and kinetics for the corrosion of carbon steel in the monoethanolamine−H 2 O−CO 2 −O 2 −SO 2 system. Corrosion experiments were conducted using a 273A potentiostat unit under conditions in which monoethanolamine (MEA), O 2, and SO 2 concentrations and CO 2 loading were in the range of 1−7 kmol/m 3, 0−100%, 0−204 ppm, and 0−0.5 mol CO 2 /mol MEA, respectively, at corrosion temperatures of 303−353 K to mimic the absorption−regeneration sections. Analysis, performed for this system for the first time, shows that corrosion products generated from the effect of SO 2 include FeSO 4 and Fe 2 O 3 ·H 2 O. Also, a higher concentration of SO 2 in simulated flue gas stream induces a higher corrosion rate because of the increase in the hydrogen ion concentration generated by reactions of SO 2 and H 2 O as well as SO 2, O 2, and H 2 O. A power-law model developed to correlate corrosion rate with the parameters in the MEA−H 2 O−CO 2 −O 2 −SO 2 system shows that corrosion rate of carbon steel increases with an increase in O 2 and SO 2 concentrations in simulated flue gas stream, as well as MEA concentration, CO 2 loading, and operating temperature. It was observed that CO 2 loading had the highest impact on the corrosion rate, while SO 2 and O 2 show only slight effects on the corrosion rate.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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 it