Electrochemical Investigation on the Effect of Heat-stable Salts on Corrosion in CO<sub>2</sub> Capture Plants Using Aqueous Solution of MEA
Bibliographic record
Abstract
Amine treating plants have long encountered the problem of solvent degradation associated with nonregenerable heat-stable salts. This work investigated the effect of six heat-stable salts on corrosion of process equipment made of carbon steel 1018 and stainless steel 304. The investigation was done by conducting electrochemical corrosion experiments in a 5 kmol/m 3 aqueous solution of monoethanolamine (MEA) at 80 °C under 0.20 mol/mol CO 2 loading. The results show that heat-stable salts caused the solution corrosiveness to increase to various degrees, depending upon type and concentration of salt. Oxalate was the most corrosive, followed by malonate and formate. No salts induced pitting corrosion on either test material.
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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".