Corrosion Behavior of Carbon Steel in Alkanolamine/Room-Temperature Ionic Liquid Based CO<sub>2</sub> Capture Systems
Bibliographic record
Abstract
To address the drawbacks of aqueous alkanolamine based state-of-the-art technology for industrial scale carbon dioxide capture, among a number of options, alkanolamine/room-temperature ionic liquid (RTIL) systems are also being tested as a likely replacement. These new schemes seem to be a better alternative to hamper corrosion occurrence. Omission of the aqueous phase marks abolition of probable oxidizing species mainly responsible for corrosion in water-based chemical absorption processes. In the present study, the corrosion phenomenon in amine/room-temperature ionic liquid blends comprised of alkanolamine/s (monoethanolamine, 2-amino-2-methyl-1-propanol, diethanolamine, N -methyldiethanolamine) and hydrophilic room-temperature ionic liquid ([BMIM][BF 4 ], [EMIM][BF 4 ], and [EMIM][Otf]) has been investigated by systematically probing the effect of amine/RTIL type, process temperature, CO 2 loading, presence/absence of oxygen in flue gas, as well as the influence of water content. The analytical techniques exercised in this regard include linear polarization resistance (LPR), scanning electron microscopy (SEM), and energy-dispersive X-ray spectroscopy (EDX).
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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 | 0.001 |
| 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 | 0.001 | 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".