Physical and Chemical Resistance of Elastomers in Aqueous Monoethanolamine (MEA) and CO<sub>2</sub>-Loaded MEA Solutions during Postcombustion Carbon Dioxide Capture Processes
Bibliographic record
Abstract
The resistance of raw EPDM, natural rubber, isobutylene isoprene, and styrene butadiene to amines in terms of mass and chemical changes was studied using aqueous solutions of 3–7 M MEA with 0–0.5 mol CO 2 /mol MEA each for 30 days at 40 °C. The results showed that SBR and NR had poor chemical resistance leading to formation of amides on their surfaces and resulting in high mass change. In contrast, EPDM and IIR had insignificant mass and chemical structure changes. Commercial EPDM and IIR were then benchmarked against PTFE, using aqueous 5 M MEA and with 0.5 mol CO 2 /mol MEA at 40 and 120 °C each for 30 days. Resistance was measured in terms of mass, hardness, and tensile strength changes. The results showed that PTFE was compatible with the solution at both temperatures. For EPDM and IIR at 40 °C, the changes in mass, hardness, and tensile strength were negligible while at 120 °C, these changes were very significant, implying that PTFE can be used in any part of the process while EPDM and IIR can only be used in low-temperature sections.
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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".