Investigation of Mass-Transfer Performance for CO<sub>2</sub> Absorption into Diethylenetriamine (DETA) in a Randomly Packed Column
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Bibliographic record
Abstract
The mass-transfer performance of CO 2 absorption into aqueous diethylenetriamine (DETA) solutions was investigated in an absorption column randomly packed with Dixon rings at 303–303 K and atmospheric pressure, and compared with that of monoethanolamine (MEA), which is widely considered as a benchmark solvent for CO 2 absorption. The mass-transfer performance was presented in terms of volumetric overall mass-transfer coefficient ( K G a v ). In particular, the effects of operating parameters, such as inlet CO 2 loading, solvent concentration, liquid flow rate, inert gas flow rate, and liquid temperature, were investigated and compared for both MEA and DETA. Over 40 runs of absorption experiments were carried out in this study. The results showed that K G a v of DETA was found to be higher than that of MEA. Also, inlet CO 2 loading, solvent concentration, liquid flow rate, and liquid inlet temperature had significant effect on K G a v for both systems. However, the inert gas flow rate had an insignificant effect on K G a v . Lastly, predictive correlations for K G a v for DETA–CO 2 and MEA–CO 2 systems in randomly Dixon ring packed columns were successfully developed. The predicted results were found to be in relatively good agreement with the experimental results, with average absolute deviations (AADs) of 16% and 14%, respectively.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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