Bibliographic record
Abstract
The performance of many industrial applications such as gas conditioning and gas scrubbing relies on efficient mass transfer in gas-liquid contacting devices. The most common contacting devices are packed and tray columns. The spray column has been used in applications to remove sulfur dioxide (SO2) from flue gas. There is little published data on the efficiency of a spray column for the removal of carbon dioxide (CO2). In this paper the efficiency of the spray column was experimentally tested for the removal of CO2with monoethanolamine (MEA) as the solvent. The experiments were carried out in a 0.1-m diameter column at varying liquid-to-gas (UG) ratios. The overall rate of mass transfer was measured by collecting and analyzing samples of a simulated flue gas entering and leaving the column. The efficiency of the spray in terms of mass transfer coefficient and the effective mass-transfer area produced were reported as a function of process variables. The process variables include the gas flow rate, liquid flow rate, spray nozzle type and the liquid and gas compositions. The efficiency of the spray column was then directly compared to a packed column with structured packing.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".