Modelling and Experimental Study of Membrane Wetting in Microporous Hollow Fiber Membrane Contactors
Bibliographic record
Abstract
A kinetic model has been developed to predict the distribution of wetness along a hollow fiber and the average wetness as a function of time in hollow fiber membrane (HFM) contactors. The membrane absorption experiments were conducted using the diethanolamine (DEA) solution as absorbent to absorb CO 2 in polyvinylidene fluoride (PVDF) and polypropylene (PP) HFM contactors. The influences of operating conditions (such as solution concentration, temperature, liquid and gas flow rates) on the membrane wetting process in a HFM contactor were also investigated in experiments. The experimental data were fitted to the proposed kinetic equations. The fitting results indicate that the proposed kinetic equation successfully described the membrane wetting process and prove that the membrane wetting rate was controlled by the solute adsorption on the bare pore wall. Therefore, this model may provide support for the design of membrane contactors suffering from membrane wetting.
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 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 | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".