Experimental characterization of new wire gauze with high capacity structured packing
Bibliographic record
Abstract
Abstract In this paper, experimental studies are conducted to introduce a new high capacity structured packing (PACK‐2100) for the separation of mixtures with low separation factor. To improve the performance of this packing, extensive consideration is given to the construction of a new wire gauze structure packing through various hydrodynamic and mass transfer analyses. The surface area and porosity of new structured packing (PACK‐2100) are increased to enhance the pressure drop and the separation efficiency. In addition, comprehensive parametric studies are performed to evaluate the dry/wet pressure drop and mass transfer efficiency in different operating conditions of the presented packing. Our findings show that this new structured packing reduces dry and wet pressure drops more than 25 % compared to the traditional packing that is used for difficult separations such as Dixon 1/8, with the same specific surface area. In addition, the achieved Height Equivalent Theoretical Plate (HETP) of PACK‐2100 is significantly lower (about 20 %) than other conventional packings. Thus, the PACK‐2100 is highly recommended for the separation of stable isotopes such as 18O and 13C in the distillation process.
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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 | 0.001 |
| 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".