CFD modeling of columns equipped with structured packings: I. Approach based on detailed packing geometry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract A three‐dimensional computational fluid dynamics (CFD) modeling approach based on detailed packing geometry for packed columns equipped with structured packings is presented. Simulations have been carried out by commercial CFD package FLUENT. Complex packing geometries were implemented by generating fine meshes for flow domains inside packed columns. Turbulence was modeled by the standard k‐ϵ model with FLUENT's enhanced wall treatment. Experiments on single‐phase pressure drop through Flexipac 3Y structured packing have been carried out in a 0.3‐m ID packed column with air flow to validate the modeling approach. A circular column and a rectangular column have been simulated with three different structured packings—BX packing with corrugation angles of 45° and 30° and Flexipac 3Y. One‐component single‐phase flow and two‐component single‐phase flow with species dispersion (mass transfer) have been simulated. Predicted pressure drop are in good agreement with the experimental data and data from literatures. The simulation results also demonstrated the ability of the CFD approach to capture the anisotropic characteristic of flow in structured packings. Copyright © 2007 Curtin University of Technology and John Wiley & Sons, Ltd.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 | 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