In-plane and through-thickness permeability models for three-dimensional Interlock fabrics
Why this work is in the frame
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Bibliographic record
Abstract
An analytical model has been created to estimate the in-plane and through-thickness permeability of three-dimensional Interlock fabrics. The model is based on the calculation of the pressure drop in the mesoscopic pores, i.e. in the inter-tow spaces of the fabric. Firstly, the dimensions and distribution of the mesopores are determined from the weaving parameters. A mesoscopic permeability model can then be inferred from the fabric structural data. The contribution of the microscopic flow inside the tows is also taken into account by introducing the concept of dual scale porosity. This additional feature is shown to improve the permeability model, which is validated by comparison with the experimental values of principal permeability measured for five different three-dimensional Interlock fabrics.
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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 | 0.001 | 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 it