On filtration and heat insulation properties of foam formed cellulose based materials
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
Novel biodegradable, low-density porous materials based on wood fibres are produced in foam laid media called foam-paper. Applications of foam-paper are studied in sub-micron aerosol filtration and heat insulation. The effect of foam air-content and fibre type on the variation of final product properties is determined. In the first study, the effect of fibre morphology and crowding number are investigated on the major filtration parameters such as pressure-drop, air-permeability and filtration-efficiency. The results show that increasing fibre specific surface and crowding number and decreasing pulp freeness leads to increasing both filtration efficiency and pressure-drop of foam-papers. Different combinations of additives and two methods of drying are applied in order to optimize filtration characteristics. The best filtration properties are obtained using air-dried samples with 10% and 30% weight ratio of Northern Bleached Softwood Kraft (NBSK) valley beaten fibres and freeze-dried Nanofibrillated Lyocell Fibres at high air-contents. In the second study, variations of thermal conductivity of standard foam-papers with respect to foam air-content are investigated. The results of foam-papers at higher air-contents are comparable with the results of commercial heat insulators.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it