Research technology of the core nanoyarn for Filtration Application
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
The paper focuses on the technical application of polymeric nanofiber materials.It introduces the usage of linear nanofiber structures, e.g.nanoyarns, for producing filter candles with the capacity of water or air filtration.The research focuses on producing composite nanofibrous yarn containing a micro-fibre core covered with a nanofiber sheath prepared by the highly effective technology: electrospinning in alternating electric field (AC electrospinning).The core of the composite yarn is used to provide sufficient mechanical strength, while the nanofibrous sheath offers an additional function, e.g. for advanced filtering capacity.The filter cartridges are made using a unique winding device, enabling the production of filters of various sizes as well as with different winding parameters.At the same time, the production line is designed to eliminate any mechanical or chemical irregularities in the nanofiber sheath.The work describes the technology of production of core nanoyarn with polyester core fibres and poly-vinylbutyral nanofibrous cover wounds on filter cartridges.The filter cartridges were measured on a custom-made laboratory setup.Experimental tests of microplastic filtration with various sizes confirmed the filter efficiency for this application.Based on measurement results, filter cartridges with different structural as well as material compositions are discussed and suggested.Filters based on natural and biodegradable materials as the next step in the research of the usage of sustainable nanotechnologies are also discussed in the paper.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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