Thermal characteristics and physical properties of silk fabrics grafted with phosphorous flame retardant agents
Bibliographic record
Abstract
The production of flame retardant silk fabrics is very challenging and there is limited technology available on fire retardant silk applications. In this study, two flame retardant monomers having phosphoric groups, phosmer M and phosmer CL, were applied onto silk fabrics by a graft copolymerization technique. The grafted silk fabrics showed a high level of flame retardancy as evaluated by Japanese Industrial Standard micro-burner test method. It was shown that grafting techniques using phosmer CL are more effective than those using phosmer M to enhance the flame retardant functional properties of the silk fabrics. The differential scanning calorimetry, thermogravimetric analysis and thermomechanical analysis showed that the thermal stability of silk fibroin molecules was greatly enhanced by graft copolymerization with the used phosmers. The position of thermal decomposition for silk fabric shifted toward higher temperature after graft copolymerization with phosmer CL and M. Fourier transform infrared spectra showed evidence of the reaction between the used phosmers and silk. However, the surface morphology of silk fiber was very smooth and fine, and the tensile strength was not significantly affected regardless of the graft copolymerization with phosmer M and CL.
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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 | 0.000 |
| 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) | 0.001 | 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".